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0706.0349
Nabanita Dasgupta-Schubert
N. Dasgupta-Schubert (UMSNH), S. Alexander (SWU), L. Sommer (SWU), T. Whelan (UTPA), R. Alfaro Cuevas Villanueva (UMSNH), M. E. Mendez Lopez (UMSNH), M. W. Persans (UTPA)
The Light Quanta Modulated Physiological Response of Brassica Juncea Seedlings Subjected to Ni(II) Stress
9 pages, 7 figures, PDF file only. Based on a lecture presented by N. Dasgupta-Schubert at the ISEB/ESEB/JSEB International Symposium on Environmental Biotechnology in Leipzig, Germany, July 9-13, 2006
Engineering in the Life Sciences, 7(3), 259-267 (2007)
null
null
q-bio.OT
null
This work is a study of the inter-relationship between parameters that principally affect metal up-take in the plant. The relationships between the concentration of metal in the growth medium, Cs, the concentration of metal absorbed by the plant, Cp, and the total biomass achieved, M, all of which are factors relevant to the efficiency of phytoremediation of the plant, have been investigated via the macro-physiological response of Brassica juncea seedlings to Ni(II) stress. The factorial growth experiments treated the Ni(II) concentration in the agar gel and the diurnal light quanta (DLQ) as independently variable parameters. Observations included the evidence of light enhancement of Ni toxicity at the root as well as at the whole plant level, the shoot mass index as a possible indicator of shoot metal sequestration in B. juncea, the logarithmic variation of Cp with Cs and the power-law dependence of M on Cp. The sum total of these observations indicate that for the metal accumulator B. juncea with regard to its capacity to accumulate Ni, the overall metabolic nature of the plant is important; neither rapid biomass increase nor a high metal concentration capability favor the removal of high metal mass from the medium, but rather the plant with the moderate photosynthetically driven biomass growth and moderate metal concentrations demonstrated the ability to remove the maximum mass of metal from the medium. The implications of these observations in the context of the perceived need in phytoremediation engineering to maximize Cp and M simultaneously in the same plant, are discussed.
2007-06-05
0706.0406
Kavita Jain
Kavita Jain
Evolutionary dynamics of the most populated genotype on rugged fitness landscapes
Minor changes. To appear in Phys Rev E
Phys. Rev. E 76, 031922 (2007)
10.1103/PhysRevE.76.031922
null
q-bio.PE cond-mat.stat-mech
null
We consider an asexual population evolving on rugged fitness landscapes which are defined on the multi-dimensional genotypic space and have many local optima. We track the most populated genotype as it changes when the population jumps from a fitness peak to a better one during the process of adaptation. This is done using the dynamics of the shell model which is a simplified version of the quasispecies model for infinite populations and standard Wright-Fisher dynamics for large finite populations. We show that the population fraction of a genotype obtained within the quasispecies model and the shell model match for fit genotypes and at short times, but the dynamics of the two models are identical for questions related to the most populated genotype. We calculate exactly several properties of the jumps in infinite populations some of which were obtained numerically in previous works. We also present our preliminary simulation results for finite populations. In particular, we measure the jump distribution in time and find that it decays as $t^{-2}$ as in the quasispecies problem.
2009-11-13
0706.0418
Oscar Sotolongo
O. Sotolongo-Grau, D. Rodriguez-Perez, J. A. Santos-Miranda, O. Sotolongo-Costa, J. C. Antoranz
Immune System -- Tumor Efficiency Rate as a new Oncological Index for Radiotherapy Treatment Optimization
10 pages, 3 figures
null
null
null
q-bio.PE
null
A dynamical system model for tumor -- immune system interaction together with a method to mimic radiation therapy are proposed. A large population of virtual patients is simulated following an ideal radiation treatment. A characteristic parameter, the Immune System -- Tumor Efficiency Rate (ISTER), is introduced. ISTER dependence of treatment success and other features is studied. Statistical results allow us to give a patient classification scheme. Radiotherapy treatment biological effective dose (BED) is thus optimized based on the patient physical condition, following the ALARA (As Low As Reasonably Achievable) criterion.
2007-06-28
0706.0643
Dietrich Stauffer
Dietrich Stauffer, Christian Schulze, Dieter W. Heermann
Superdiffusion in a Model for Diffusion in a Molecularly Crowded Environment
8 pages including 4 figures
null
null
null
q-bio.SC
null
We present a model for diffusion in a molecularly crowded environment. The model consists of random barriers in percolation network. Random walks in the presence of slowly moving barriers show normal diffusion for long times, but anomalous diffusion at intermediate times. The effective exponents for square distance versus time usually are below one at these intermediate times, but can be also larger than one for high barrier concentrations. Thus we observe sub- as well as super-diffusion in a crowded environment.
2007-06-06
0706.0648
Angel (Anxo) Sanchez
Raul Jimenez, Haydee Lugo, Jose A. Cuesta, Angel Sanchez
Emergence and resilience of cooperation in the spatial Prisoner's Dilemma via a reward mechanism
null
null
null
null
q-bio.PE math.ST nlin.AO physics.soc-ph stat.TH
null
We study the problem of the emergence of cooperation in the spatial Prisoner's Dilemma. The pioneering work by Nowak and May showed that large initial populations of cooperators can survive and sustain cooperation in a square lattice with imitate-the-best evolutionary dynamics. We revisit this problem in a cost-benefit formulation suitable for a number of biological applications. We show that if a fixed-amount reward is established for cooperators to share, a single cooperator can invade a population of defectors and form structures that are resilient to re-invasion even if the reward mechanism is turned off. We discuss analytically the case of the invasion by a single cooperator and present agent-based simulations for small initial fractions of cooperators. Large cooperation levels, in the sustainability range, are found. In the conclusions we discuss possible applications of this model as well as its connections with other mechanisms proposed to promote the emergence of cooperation.
2007-06-06
0706.0683
Jacek Miekisz
Jan Gomulkiewicz, Jacek Miekisz, and Stanislaw Miekisz
Ion transport through cell membrane channels
review paper, 21 pages
null
null
null
q-bio.SC
null
We discuss various models of ion transport through cell membrane channels. Recent experimental data shows that sizes of ion channels are compared to those of ions and that only few ions may be simultaneously in any single channel. Theoretical description of ion transport in such channels should therefore take into account interactions between ions and between ions and channel proteins. This is not satisfied by macroscopic continuum models based on Poisson-Nernst-Planck equations. More realistic descriptions of ion transport are offered by microscopic Brownian and molecular dynamics. One should also take into account a dynamical character of the channel structure. This is not yet addressed in the literature
2007-06-06
0706.0760
Jing Qin
Emma Y. Jin, Jing Qin and Christian M. Reidys
Neutral Networks of Sequence to Shape Maps
24 pages,4 figures
null
null
null
q-bio.QM math-ph math.CO math.MP q-bio.BM
null
In this paper we present a novel framework for sequence to shape maps. These combinatorial maps realize exponentially many shapes, and have preimages which contain extended connected subgraphs of diameter n (neutral networks). We prove that all basic properties of RNA folding maps also hold for combinatorial maps. Our construction is as follows: suppose we are given a graph $H$ over the $\{1 >...,n\}$ and an alphabet of nucleotides together with a symmetric relation $\mathcal{R}$, implied by base pairing rules. Then the shape of a sequence of length n is the maximal H subgraph in which all pairs of nucleotides incident to H-edges satisfy $\mathcal{R}$. Our main result is to prove the existence of at least $\sqrt{2}^{n-1}$ shapes with extended neutral networks, i.e. shapes that have a preimage with diameter $n$ and a connected component of size at least $(\frac{1+\sqrt{5}}{2})^n+(\frac{1-\sqrt{5}}{2})^n$. Furthermore, we show that there exists a certain subset of shapes which carries a natural graph structure. In this graph any two shapes are connected by a path of shapes with respective neutral networks of distance one. We finally discuss our results and provide a comparison with RNA folding maps.
2009-09-29
0706.1017
Yves-Henri Sanejouand
Brice Juanico, Yves-Henri Sanejouand, Francesco Piazza, Paolo de los Rios
Discrete breathers in nonlinear network models of proteins
4 pages, 5 figures. Minor changes
Physical review letters vol. 99, 238104 (2007)
10.1103/PhysRevLett.99.238104
null
q-bio.BM
null
We introduce a topology-based nonlinear network model of protein dynamics with the aim of investigating the interplay of spatial disorder and nonlinearity. We show that spontaneous localization of energy occurs generically and is a site-dependent process. Localized modes of nonlinear origin form spontaneously in the stiffest parts of the structure and display site-dependent activation energies. Our results provide a straightforward way for understanding the recently discovered link between protein local stiffness and enzymatic activity. They strongly suggest that nonlinear phenomena may play an important role in enzyme function, allowing for energy storage during the catalytic process.
2011-11-10
0706.1089
Xuezhao Bao
Xuezhao Bao and Ali Zhang
Geochemistry of U and Th and its Influence on the Origin and Evolution of the Crust of Earth and the Biological Evolution
18 pages, 3 figures, 2 tables. Language correction
ActaPetrolog.Mineral.17:160-172,1998
null
null
physics.geo-ph astro-ph q-bio.PE
null
We have investigated the migration behaviors of uranium (U) and thorium (Th) in Earth and other terrestrial planets. Theoretical models of U and Th migration have been proposed. These models suggest that the unique features of Earth are closely connected with its unique U and Th migration models and distribution patterns. In the Earth, U and Th can combine with oxidative volatile components and water, migrate up to the asthenosphere position to form an enrichment zone (EZ) of U and Th first, and then migrate up further to the crusts through magmatism and metamorphism. We emphasize that the formation of an EZ of U, Th and other heat-producing elements is a prerequisite for the formation of a plate tectonic system. The heat-producing elements, currently mainly U and Th, in the EZ are also the energy sources that drive the formation and evolution of the crust of Earth and create special granitic continental crusts. In other terrestrial planets, including Mercury, Venus, and Mars, an EZ can not be formed because of a lack of oxidative volatile components and water. For this reason, a plate tectonic system can not been developed in these planets. We also emphasize the influence of U and Th in EZ on the development and evolution of life on Earth. We propose that since the Earth and planets were born in a united solar system, there should be some common mechanisms to create the similarities and differences between them. We have tried to develop an integrated view to explain some problems in the tectonics of Earth and evolution, bio-evolution, and planetary dynamics through U and Th geochemistry. We believe that a comprehensive exploration on energy sources and their evolution is a good way to build bridges between different disciplines of science in order to better understand the Earth and planets.
2008-11-26
0706.1102
Piotr Szymczak
P. Szymczak and Marek Cieplak
Influence of Hydrodynamic Interactions on Mechanical Unfolding of Proteins
to be published in Journal of Physics: Condensed Matter
null
10.1088/0953-8984/19/28/285224
null
q-bio.BM
null
We incorporate hydrodynamic interactions in a structure-based model of ubiquitin and demonstrate that the hydrodynamic coupling may reduce the peak force when stretching the protein at constant speed, especially at larger speeds. Hydrodynamic interactions are also shown to facilitate unfolding at constant force and inhibit stretching by fluid flows.
2015-05-13
0706.1198
Anirban Banerjee
Anirban Banerjee and J\"urgen Jost
Spectral plots and the representation and interpretation of biological data
15 pages, 7 figures
Theory in Biosciences, 126(1), 15-21, (2007)
10.1007/s12064-007-0005-9
null
q-bio.QM
null
It is basic question in biology and other fields to identify the char- acteristic properties that on one hand are shared by structures from a particular realm, like gene regulation, protein-protein interaction or neu- ral networks or foodwebs, and that on the other hand distinguish them from other structures. We introduce and apply a general method, based on the spectrum of the normalized graph Laplacian, that yields repre- sentations, the spectral plots, that allow us to find and visualize such properties systematically. We present such visualizations for a wide range of biological networks and compare them with those for networks derived from theoretical schemes. The differences that we find are quite striking and suggest that the search for universal properties of biological networks should be complemented by an understanding of more specific features of biological organization principles at different scales.
2012-10-19
0706.1293
Natalia Kudryavtseva
N.P. Bondar, I.L. Kovalenko, D.F. Avgustinovich, N.N. Kudryavtseva
Influence of experimental context on the development of anhedonia in male mice imposed to chronic social stress
9 pages, 3 figures, 1 table
null
null
null
q-bio.OT q-bio.QM
null
Anhedonia is one of the key symptoms of depression in humans. Consumption of 1% sucrose solution supplemented with 0.2% vanillin was studied in two experimental contexts in male mice living under chronic social stress induced by daily experience of defeats in agonistic interactions and leading to development of depression. In the first experiment, vanillin sucrose solution was made available as an option of water during 10 days to mice living in group home cages. Then the mice were subjected to social defeat stress and during stress exposure they were provided with both vanillin sucrose solution and water using a free two bottles choice paradigm. In the other experiment, vanillin sucrose solution were first offered to mice after 8 days of exposure to social defeat stress. Males familiar with vanillin sucrose solution showed vanillin sucrose preference while experiencing defeat stress: consumption of vanillin sucrose solution was about 70% of total liquid consumption. However, the consumption of vanillin sucrose solution per gram of body weight in mice imposed to social stress during 20 days was significantly lower than in control males. In the second experiment, males after 8 days of social defeat stress were found to consume significantly less vanillin sucrose solution as compared with control males. On average during two weeks of measurements, vanillin sucrose solution intake was less than 20% of total liquid consumption in males with symptoms of depression and anxiety. Consumption per gram of body weight also appeared to be significantly lower than in control group. Influence of the experimental context on the development of anhedonia, which was measured by the reduction in sucrose solution intake by chronically stressed male mice, has been discussed.
2008-05-10
0706.1306
Alain Destexhe
Zuzanna Piwkowska, Martin Pospischil, Romain Brette, Julia Sliwa, Michelle Rudolph-Lilith, Thierry Bal and Alain Destexhe
Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation
9 figures, Journal of Neuroscience Methods (in press, 2008)
Journal of Neuroscience Methods 169: 302-322, 2008.
null
null
q-bio.NC
null
Cortical neurons are subject to sustained and irregular synaptic activity which causes important fluctuations of the membrane potential (Vm). We review here different methods to characterize this activity and its impact on spike generation. The simplified, fluctuating point-conductance model of synaptic activity provides the starting point of a variety of methods for the analysis of intracellular Vm recordings. In this model, the synaptic excitatory and inhibitory conductances are described by Gaussian-distributed stochastic variables, or colored conductance noise. The matching of experimentally recorded Vm distributions to an invertible theoretical expression derived from the model allows the extraction of parameters characterizing the synaptic conductance distributions. This analysis can be complemented by the matching of experimental Vm power spectral densities (PSDs) to a theoretical template, even though the unexpected scaling properties of experimental PSDs limit the precision of this latter approach. Building on this stochastic characterization of synaptic activity, we also propose methods to qualitatively and quantitatively evaluate spike-triggered averages of synaptic time-courses preceding spikes. This analysis points to an essential role for synaptic conductance variance in determining spike times. The presented methods are evaluated using controlled conductance injection in cortical neurons in vitro with the dynamic-clamp technique. We review their applications to the analysis of in vivo intracellular recordings in cat association cortex, which suggest a predominant role for inhibition in determining both sub- and supra-threshold dynamics of cortical neurons embedded in active networks.
2009-04-29
0706.1330
Mensur Omerbashich
M. Omerbashich
Note on: Considering the Case for Biodiversity Cycles: Reexamining the Evidence for Periodicity in the Fossil Record, by Lieberman and Melott, arXiv preprint 0704.2896
A one-page note. For the supplementary information for this note, including the cited Reply and Errata, see math-ph/0608014
null
null
null
q-bio.PE astro-ph physics.geo-ph
null
Lieberman and Melott built their recent arXiv preprint 0704.2896 on my published paper and (a preprint of) a subsequent comment by Liebermans associate Cornette. But had this group waited for the Cornette comment to actually appear in print together with the expected Reply, they would have learned that his comment exposes Cornettes confusion that likely was due to journal misprint of my figure. Thus 0704.2896 is baseless. Despite receiving the extended Reply with Errata, these authors still fail to recognize that detrending of paleontological records-which they erroneously promote as a must-is an arbitrary rather than a universal operation.
2007-06-12
0706.1355
Martin Chaplin
Martin Chaplin
Water's Hydrogen Bond Strength
20 pages
null
null
null
cond-mat.soft physics.bio-ph
null
Water is necessary both for the evolution of life and its continuance. It possesses particular properties that cannot be found in other materials and that are required for life-giving processes. These properties are brought about by the hydrogen bonded environment particularly evident in liquid water. Each liquid water molecule is involved in about four hydrogen bonds with strengths considerably less than covalent bonds but considerably greater than the natural thermal energy. These hydrogen bonds are roughly tetrahedrally arranged such that when strongly formed the local clustering expands, decreasing the density. Such low density structuring naturally occurs at low and supercooled temperatures and gives rise to many physical and chemical properties that evidence the particular uniqueness of liquid water. If aqueous hydrogen bonds were actually somewhat stronger then water would behave similar to a glass, whereas if they were weaker then water would be a gas and only exist as a liquid at sub-zero temperatures. The overall conclusion of this investigation is that water's hydrogen bond strength is poised centrally within a narrow window of its suitability for life.
2007-06-13
0706.1374
Jeffrey Buboltz
Jeffrey T. Buboltz, Charles Bwalya, Krystle Williams, Matthew Schutzer
High Resolution Mapping of Phase Behavior in a Ternary Lipid Mixture: Do Lipid-Raft Phase Boundaries Depend on Sample-Prep Procedure?
4 pages, 4 figures; submitted to Langmuir as a Letter
null
null
null
physics.bio-ph
null
For some time now, we have been using a FRET-based strategy to make high-resolution studies of phase behavior in ternary lipid-raft membrane mixtures. Our FRET experiments can be carried out on ordinary, polydisperse multilamellar vesicle suspensions, so we are able to prepare our samples according to a procedure that was designed specifically to guard against artifactual phase separation. In some respects (i.e., the number and nature of two-phase regions observed), our phase diagrams are consistent with previously published reports. However, in other respects (i.e., overall size of miscibility gaps, phase boundary locations and their dependence on temperature) there are clear differences. Here we present FRET data taken in DOPC/DPPC/Cholesterol mixtures at 25.0, 35.0 and 45.0oC. Comparisons between our results and previously reported phase boundaries suggest that lipid-raft mixtures may be particularly susceptible to demixing effects during sample preparation.
2007-08-14
0706.1437
Ido Kanter
Michael Rosenbluh, Yaara Aviad, Elad Cohen, Lev Khaykovich, Wolfgang Kinzel, Evi Kopelowitz, Pinhas Yoskovits and Ido Kanter
Spiking Optical Patterns and Synchronization
null
null
10.1103/PhysRevE.76.046207
null
physics.optics physics.bio-ph
null
We analyze the time resolved spike statistics of a solitary and two mutually interacting chaotic semiconductor lasers whose chaos is characterized by apparently random, short intensity spikes. Repulsion between two successive spikes is observed, resulting in a refractory period which is largest at laser threshold. For time intervals between spikes greater than the refractory period, the distribution of the intervals follows a Poisson distribution. The spiking pattern is highly periodic over time windows corresponding to the optical length of the external cavity, with a slow change of the spiking pattern as time increases. When zero-lag synchronization between the two lasers is established, the statistics of the nearly perfectly matched spikes are not altered. The similarity of these features to those found in complex interacting neural networks, suggests the use of laser systems as simpler physical models for neural networks.
2009-11-13
0706.1492
Adrien Lerbret
A. Lerbret, P. Bordat, F. Affouard, A. Hedoux, Y. Guinet, M. Descamps
How do trehalose, maltose and sucrose influence some structural and dynamical properties of lysozyme ? An insight from Molecular Dynamics simulations
null
null
null
null
physics.chem-ph cond-mat.soft q-bio.BM
null
The influence of three well-known disaccharides, namely trehalose, maltose and sucrose, on some structural and dynamical properties of lysozyme has been investigated by means of molecular dynamics computer simulations in the 37-60 wt % concentration range. The effects of sugars on the protein conformation are found relatively weak, in agreement with the preferential hydration of lysozyme. Conversely, sugars seem to increase significantly the relaxation times of the protein. These effects are shown to be correlated to the fractional solvent accessibilities of lysozyme residues and further support the slaving of protein dynamics. Moreover, a significant increase in the relaxation times of lysozyme, sugars and water molecules is observed within the studied concentration range and may result from the percolation of the hydrogen-bond network of sugar molecules. This percolation appears to be of primary importance to explain the influence of sugars on the dynamical properties of lysozyme and water.
2007-06-12
0706.1504
George Bass Ph.D.
George E. Bass, Bernd Meibohm, James T. Dalton and Robert Sayre
Free Energy of Activation for the Comorosan Effect
21 pages, 3 figures, 2 tables
null
null
null
q-bio.SC q-bio.BM
null
Initial reaction rate data for lactic dehydrogenase / pyruvate, lactic dehydrogenase / lactate and malic dehydrogenase / malate enzyme reactions were analyzed to obtain activation free energy changes of -329, -195 and -221 cal/mole, respectively, for rate increases associated with time-specific irradiation of the crystalline substrates prior to dissolution and incorporation in the reaction solutions. These energies, presumably, correspond to conformational or vibrational changes in the reactants or the activated complex. For the lactic dehydrogenase / pyruvate reaction, it is estimated that on the order of 10% of the irradiation energy (546 nm, 400 footcandles for 5 seconds) would be required to produce the observed reaction rate increase if a presumed photoproduct is consumed stoichiometrically with the pyruvate substrate. These findings are consistent with the proposition that the observed reaction rate enhancement involves photoproducts derived from oscillatory atmospheric gas reactions at the crystalline enzyme substrate surfaces rather than photo-excitations of the substrate molecules, per se.
2007-06-12
0706.1568
Zhihui Wang
Zhihui Wang, Le Zhang, Jonathan Sagotsky, and Thomas S. Deisboeck
Simulating non-small cell lung cancer with a multiscale agent-based model
37 pages, 7 figures
null
null
null
q-bio.CB
null
Background The epidermal growth factor receptor (EGFR) is frequently overexpressed in many cancers, including non-small cell lung cancer (NSCLC). In silcio modeling is considered to be an increasingly promising tool to add useful insights into the dynamics of the EGFR signal transduction pathway. However, most of the previous modeling work focused on the molecular or the cellular level only, neglecting the crucial feedback between these scales as well as the interaction with the heterogeneous biochemical microenvironment. Results We developed a multiscale model for investigating expansion dynamics of NSCLC within a two-dimensional in silico microenvironment. At the molecular level, a specific EGFR-ERK intracellular signal transduction pathway was implemented. Dynamical alterations of these molecules were used to trigger phenotypic changes at the cellular level. Examining the relationship between extrinsic ligand concentrations, intrinsic molecular profiles and microscopic patterns, the results confirmed that increasing the amount of available growth factor leads to a spatially more aggressive cancer system. Moreover, for the cell closest to nutrient abundance, a phase-transition emerges where a minimal increase in extrinsic ligand abolishes the proliferative phenotype altogether. Conclusions Our in silico results indicate that, in NSCLC, in the presence of a strong extrinsic chemotactic stimulus, and depending on the cell's location, downstream EGFR-ERK signaling may be processed more efficiently, thereby yielding a migration-dominant cell phenotype and overall, an accelerated spatio-temporal expansion rate.
2007-06-13
0706.1611
Vladislav Volman
Vladislav Volman, Richard Gerkin, Pak-Ming Lau, Eshel Ben-Jacob, and Guo-Qiang Bi
Calcium and synaptic dynamics underlying reverberatory activity in neuronal networks
null
Physical Biology, vol.4, pp.91-103, 2007
10.1088/1478-3975/4/2/003
null
q-bio.NC q-bio.PE
null
Persistent activity is postulated to drive neural network plasticity and learning. To investigate its underlying cellular mechanisms, we developed a biophysically tractable model that explains the emergence, sustenance, and eventual termination of short-term persistent activity. Using the model, we reproduced the features of reverberating activity that were observed in small (50-100 cells) networks of cultured hippocampal neurons, such as the appearance of polysynaptic current clusters, the typical inter-cluster intervals, the typical duration of reverberation, and the response to changes in extra-cellular ionic composition. The model relies on action potential-triggered residual presynaptic calcium, which we suggest plays an important role in sustaining reverberations. We show that reverberatory activity is maintained by enhanced asynchronous transmitter release from pre-synaptic terminals, which in itself depends on the dynamics of residual presynaptic calcium. Hence, asynchronous release, rather than being a "synaptic noise", can play an important role in network dynamics. Additionally, we found that a fast timescale synaptic depression is responsible for oscillatory network activation during reverberations, whereas the onset of a slow timescale depression leads to the termination of reverberation. The simplicity of our model enabled a number of predictions that were confirmed by additional analyses of experimental manipulations.
2009-11-13
0706.1683
V. Thanh Ngo
D.L. Hien, N.T. Nhan, V. Thanh Ngo, and N.A. Viet
Simple Combined Model for Nonlinear Excitations in DNA
6 pages, 10 figures, submitted to Phys. Rev. E
Phys. Rev. E 76, 021921 (2007)
10.1103/PhysRevE.76.021921
null
physics.bio-ph physics.atm-clus
null
We propose a new simple model for DNA denaturation bases on the pendulum model of Englander\cite{A1} and the microscopic model of Peyrard {\it et al.},\cite{A3} so called "combined model". The main parameters of our model are: the coupling constant $k$ along each strand, the mean stretching $y^\ast$ of the hydrogen bonds, the ratio of the damping constant and driven force $\gamma/F$. We show that both the length $L$ of unpaired bases and the velocity $v$ of kinks depend on not only the coupling constant $k$ but also the temperature $T$. Our results are in good agreement with previous works.
2007-08-23
0706.1685
V. Thanh Ngo
T. T. Nhan, N. T. Nhan, V. Thanh Ngo, N. A. Viet
Theory on Plasmon Modes of the Cell Membranes
4 pages, 4 figures, submitted to Phys. Lett. A
null
null
null
physics.bio-ph physics.gen-ph
null
Considering the plasmon oscillation of each layer of the cell membranes as a quasi-particle, we introduce a simple model for the membrane collective charge excitations, take into account the surface effective potential of the plasmon-plasmon interaction between two layers. By using the useful Bogoliubov transformation method, we easily obtained the expressions of the frequencies of plasmon oscillations as a function of wave-number $k$ and membrane thickness $d$, magnitude of these frequencies is in the order of $\sqrt{kd}$. Our results are in good agreement with ones obtained by E. Manousakis.
2007-06-13
0706.1748
George Bass Ph.D.
George E. Bass
Crystal Irradiation Stimulation of Enzyme Reactivity: An Explanation
41 pages, 4 figures, 9 tables
null
null
null
q-bio.SC q-bio.BM
null
In 1968, Sorin Comorosan first reported a phenomenon wherein irradiation of the substrate of an enzyme reaction, in the crystalline state, for a specific number of seconds could lead to an enhanced aqueous solution reaction rate for the enzyme(up to 30%). Dependence on crystal irradiation time was found to be oscillatory with a fixed period. The basis for this unusual phenomenon has remained a mystery. Previously unreported experimental results are presented which demonstrate, for the LDH / pyruvate reaction, that the identity of the crystalline material irradiated is, largely, inconsequential. It is proposed here that the irradiation procedure drives oscillatory reactions involving atmospheric gases adsorbed on the crystals and that these photoproducts, or related dark-reaction species, when dissolved, function as enzyme cofactors.
2007-06-13
0706.1754
Ivan Rankenburg Ph.D.
Ivan C. Rankenburg, Veit Elser
Protein structure prediction by an iterative search method
20 pages, 7 figures
null
null
null
q-bio.BM
null
We demonstrate a new algorithm for finding protein conformations that minimize a non-bonded energy function. The new algorithm, called the difference map, seeks to find an atomic configuration that is simultaneously in two constraint spaces. The first constraint space is the space of atomic configurations that have a valid peptide geometry, while the second is the space of configurations that have a non-bonded energy below a given target. These two constraint spaces are used to define a deterministic dynamical system, whose fixed points produce atomic configurations in the intersection of the two constraint spaces. The rate at which the difference map produces low energy protein conformations is compared with that of a contemporary search algorithm, parallel tempering. The results indicate the difference map finds low energy protein conformations at a significantly higher rate then parallel tempering.
2007-06-13
0706.1852
Erik Aurell
Maria Werner, LiZhe Zhu, Erik Aurell
Cooperative action in eukaryotic gene regulation: physical properties of a viral example
7 pages, 6 figures, 1 table
null
10.1103/PhysRevE.76.061909
null
q-bio.SC cond-mat.soft q-bio.MN
null
The Epstein-Barr virus (EBV) infects more than 90% of the human population, and is the cause of several both serious and mild diseases. It is a tumorivirus, and has been widely studied as a model system for gene (de)regulation in human. A central feature of the EBV life cycle is its ability to persist in human B cells in states denoted latency I, II and III. In latency III the host cell is driven to cell proliferation and hence expansion of the viral population, but does not enter the lytic pathway, and no new virions are produced, while the latency I state is almost completely dormant. In this paper we study a physico-chemical model of the switch between latency I and latency III in EBV. We show that the unusually large number of binding sites of two competing transcription factors, one viral and one from the host, serves to make the switch sharper (higher Hill coefficient), either by cooperative binding between molecules of the same species when they bind, or by competition between the two species if there is sufficient steric hindrance.
2009-11-13
0706.1905
Hiroshi Fujisaki
Hiroshi Fujisaki, Kiyoshi Yagi, Kimihiko Hirao, John E. Straub
Quantum dynamics of N-methylacetamide studied by the vibrational configuration interaction method
13 pages, 4 figures, 2 tables, to be published in Chem. Phys. Lett
null
10.1016/j.cplett.2007.06.067
null
q-bio.BM
null
Vibrational energy transfer of the amide I mode of N-methylacetamide (NMA) is studied theoretically using the vibrational configuration interaction method. A quartic force field of NMA is constructed at the B3LYP/6-31G+(d) level of theory and its accuarcy is checked by comparing the resulting anharmonic frequencies with available theoretical and experimental values. Quantum dynamics calculations for the amide I mode excitation clarify the dominant energy transfer pathways, which sensitively depend on the anharmonic couplings among vibrational modes. A ratio of the anharmonic coupling to the frequency mismatch is employed to predict and interpret the dominant energy flow pathways.
2009-11-13
0706.1908
Jason Locasale W
Jason W. Locasale
Computational investigations into the orgins of 'short term' biochemical memory in T cell activation
11 pages, published July 18th 2007
Locasale JW (2007) Computational Investigations into the Origins of Short-Term Biochemical Memory in T cell Activation. PLoS ONE 2(7): e627
10.1371/journal.pone.0000627
null
q-bio.MN physics.bio-ph q-bio.CB q-bio.SC
null
Recent studies have reported that T cells can integrate signals between interrupted encounters with Antigen Presenting Cells (APCs) in such a way that the process of signal integration exhibits a form of memory. Here, we carry out a computational study using a simple mathematical model of T cell activation to investigate the ramifications of interrupted T cell-APC contacts on signal integration. We consider several mechanisms of how signal integration at these time scales may be achieved and conclude that feedback control of immediate early gene products (IEGs) appears to be a highly plausible mechanism that allows for effective signal integration and cytokine production from multiple exposures to APCs. Analysis of these computer simulations provides an experimental roadmap involving several testable predictions.
2007-07-18
0706.1991
Razvan Radulescu M.D.
Razvan Tudor Radulescu and Kai Kehe
Antiproliferative MCR peptides block physical interaction of insulin with retinoblastoma protein (RB) in human lung cancer cells
12 pages, 3 figures
null
null
null
q-bio.SC q-bio.BM
null
Fifteen years ago, a structural analysis of the hormone insulin and the retinoblastoma tumor suppressor protein (RB) revealed that they may physically interact with one another. Subsequently, an RB peptide corresponding to the proposed RB binding site for insulin was found to recognize full-length insulin in vitro. As part of efforts aimed at developing this RB peptide into an anti-cancer drug, this molecule was chemically coupled to a cellular internalization signal and termed "MCR peptide". Meanwhile, several such MCR peptide variants have been demonstrated to restrain the proliferation of different human cancer cells in vitro and in vivo. Moreover, one of the MCR peptides coined MCR-10 was shown to be capable of interfering with the complex formation between insulin and RB in HepG2 human hepatoma cells, as monitored by immunofluorescence. This latter result indicating an in vivo association between insulin and RB was confirmed by a follow-up study combining the methods of co-immunoprecipitation and immunoblotting. Here, we provide evidence for the existence of the insulin-RB complex in A549 human non-small cell lung cancer cells. Specifically, we demonstrate this heterodimer by means of a magnetic beads-based immunoprecipitation approach and equally show that this dimer can be disrupted by MCR-4 or MCR-10 each of which is known to possess antiproliferative properties, yet to a much lesser extent by a control peptide. Thus, this investigation has yielded another important proof for the occurrence of the insulin-RB dimer and, furthermore, its validity as a target for antineoplastic MCR peptides.
2007-06-15
0706.1996
Razvan Radulescu M.D.
Razvan Tudor Radulescu
Planet RB: a personal contribution to a proteomic map of human retinoblastoma protein
4 pages, 1 table
null
null
null
q-bio.BM q-bio.SC
null
As I compress on the canvas of a few pages here major results of my research on the retinoblastoma tumor suppressor protein (RB) spreading over the past 15 years, an exciting picture emerges on this unique host molecule which surpasses in its complexity even that of the most capable viral proteins known to date. Accordingly, RB has the potential to bind not only growth-promoting proteins such as insulin, but also to attach itself to calcium and oxygen, as well as to be secreted into the extracellular environment. Moreover, RB may exert proteolytic, antimicrobial and anti-aging activities. These condensed structure-based insights on RB are the substance of a scientific revolution I have initiated a long time ago, yet likely to gain even further speed in the years to come, thus expanding both our understanding of life at the molecular level and the possibilities for pharmacological modulation of fundamental biological phenomena, particularly in oncology and gerontology.
2007-06-15
0706.2007
Ilya M. Nemenman
Ilya Nemenman, G. Sean Escola, William S. Hlavacek, Pat J. Unkefer, Clifford J. Unkefer, Michael E. Wall
Reconstruction of metabolic networks from high-throughput metabolite profiling data: in silico analysis of red blood cell metabolism
14 pages, 3 figures. Presented at the DIMACS Workshop on Dialogue on Reverse Engineering Assessment and Methods (DREAM), Sep 2006
Ann. N.Y. Acad. Sci. 1115: 102\^a?"115 (2007)
10.1196/annals.1407.013
LANL LA-UR-07-3646
q-bio.MN
null
We investigate the ability of algorithms developed for reverse engineering of transcriptional regulatory networks to reconstruct metabolic networks from high-throughput metabolite profiling data. For this, we generate synthetic metabolic profiles for benchmarking purposes based on a well-established model for red blood cell metabolism. A variety of data sets is generated, accounting for different properties of real metabolic networks, such as experimental noise, metabolite correlations, and temporal dynamics. These data sets are made available online. We apply ARACNE, a mainstream transcriptional networks reverse engineering algorithm, to these data sets and observe performance comparable to that obtained in the transcriptional domain, for which the algorithm was originally designed.
2007-11-19
0706.2024
Eben Kenah
Eben Kenah, Marc Lipsitch, James M. Robins
Generation interval contraction and epidemic data analysis
20 pages, 5 figures; to appear in Mathematical Biosciences
Mathematical Biosciences 213(1): 71-79, May 2008
10.1016/j.mbs.2008.02.007
null
q-bio.QM math.PR stat.AP
null
The generation interval is the time between the infection time of an infected person and the infection time of his or her infector. Probability density functions for generation intervals have been an important input for epidemic models and epidemic data analysis. In this paper, we specify a general stochastic SIR epidemic model and prove that the mean generation interval decreases when susceptible persons are at risk of infectious contact from multiple sources. The intuition behind this is that when a susceptible person has multiple potential infectors, there is a ``race'' to infect him or her in which only the first infectious contact leads to infection. In an epidemic, the mean generation interval contracts as the prevalence of infection increases. We call this global competition among potential infectors. When there is rapid transmission within clusters of contacts, generation interval contraction can be caused by a high local prevalence of infection even when the global prevalence is low. We call this local competition among potential infectors. Using simulations, we illustrate both types of competition. Finally, we show that hazards of infectious contact can be used instead of generation intervals to estimate the time course of the effective reproductive number in an epidemic. This approach leads naturally to partial likelihoods for epidemic data that are very similar to those that arise in survival analysis, opening a promising avenue of methodological research in infectious disease epidemiology.
2023-10-24
0706.2040
Edoardo Airoldi
Edoardo M Airoldi
Getting started in probabilistic graphical models
12 pages, 1 figure
Airoldi EM (2007) Getting started in probabilistic graphical models. PLoS Comput Biol 3(12): e252
10.1371/journal.pcbi.0030252
null
q-bio.QM cs.LG physics.soc-ph stat.ME stat.ML
null
Probabilistic graphical models (PGMs) have become a popular tool for computational analysis of biological data in a variety of domains. But, what exactly are they and how do they work? How can we use PGMs to discover patterns that are biologically relevant? And to what extent can PGMs help us formulate new hypotheses that are testable at the bench? This note sketches out some answers and illustrates the main ideas behind the statistical approach to biological pattern discovery.
2010-02-22
0706.2053
Michael Sadovsky
Michael G.Sadovsky, Maria Yu.Senashova, Kristina A.Kourshakova
Simple Model of Complex Reflection Behaviour in Two-Species Community
10 pages, no figures
null
null
null
q-bio.PE
null
The model of smart migration for two-species community is developed, where the individuals implement reflexive strategy of spatial redistribution. Simulations have been used to figure out the situations where reflexy gives an advantage over a non-reflexive spatial behaviour, and vice versa.
2007-06-15
0706.2077
Michael Sadovsky
Michael G.Sadovsky, Julia A.Putintzeva
Codon Usage Bias Measured Through Entropy Approach
15 pages, 1 figure
null
null
null
q-bio.GN
null
Codon usage bias measure is defined through the mutual entropy calculation of real codon frequency distribution against the quasi-equilibrium one. This latter is defined in three manners: (1) the frequency of synonymous codons is supposed to be equal (i.e., the arithmetic mean of their frequencies); (2) it coincides to the frequency distribution of triplets; and, finally, (3) the quasi-equilibrium frequency distribution is defined as the expected frequency of codons derived from the dinucleotide frequency distribution. The measure of bias in codon usage is calculated for 125 bacterial genomes.
2007-06-15
0706.2115
Debashish Chowdhury
Tripti Tripathi and Debashish Chowdhury
RNA polymerase motors on DNA track: effects of traffic congestion on RNA synthesis
This paper is superseded by the more detailed version arXiv:0708.1067
null
null
null
physics.bio-ph q-bio.GN
null
RNA polymerase (RNAP) is an enzyme that synthesizes a messenger RNA (mRNA) strand which is complementary to a single-stranded DNA template. From the perspective of physicists, an RNAP is a molecular motor that utilizes chemical energy input to move along the track formed by a ssDNA. In some circumstances, which are described in this paper, a large number of RNAPs move simultaneously along the same track. We refer to such collective movements of the RNAPs as RNAP traffic because of the similarities between the collective dynamics of the RNAPs on ssDNA track and that of vehicles in highway traffic. In this paper we develop a theoretical model for RNAP traffic by incorporating the steric interactions between RNAPs as well as the mechano-chemical cycle of individual RNAPs during the elongation of the mRNA. By a combination of analytical and numerical techniques, we calculate the rates of mRNA synthesis and the average density profile of the RNAPs on the ssDNA track. We also suggest novel experiments for testing our theoretical predictions.
2007-08-08
0706.2126
Thierry Cachat
Eugene Asarin (LIAFA), Thierry Cachat (LIAFA), Alexander Seliverstov (IITP), Tayssir Touili (LIAFA), Vassily Lyubetsky (IITP)
Attenuation Regulation as a Term Rewriting System
to appear
Proceedings of the Second International Conference on Algebraic Biology (06/07/2007) 12
null
null
q-bio.QM
null
The classical attenuation regulation of gene expression in bacteria is considered. We propose to represent the secondary RNA structure in the leader region of a gene or an operon by a term, and we give a probabilistic term rewriting system modeling the whole process of such a regulation.
2007-06-15
0706.2214
Tatiana Kuriabova
Tatiana Kuriabova, Alex Levine
Nanorheology of viscoelastic shells: Applications to viral capsids
17 pages
null
10.1103/PhysRevE.77.031921
null
cond-mat.soft q-bio.SC
null
We study the microrheology of nanoparticle shells [Dinsmore et al. Science 298, 1006 (2002)] and viral capsids [Ivanovska et al. PNAS 101, 7600 (2004)] by computing the mechanical response function and thermal fluctuation spectrum of a viscoelastic spherical shell that is permeable to the surrounding solvent. We determine analytically the damped dynamics of the shear, bend, and compression modes of the shell coupled to the solvent both inside and outside the sphere in the zero Reynolds number limit. We identify fundamental length and time scales in the system, and compute the thermal correlation function of displacements of antipodal points on the sphere and the mechanical response to pinching forces applied at these points. We describe how such a frequency-dependent antipodal correlation and/or response function, which should be measurable in new AFM-based microrheology experiments, can probe the viscoelasticity of these synthetic and biological shells constructed of nanoparticles.
2009-11-13
0706.2285
Michele Caselle
L. Martignetti and M. Caselle
Universal power law behaviors in genomic sequences and evolutionary models
15 pages, 3 figures
null
10.1103/PhysRevE.76.021902
null
q-bio.GN cond-mat.other physics.bio-ph q-bio.QM
null
We study the length distribution of a particular class of DNA sequences known as 5'UTR exons. These exons belong to the messanger RNA of protein coding genes, but they are not coding (they are located upstream of the coding portion of the mRNA) and are thus less constrained from an evolutionary point of view. We show that both in mouse and in human these exons show a very clean power law decay in their length distribution and suggest a simple evolutionary model which may explain this finding. We conjecture that this power law behaviour could indeed be a general feature of higher eukaryotes.
2009-11-13
0706.2328
Ophir Flomenbom
Ophir Flomenbom, Robert J. Silbey
Unique mechanisms from finite two-state trajectories
null
E. Barkai, F. L. H. Brown, M. Orrit & H. Yang Eds. THEORY AND EVALUATION OF SINGLE-MOLECULE SIGNALS, (October, 2008)
null
null
q-bio.QM cond-mat.other q-bio.OT
null
Single molecule data made of on and off events are ubiquitous. Famous examples include enzyme turnover, probed via fluorescence, and opening and closing of ion-channel, probed via the flux of ions. The data reflects the dynamics in the underlying multi-substate on-off kinetic scheme (KS) of the process, but the determination of the underlying KS is difficult, and sometimes even impossible, due to the loss of information in the mapping of the mutli-dimensional KS onto two dimensions. A way to deal with this problem considers canonical (unique) forms. (Unique canonical form is constructed from an infinitely long trajectory, but many KSs.) Here we introduce canonical forms of reduced dimensions that can handle any KS (i.e. also KSs with symmetry and irreversible transitions). We give the mapping of KSs into reduced dimensions forms, which is based on topology of KSs, and the tools for extracting the reduced dimensions form from finite data. The canonical forms of reduced dimensions constitute a powerful tool in discriminating between KSs.
2010-08-16
0706.2353
Supratim Sengupta
Supratim Sengupta, Andrew D. Rutenberg
Modeling partitioning of Min proteins between daughter cells after septation in Escherichia coli
17 pages, including 6 figures. Typo in captions of fig.2,5 corrected. Version which appears in Physical Biology
Phys. Biol. 4 (2007) 145-153.
10.1088/1478-3975/4/3/001
null
q-bio.SC
null
Ongoing sub-cellular oscillation of Min proteins is required to block minicelling in E. coli. Experimentally, Min oscillations are seen in newly divided cells and no minicells are produced. In model Min systems many daughter cells do not oscillate following septation because of unequal partitioning of Min proteins between the daughter cells. Using the 3D model of Huang et al., we investigate the septation process in detail to determine the cause of the asymmetric partitioning of Min proteins between daughter cells. We find that this partitioning problem arises at certain phases of the MinD and MinE oscillations with respect to septal closure and it persists independently of parameter variation. At most 85% of the daughter cells exhibit Min oscillation following septation. Enhanced MinD binding at the static polar and dynamic septal regions, consistent with cardiolipin domains, does not substantially increase this fraction of oscillating daughters. We believe that this problem will be shared among all existing Min models and discuss possible biological mechanisms that may minimize partitioning errors of Min proteins following septation.
2009-11-13
0706.2380
Piotr Su{\l}kowski
Joanna I. Su{\l}kowska, Piotr Su{\l}kowski, Piotr Szymczak and Marek Cieplak
Tightening of knots in proteins
4 pages, 5 figures
Phys. Rev. Lett. 100, 058106 (2008)
10.1103/PhysRevLett.100.058106
null
q-bio.BM cond-mat.soft
null
We perform theoretical studies of stretching of 20 proteins with knots within a coarse grained model. The knot's ends are found to jump to well defined sequential locations that are associated with sharp turns whereas in homopolymers they diffuse around and eventually slide off. The waiting times of the jumps are increasingly stochastic as the temperature is raised. Larger knots do not return to their native locations when a protein is released after stretching.
2008-04-01
0706.2383
Jason Locasale W
Jason W. Locasale
Allovalency revisited: an analysis of multisite phosphorylation and substrate rebinding
44 pages, 5 figures; accepted Journal of Chemical Physics
null
10.1063/1.2841124
null
q-bio.SC q-bio.MN
null
The utilization of multiple phosphorylation sites in regulating a biological response is ubiquitous in cell signaling. If each site contributes an additional, equivalent binding site, then one consequence of an increase in the number of phosphorylations may be to increase the probability that, upon disassociation, a ligand immediately rebinds to its receptor. How such effects may influence cell signaling systems has been less studied. Here, a self-consistent integral equation formalism for ligand rebinding, in conjunction with Monte Carlo simulations, is employed to further investigate the effects of multiple, equivalent binding sites on shaping biological responses. Multiple regimes that characterize qualitatively different physics due to the differential prevalence of rebinding effects are predicted. Calculations suggest that when ligand rebinding contributes significantly to the dose response, a purely allovalent model can influence the binding curves nonlinearly. The model also predicts that ligand rebinding in itself appears insufficient to generative a highly cooperative biological response.
2009-11-13
0706.2458
Nikos Theodorakopoulos
Jalal Errami, Michel Peyrard and Nikos Theodorakopoulos
Modeling DNA beacons at the mesoscopic scale
15 pages, 17 figures, submitted to Eur. J. Phys. E
Eur. Phys. J. E 23, 397-411 (2007)
10.1140/epje/i2007-10200-x
null
cond-mat.soft cond-mat.stat-mech physics.bio-ph
null
We report model calculations on DNA single strands which describe the equilibrium dynamics and kinetics of hairpin formation and melting. Modeling is at the level of single bases. Strand rigidity is described in terms of simple polymer models; alternative calculations performed using the freely rotating chain and the discrete Kratky-Porod models are reported. Stem formation is modeled according to the Peyrard-Bishop-Dauxois Hamiltonian. The kinetics of opening and closing is described in terms of a diffusion-controlled motion in an effective free energy landscape. Melting profiles, dependence of melting temperature on loop length, and kinetic time scales are in semiquantitative agreement with experimental data obtained from fluorescent DNA beacons forming poly(T) loops. Variation in strand rigidity is not sufficient to account for the large activation enthalpy of closing and the strong loop length dependence observed in hairpins forming poly(A) loops. Implications for modeling single strands of DNA or RNA are discussed.
2007-10-01
0706.2516
Bhalchandra Thatte
Bhalchandra D. Thatte and Mike Steel
Reconstructing pedigrees: a stochastic perspective
20 pages, 3 figures
null
null
null
q-bio.PE
null
A pedigree is a directed graph that describes how individuals are related through ancestry in a sexually-reproducing population. In this paper we explore the question of whether one can reconstruct a pedigree by just observing sequence data for present day individuals. This is motivated by the increasing availability of genomic sequences, but in this paper we take a more theoretical approach and consider what models of sequence evolution might allow pedigree reconstruction (given sufficiently long sequences). Our results complement recent work that showed that pedigree reconstruction may be fundamentally impossible if one uses just the degrees of relatedness between different extant individuals. We find that for certain stochastic processes, pedigrees can be recovered up to isomorphism from sufficiently long sequences.
2007-06-19
0706.2535
Rostyslav Vlokh O
R. Vlokh, I.Vlokh, O. Moroz, Yu. Nastishin, K. Dudok, T. Dudok, N. Grinchishin, I. Nechiporenko, A. Hul
Optical Marking of Alcohol Induced Hemoglobin Modification
34 pages, 5 figures, 4 tables. submitted to the Journal of Biomedical Optics
null
null
null
physics.bio-ph physics.med-ph
null
It has been shown that conformational modifications of Hb induced by ethanol consumption can be visualized in optical spectra studying oxygenation kinetics of hemoglobin or mixing hemoglobin with Cibacron blue dye. Better dye affinity of blood proteins extracted from alcoholised rats with respect to those from non-alcoholised ones confirms that ethanol and its metabolites induce structural pathologies in blood protein molecules. The detected changes for the case of the posterity of intoxicated animals may be explained as a post-translation modification, as well as a disturbance of the structure and function of tissue cellular gene mechanism for the blood creation. It is established that alcohol intake during first four months leads to the decrease of fractional weight of oxyhemoglobin and to the increase of methemoglobin amount in blood. Further alcohol consumption is accompanied by recovering of the normal level of hemoglobin derivatives in blood. Normalization of the fractional weight of hemoglobin derivatives in blood after durable (longer than 5-6 months) ethanol intoxication is most probably due to the activation of the enzyme (acetaldehyde dehydrogenase) system, lowering the level of acetaldehydes in blood.
2007-06-19
0706.2549
Massimo Pica Ciamarra
Massimo Pica Ciamarra, Gennaro Miele, Leopoldo Milano, Mario Nicodemi, Giancarlo Raiconi
A statistical mechanics approach to reverse engineering: sparsity and biological priors on gene regulatory networks
null
null
null
null
q-bio.MN q-bio.QM
null
The important task of determining the connectivity of gene networks, and at a more detailed level even the kind of interaction existing between genes, can nowadays be tackled by microarraylike technologies. Yet, there is still a large amount of unknowns with respect to the amount of data provided by a single microarray experiment, and therefore reliable gene network retrieval procedures must integrate all of the available biological knowledge, even if coming from different sources and of different nature. In this paper we present a reverse engineering algorithm able to reveal the underlying gene network by using time-series dataset on gene expressions considering the system response to different perturbations. The approach is able to determine the sparsity of the gene network, and to take into account possible {\it a priori} biological knowledge on it. The validity of the reverse engineering approach is highlighted through the deduction of the topology of several {\it simulated} gene networks, where we also discuss how the performance of the algorithm improves enlarging the amount of data or if any a priori knowledge is considered. We also apply the algorithm to experimental data on a nine gene network in {\it Escherichia coli
2007-06-19
0706.2602
Hugues Berry
Benoit Siri (INRIA Futurs), Mathias Quoy (ETIS), Bruno Delord (ANIM), Bruno Cessac (INLN, INRIA Sophia Antipolis), Hugues Berry (INRIA Futurs)
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons
null
null
null
null
q-bio.NC
null
The aim of the present paper is to study the effects of Hebbian learning in random recurrent neural networks with biological connectivity, i.e. sparse connections and separate populations of excitatory and inhibitory neurons. We furthermore consider that the neuron dynamics may occur at a (shorter) time scale than synaptic plasticity and consider the possibility of learning rules with passive forgetting. We show that the application of such Hebbian learning leads to drastic changes in the network dynamics and structure. In particular, the learning rule contracts the norm of the weight matrix and yields a rapid decay of the dynamics complexity and entropy. In other words, the network is rewired by Hebbian learning into a new synaptic structure that emerges with learning on the basis of the correlations that progressively build up between neurons. We also observe that, within this emerging structure, the strongest synapses organize as a small-world network. The second effect of the decay of the weight matrix spectral radius consists in a rapid contraction of the spectral radius of the Jacobian matrix. This drives the system through the ``edge of chaos'' where sensitivity to the input pattern is maximal. Taken together, this scenario is remarkably predicted by theoretical arguments derived from dynamical systems and graph theory.
2007-06-19
0706.2770
Yohan Payan
Nicolas Vuillerme (TIMC - IMAG), Nicolas Pinsault (TIMC - IMAG), Matthieu Boisgontier (TIMC - IMAG), Olivier Chenu (TIMC - IMAG), Jacques Demongeot (TIMC - IMAG), Yohan Payan (TIMC - IMAG)
Inter-individual variability in sensory weighting of a plantar pressure-based, tongue-placed tactile biofeedback for controlling posture
null
Neuroscience Letters 431 (2007) 173 - 177
10.1016/j.neulet.2007.03.076
null
physics.med-ph q-bio.NC
null
The purpose of the present experiment was to investigate whether the sensory weighting of a plantar pressure-based, tongue-placed tactile biofeedback for controlling posture could be subject to inter-individual variability. To achieve this goal, 60 young healthy adults were asked to stand as immobile as possible with their eyes closed in two conditions of No-biofeedback and Biofeedback. Centre of foot pressure (CoP) displacements were recorded using a force platform. Overall, results showed reduced CoP displacements in the Biofeedback relative to the No-biofeedback condition, evidencing the ability of the central nervous system to efficiently integrate an artificial plantar-based, tongue-placed tactile biofeedback for controlling posture during quiet standing. Results further showed a significant positive correlation between the CoP displacements measured in the No-biofeedback condition and the decrease in the CoP displacements induced by the use of the biofeedback. In other words, the degree of postural stabilization appeared to depend on each subject's balance control capabilities, the biofeedback yielding a greater stabilizing effect in subjects exhibiting the largest CoP displacements when standing in the No-biofeedback condition. On the whole, by evidencing a significant inter-individual variability in sensory weighting of an additional tactile information related to foot sole pressure distribution for controlling posture, the present findings underscore the need and the necessity to address the issue of inter-individual variability in the field of neuroscience.
2007-06-20
0706.2808
Christina Goldschmidt
Anne-Laure Basdevant and Christina Goldschmidt
Asymptotics of the allele frequency spectrum associated with the Bolthausen-Sznitman coalescent
26 pages, 1 figure
null
null
null
math.PR math.CO q-bio.PE
null
We work in the context of the infinitely many alleles model. The allelic partition associated with a coalescent process started from n individuals is obtained by placing mutations along the skeleton of the coalescent tree; for each individual, we trace back to the most recent mutation affecting it and group together individuals whose most recent mutations are the same. The number of blocks of each of the different possible sizes in this partition is the allele frequency spectrum. The celebrated Ewens sampling formula gives precise probabilities for the allele frequency spectrum associated with Kingman's coalescent. This (and the degenerate star-shaped coalescent) are the only Lambda coalescents for which explicit probabilities are known, although they are known to satisfy a recursion due to Moehle. Recently, Berestycki, Berestycki and Schweinsberg have proved asymptotic results for the allele frequency spectra of the Beta(2-alpha,alpha) coalescents with alpha in (1,2). In this paper, we prove full asymptotics for the case of the Bolthausen-Sznitman coalescent.
2007-06-25
0706.2818
Alberto Imparato
A. Imparato, A. Pelizzola, M. Zamparo
Protein mechanical unfolding: a model with binary variables
null
J. Chem. Phys. 127, 145105 (2007)
10.1063/1.2776271
null
cond-mat.soft q-bio.BM
null
A simple lattice model, recently introduced as a generalization of the Wako--Sait\^o model of protein folding, is used to investigate the properties of widely studied molecules under external forces. The equilibrium properties of the model proteins, together with their energy landscape, are studied on the basis of the exact solution of the model. Afterwards, the kinetic response of the molecules to a force is considered, discussing both force clamp and dynamic loading protocols and showing that theoretical expectations are verified. The kinetic parameters characterizing the protein unfolding are evaluated by using computer simulations and agree nicely with experimental results, when these are available. Finally, the extended Jarzynski equality is exploited to investigate the possibility of reconstructing the free energy landscape of proteins with pulling experiments.
2007-10-16
0706.2867
Kaushik Majumdar
Kaushik Majumdar
Outline of a novel architecture for cortical computation
21 pages, four figures
null
10.1007/s11571-007-9034-9
null
q-bio.NC q-bio.QM
null
In this paper a novel architecture for cortical computation has been proposed. This architecture is composed of computing paths consisting of neurons and synapses only. These paths have been decomposed into lateral, longitudinal and vertical components. Cortical computation has then been decomposed into lateral computation (LaC), longitudinal computation (LoC) and vertical computation (VeC). It has been shown that various loop structures in the cortical circuit play important roles in cortical computation as well as in memory storage and retrieval, keeping in conformity with the molecular basis of short and long term memory. A new learning scheme for the brain has also been proposed and how it is implemented within the proposed architecture has been explained. A number of mathematical results about the architecture have been proposed, many of which without proof.
2007-12-12
0706.2980
Allon Klein
Allon M. Klein, David P. Doupe, Philip H. Jones, and Benjamin D. Simons
Kinetics of cell division in epidermal maintenance
null
null
10.1103/PhysRevE.76.021910
null
physics.bio-ph cond-mat.stat-mech q-bio.CB
null
The rules governing cell division and differentiation are central to understanding the mechanisms of development, aging and cancer. By utilising inducible genetic labelling, recent studies have shown that the clonal population in transgenic mouse epidermis can be tracked in vivo. Drawing on these results, we explain how clonal fate data may be used to infer the rules of cell division and differentiation underlying the maintenance of adult murine tail-skin. We show that the rates of cell division and differentiation may be evaluated by considering the long-time and short-time clone fate data, and that the data is consistent with cells dividing independently rather than synchronously. Motivated by these findings, we consider a mechanism for cancer onset based closely on the model for normal adult skin. By analysing the expected changes to clonal fate in cancer emerging from a simple two-stage mutation, we propose that clonal fate data may provide a novel method for studying the earliest stages of the disease.
2009-11-13
0706.3067
Evgeni Gabev E
E. E. Gabev (1), Evgeni B. Gabev (2), E. E. Gabev Jr. (1), M. V. Bogoeva (3) ((1) Institute of Experimental Pathology and Parasitology, Bulgarian Academy of Sciences (2) Medical University, Sofia, Bulgaria, (3) Institute of Zoology, Bulgarian Academy of Sciences, Sofia, Bulgaria)
Fitting analysis provides further evidence for eradication of hiv/aids infection under combined liposome drug delivery treatment
3 pages, 1 figure. Available at: http://www.geocities.com/hivaidsbg/
Drug Delivery Systems and Sciences (UK). 2003, volume 3, No 2, pp. 49-51
null
null
q-bio.TO
null
It is now evident that the commonly accepted strategy for treatment of HIV/AIDS by highly active antiretroviral therapy (HAART) will not lead to eradication of HIV in a reasonable time. This is straightforward from the typical exponential viral load decay upon treatment revealing initial considerable but incomplete reduction of plasma HIV RNA with subsequent low level HIV persistence even in patients on effective antiretroviral therapy. Here we show that the viral load follows a simple zero trend linear regression line under different treatment approach recently proposed by us. This unambiguously indicates a whole body HIV eradication in reasonable time.
2007-06-22
0706.3090
Sergei Mukhin I
I.N. Krivonos and S.I. Mukhin
Flexible-to-semiflexible chain crossover on the pressure-area isotherm of lipid bilayer
31 pages; 7 figures; submitted to JETP
null
10.1007/s11447-008-1011-6
null
q-bio.QM q-bio.BM
null
We found theoretically that competition between ~Kq^4 and ~Qq^2 terms in the Fourier transformed conformational energy of a single lipid chain, in combination with inter-chain entropic repulsion in the hydrophobic part of the lipid (bi)layer, may cause a crossover on the bilayer pressure-area isotherm P(A)~(A-A_0)^{-n}. The crossover manifests itself in the transition from n=5/3 to n=3. Our microscopic model represents a single lipid molecule as a worm-like chain with finite irreducible cross-section area A_0, flexural rigidity K and stretching modulus Q in a parabolic potential with self-consistent curvature B(A) formed by entropic interactions between hydrocarbon chains in the lipid layer. The crossover area per lipid A* obeys relation Q^2/(KB(A*))~1 . We predict a peculiar possibility to deduce effective elastic moduli K and Q of the individual hydrocarbon chain from the analysis of the isotherm possessing such crossover. Also calculated is crossover-related behavior of the area compressibility modulus K_a, equilibrium area per lipid A_t, and chain order parameter S.
2009-11-13
0706.3101
Dietrich Stauffer
D. Stauffer
The Penna Model of Biological Aging
16-page invited review submitted to Bioinformatics and Biology Insights
null
null
null
q-bio.PE
null
This review deals with computer simulation of biological ageing, particularly with the Penna model of 1995.
2007-06-22
0706.3137
Emma Jin
Emma Y. Jin and Christian M. Reidys
Asymptotic Enumeration of RNA Structures with Pseudoknots
22 pages, 7 figures
null
null
null
q-bio.BM math.CO
null
In this paper we present the asymptotic enumeration of RNA structures with pseudoknots. We develop a general framework for the computation of exponential growth rate and the sub exponential factors for $k$-noncrossing RNA structures. Our results are based on the generating function for the number of $k$-noncrossing RNA pseudoknot structures, ${\sf S}_k(n)$, derived in \cite{Reidys:07pseu}, where $k-1$ denotes the maximal size of sets of mutually intersecting bonds. We prove a functional equation for the generating function $\sum_{n\ge 0}{\sf S}_k(n)z^n$ and obtain for $k=2$ and $k=3$ the analytic continuation and singular expansions, respectively. It is implicit in our results that for arbitrary $k$ singular expansions exist and via transfer theorems of analytic combinatorics we obtain asymptotic expression for the coefficients. We explicitly derive the asymptotic expressions for 2- and 3-noncrossing RNA structures. Our main result is the derivation of the formula ${\sf S}_3(n) \sim \frac{10.4724\cdot 4!}{n(n-1)...(n-4)} (\frac{5+\sqrt{21}}{2})^n$.
2009-09-29
0706.3177
Laurent Perrinet
Laurent Perrinet (INT, INCM)
Role of homeostasis in learning sparse representations
null
Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2010, 22 (7), pp.1812-36
10.1162/neco.2010.05-08-795
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that neural activity has to efficiently represent sensory data with respect to the statistics of natural scenes. Furthermore, it is believed that such an efficient coding is achieved using a competition across neurons so as to generate a sparse representation, that is, where a relatively small number of neurons are simultaneously active. Indeed, different models of sparse coding, coupled with Hebbian learning and homeostasis, have been proposed that successfully match the observed emergent response. However, the specific role of homeostasis in learning such sparse representations is still largely unknown. By quantitatively assessing the efficiency of the neural representation during learning, we derive a cooperative homeostasis mechanism that optimally tunes the competition between neurons within the sparse coding algorithm. We apply this homeostasis while learning small patches taken from natural images and compare its efficiency with state-of-the-art algorithms. Results show that while different sparse coding algorithms give similar coding results, the homeostasis provides an optimal balance for the representation of natural images within the population of neurons. Competition in sparse coding is optimized when it is fair. By contributing to optimizing statistical competition across neurons, homeostasis is crucial in providing a more efficient solution to the emergence of independent components.
2016-12-09
0706.3195
George Bass Ph.D.
George E. Bass
Genetic Transferability of Anomalous Irradiation Alterations of Antibiotic Activity
17 pages, 3 figures
null
null
null
q-bio.BM
null
It previously has been discovered that visible light irradiation of crystalline substrates can lead to enhancement of subsequent enzymatic reaction rates as sharply peaked oscillatory functions of irradiation time. The particular activating irradiation times can vary with source of a given enzyme and thus, presumably, its molecular structure. The experiments reported here demonstrate that the potential for this anomalous enzyme reaction rate enhancement can be transferred from one bacterial species to another coincident with transfer of the genetic determinant for the relevant enzyme. In particular, the effect of crystal-irradiated chloramphenicol on growth of bacterial strains in which a transferable R-factor DNA plasmid coding for chloramphenicol resistance was or was not present (S. panama R+, E. coli R+, and E. coli R-) was determined. Chloramphenicol samples irradiated 10, 35 and 60 sec produced increased growth rates (diminished inhibition) for the resistant S. panama and E. coli strains, while having no such effect on growth rate of the sensitive E. coli strain. Consistent with past findings, chloramphenicol samples irradiated 5, 30 and 55 sec produced decreased growth rates (increased inhibition) for all three strains.
2007-06-22
0706.3211
Ophir Flomenbom
O. Flomenbom and R. J. Silbey
Path probability density functions for semi-Markovian random walks
null
Phys. Rev. E 76, 041101 (2007)
10.1103/PhysRevE.76.041101
null
math-ph math.MP physics.bio-ph q-bio.OT
null
In random walks, the path representation of the Green's function is an infinite sum over the length of path probability density functions (PDFs). Here we derive and solve, in Laplace space, the recursion relation for the n order path PDF for any arbitrarily inhomogeneous semi-Markovian random walk in a one-dimensional (1D) chain of L states. The recursion relation relates the n order path PDF to L/2 (round towards zero for an odd L) shorter path PDFs, and has n independent coefficients that obey a universal formula. The z transform of the recursion relation straightforwardly gives the generating function for path PDFs, from which we obtain the Green's function of the random walk, and derive an explicit expression for any path PDF of the random walk. These expressions give the most detailed description of arbitrarily inhomogeneous semi-Markovian random walks in 1D.
2019-08-19
0706.3234
Edgar Delgado-Eckert MS
Edgar Delgado-Eckert
Reverse engineering time discrete finite dynamical systems: A feasible undertaking?
Submitted to journal, currently under review
PLoS ONE, 4(3), 2009
10.1371/journal.pone.0004939.
null
q-bio.QM math.DS q-bio.MN
null
With the advent of high-throughput profiling methods, interest in reverse engineering the structure and dynamics of biochemical networks is high. Recently an algorithm for reverse engineering of biochemical networks was developed by Laubenbacher and Stigler. It is a top-down approach using time discrete dynamical systems. One of its key steps includes the choice of a term order. The aim of this paper is to identify minimal requirements on data sets to be used with this algorithm and to characterize optimal data sets. We found minimal requirements on a data set based on how many terms the functions to be reverse engineered display. Furthermore, we identified optimal data sets, which we characterized using a geometric property called "general position". Moreover, we developed a constructive method to generate optimal data sets, provided a codimensional condition is fulfilled. In addition, we present a generalization of their algorithm that does not depend on the choice of a term order. For this method we derived a formula for the probability of finding the correct model, provided the data set used is optimal. We analyzed the asymptotic behavior of the probability formula for a growing number of variables n (i.e. interacting chemicals). Unfortunately, this formula converges to zero as fast as r^(q^n), where q is a natural number and 0<r<1. Therefore, even if an optimal data set is used and the restrictions in using term orders are overcome, the reverse engineering problem remains unfeasible, unless prodigious amounts of data are available. Such large data sets are experimentally impossible to generate with today's technologies.
2010-01-18
0706.3427
Dmitri Starodub
D. Starodub (1), P. Rez (1), G. Hembree (1), M. Howells (2), D. Shapiro (2), H. N. Chapman (3), P. Fromme (1), K. Schmidt (1), U. Weierstall (1), R. B. Doak (1) and J. C. H. Spence (1) ((1) Arizona State University, (2) Lawrence Berkeley National Laboratory, (3) Lawrence Livermore National Laboratory)
Dose, exposure time, and resolution in Serial X-ray Crystallography
19 pages, 7 figures, 1 table
null
null
null
physics.optics physics.bio-ph
null
The resolution of X-ray diffraction microscopy is limited by the maximum dose that can be delivered prior to sample damage. In the proposed Serial Crystallography method, the damage problem is addressed by distributing the total dose over many identical hydrated macromolecules running continuously in a single-file train across a continuous X-ray beam, and resolution is then limited only by the available molecular and X-ray fluxes and molecular alignment. Orientation of the diffracting molecules is achieved by laser alignment. We evaluate the incident X-ray fluence (energy/area) required to obtain a given resolution from (1) an analytical model, giving the count rate at the maximum scattering angle for a model protein, (2) explicit simulation of diffraction patterns for a GroEL-GroES protein complex, and (3) the frequency cut off of the transfer function following iterative solution of the phase problem, and reconstruction of an electron density map in the projection approximation. These calculations include counting shot noise and multiple starts of the phasing algorithm. The results indicate counting time and the number of proteins needed within the beam at any instant for a given resolution and X-ray flux. We confirm an inverse fourth power dependence of exposure time on resolution, with important implications for all coherent X-ray imaging. We find that multiple single-file protein beams will be needed for sub-nanometer resolution on current third generation synchrotrons, but not on fourth generation designs, where reconstruction of secondary protein structure at a resolution of 0.7 nm should be possible with short exposures.
2007-06-26
0706.3477
Robbe Wunschiers
Robbe Wunschiers and Martin Vellguth
OrfMapper: A Web-Based Application for Visualizing Gene Clusters on Metabolic Pathway Maps
5 pages, 1 figure
null
null
null
q-bio.GN
null
Computational analyses of, e.g., genomic, proteomic, or metabolomic data, commonly result in one or more sets of candidate genes, proteins, or enzymes. These sets are often the outcome of clustering algorithms. Subsequently, it has to be tested if, e.g., the candidate gene-products are members of known metabolic processes. With OrfMapper we provide a powerful but easy-to-use, web-based database application, that supports such analyses. All services provided by OrfMapper are freely available at http://www.orfmapper.com
2007-06-26
0706.3533
Sunghwan Jung
Sunghwan Jung, Kathleen Mareck, Lisa Fauci, and Michael J. Shelley
Rotational dynamics of a superhelix towed in a Stokes fluid
null
null
10.1063/1.2800287
null
physics.flu-dyn physics.bio-ph
null
Motivated by the intriguing motility of spirochetes (helically-shaped bacteria that screw through viscous fluids due to the action of internal periplasmic flagella), we examine the fundamental fluid dynamics of superhelices translating and rotating in a Stokes fluid. A superhelical structure may be thought of as a helix whose axial centerline is not straight, but also a helix. We examine the particular case where these two superimposed helices have different handedness, and employ a combination of experimental, analytic, and computational methods to determine the rotational velocity of superhelical bodies being towed through a very viscous fluid. We find that the direction and rate of the rotation of the body is a result of competition between the two superimposed helices; for small axial helix amplitude, the body dynamics is controlled by the short-pitched helix, while there is a cross-over at larger amplitude to control by the axial helix. We find far better, and excellent, agreement of our experimental results with numerical computations based upon the method of Regularized Stokeslets than upon the predictions of classical resistive force theory.
2009-11-13
0706.3589
Janos Locsei
J. T. Locsei
Persistence of direction increases the drift velocity of run and tumble chemotaxis
17 pages, 5 figures
J. Math. Biol. 55, 2007, 41-60
10.1007/s00285-007-0080-z
null
q-bio.QM
null
Escherichia coli is a motile bacterium that moves up a chemoattractant gradient by performing a biased random walk composed of alternating runs and tumbles. Previous models of run and tumble chemotaxis neglect one or more features of the motion, namely (i) a cell cannot directly detect a chemoattractant gradient but rather makes temporal comparisons of chemoattractant concentration, (ii) rather than being entirely random, tumbles exhibit persistence of direction, meaning that the new direction after a tumble is more likely to be in the forward hemisphere, and (iii) rotational Brownian motion makes it impossible for an E. coli cell to swim in a straight line during a run. This paper presents an analytic calculation of the chemotactic drift velocity taking account of (i), (ii) and (iii), for weak chemotaxis. The analytic results are verified by Monte Carlo simulation. The results reveal a synergy between temporal comparisons and persistence that enhances the drift velocity, while rotational Brownian motion reduces the drift velocity.
2007-06-26
0706.3603
Pierre-Henri Chavanis
Pierre-Henri Chavanis
Critical mass of bacterial populations and critical temperature of self-gravitating Brownian particles in two dimensions
In press
Physica A, 384, 392 (2007)
10.1016/j.physa.2007.03.056
null
physics.bio-ph q-bio.CB
null
We show that the critical mass M_c=8\pi of bacterial populations in two dimensions in the chemotactic problem is the counterpart of the critical temperature T_c=GMm/4k_B of self-gravitating Brownian particles in two-dimensional gravity. We obtain these critical values by using the Virial theorem or by considering stationary solutions of the Keller-Segel model and Smoluchowski-Poisson system. We also consider the case of one dimensional systems and develop the connection with the Burgers equation. Finally, we discuss the evolution of the system as a function of M or T in bounded and unbounded domains in dimensions d=1, 2 and 3 and show the specificities of each dimension. This paper aims to point out the numerous analogies between bacterial populations, self-gravitating Brownian particles and, occasionally, two-dimensional vortices.
2009-11-13
0706.3647
Vittoria Colizza
Vittoria Colizza, Alessandro Vespignani
Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations
18 pages, 8 figures, minor corrections, inclusion of subleading terms
Journal of Theoretical Biology 251, 450-467 (2008)
null
null
q-bio.PE physics.soc-ph
null
The spatial structure of populations is a key element in the understanding of the large scale spreading of epidemics. Motivated by the recent empirical evidence on the heterogeneous properties of transportation and commuting patterns among urban areas, we present a thorough analysis of the behavior of infectious diseases in metapopulation models characterized by heterogeneous connectivity and mobility patterns. We derive the basic reaction-diffusion equation describing the metapopulation system at the mechanistic level and derive an early stage dynamics approximation for the subpopulation invasion dynamics. The analytical description uses degree block variables that allows us to take into account arbitrary degree distribution of the metapopulation network. We show that along with the usual single population epidemic threshold the metapopulation network exhibits a global threshold for the subpopulation invasion. We find an explicit analytic expression for the invasion threshold that determines the minimum number of individuals traveling among subpopulations in order to have the infection of a macroscopic number of subpopulations. The invasion threshold is a function of factors such as the basic reproductive number, the infectious period and the mobility process and it is found to decrease for increasing network heterogeneity. We provide extensive mechanistic numerical Monte Carlo simulations that recover the analytical finding in a wide range of metapopulation network connectivity patterns. The results can be useful in the understanding of recent data driven computational approaches to disease spreading in large transportation networks and the effect of containment measures such as travel restrictions.
2008-03-19
0706.3652
Eric Lauga
Eric Lauga
Continuous breakdown of Purcell's scallop theorem with inertia
6 pages, 1 figure
Phys. Fluids 19, 061703, 2007
10.1063/1.2738609
null
cond-mat.soft physics.bio-ph physics.flu-dyn
null
Purcell's scallop theorem defines the type of motions of a solid body - reciprocal motions - which cannot propel the body in a viscous fluid with zero Reynolds number. For example, the flapping of a wing is reciprocal and, as was recently shown, can lead to directed motion only if its frequency Reynolds number, Re_f, is above a critical value of order one. Using elementary examples, we show the existence of oscillatory reciprocal motions which are effective for all arbitrarily small values of the frequency Reynolds number and induce net velocities scaling as (Re_f)^\alpha (alpha > 0). This demonstrates a continuous breakdown of the scallop theorem with inertia.
2008-10-02
0706.3676
Marcin Molski
Marcin Molski and Jerzy Konarski
On the Gompertzian dynamics of growth and self-organization
null
null
null
null
q-bio.OT q-bio.QM
null
Comment on the Waliszewski's article "A principle of fractal-sto-chastic dualism and Gompertzian dynamics of growth and self-organization" (BioSystems 82 (2005)61-73) is presented. It has been proved that the main idea of this work that Gompertzian dynamics is governed by the Schr\"{o}dinger-like equation including anharmonic Morse potential has been already introduced by Molski and Konarski in 2003. Some inconsistencies and mathematical errors in the Waliszewski's model are also pointed out.
2007-06-26
0706.3678
Ioan Kosztin
Cyrille Norotte, Francoise Marga, Adrian Neagu, Ioan Kosztin and Gabor Forgacs (University of Missouri - Columbia)
Experimental confirmation of tissue liquidity based on the exact solution of the Laplace equation
4 pages, 3 figures, submitted to Phys. Rev. Lett
null
10.1209/0295-5075/81/46003
null
physics.bio-ph physics.flu-dyn q-bio.TO
null
The notion of tissue surface tension has provided a physical understanding of morphogenetic phenomena such as tissue spreading or cell sorting. The measurement of tissue surface tension so far relied on strong approximations on the geometric profile of a spherical droplet compressed between parallel plates. We solved the Laplace equation for this geometry and tested its solution on true liquids and embryonic tissue fragments as well as multicellular aggregates. The analytic solution provides the surface tension in terms of easily and accurately measurable geometric parameters. Experimental results show that the various tissues and multicellular aggregates studied here are incompressible and, similarly to true liquids, possess effective surface tensions that are independent of the magnitude of the compressive force and the volume of the droplet.
2009-11-13
0706.3681
Marcin Molski
Marcin Molski
On the Classification Scheme for Phenomenological Universalities in Growth Problems in Physics and Other Sciences
null
null
null
null
q-bio.OT q-bio.QM
null
Comment on "Classification Scheme for Phenomenological Universalities in Growth Problems in Physics and Other Sciences" by P. Castorina, P. P. Delsanto and C. Guiot, Phys. Rev. Lett. {\bf 96}, 188701 (2006) is presented. It has been proved that the West-like function of growth derived by the authors is incorrect and the approach does not take into account the growth of the biological systems undergoing atrophy or demographic and economic systems undergoing involution or regression. A simple extension of the model, which permits derivation of the so far unknown involuted Gompertz function of growth is proposed.
2007-06-26
0706.3684
Pete Donnell
Pete Donnell, Murad Banaji and Stephen Baigent
Stability in generic mitochondrial models
22 pages, 1 figure. Submitted to Mathematical Biosciences
null
null
null
q-bio.QM q-bio.SC
null
In this paper, we use a variety of mathematical techniques to explore existence, local stability, and global stability of equilibria in abstract models of mitochondrial metabolism. The class of models constructed is defined by the biological description of the system, with minimal mathematical assumptions. The key features are an electron transport chain coupled to a process of charge translocation across a membrane. In the absence of charge translocation these models have previously been shown to behave in a very simple manner with a single, globally stable equilibrium. We show that with charge translocation the conclusion about a unique equilibrium remains true, but local and global stability do not necessarily follow. In sufficiently low dimensions - i.e. for short electron transport chains - it is possible to make claims about local and global stability of the equilibrium. On the other hand, for longer chains, these general claims are no longer valid. Some particular conditions which ensure stability of the equilibrium for chains of arbitrary length are presented.
2007-06-26
0706.3693
Ioan Kosztin
Elijah Flenner, Francoise Marga, Adrian Neagu, Ioan Kosztin and Gabor Forgacs (University of Missouri - Columbia)
Relating Biophysical Properties Across Scales
24 pages, 10 figures, To appear in Current Topics in Developmental Biology
null
null
null
physics.bio-ph physics.comp-ph q-bio.CB q-bio.TO
null
A distinguishing feature of a multicellular living system is that it operates at various scales, from the intracellular to organismal. Very little is known at present on how tissue level properties are related to cell and subcellular properties. Modern measurement techniques provide quantitative results at both the intracellular and tissue level, but not on the connection between these. In the present work we outline a framework to address this connection. We specifically concentrate on the morphogenetic process of tissue fusion, by following the coalescence of two contiguous multicellular aggregates. The time evolution of this process can accurately be described by the theory of viscous liquids. We also study fusion by Monte Carlo simulations and a novel Cellular Particle Dynamics (CPD) model, which is similar to the earlier introduced Subcellular Element Model (Newman, 2005). Using the combination of experiments, theory and modeling we are able to relate the measured tissue level biophysical quantities to subcellular parameters. Our approach has validity beyond the particular morphogenetic process considered here and provides a general way to relate biophysical properties across scales.
2007-06-26
0706.3735
Jeremy Gunawardena
Matthew Thomson and Jeremy Gunawardena
Multi-bit information storage by multisite phosphorylation
29 pages, 6 figures
null
null
null
q-bio.MN
null
Cells store information in DNA and in stable programs of gene expression, which thereby implement forms of long-term cellular memory. Cells must also possess short-term forms of information storage, implemented post-translationally, to transduce and interpret external signals. CaMKII, for instance, is thought to implement a one-bit (bistable) short-term memory required for learning at post-synaptic densities. Here we show by mathematical analysis that multisite protein phosphorylation, which is ubiquitous in all eukaryotic signalling pathways, exhibits multistability for which the maximal number of steady states increases with the number of sites. If there are n sites, the maximal information storage capacity is at least log_2 (n+2)/2 bits when n is even and log_2 (n+1)/2 bits when n is odd. Furthermore, when substrate is in excess, enzyme saturation together with an alternating low/high pattern in the site-specific relative catalytic efficiencies, enriches for multistability. That is, within physiologically plausible ranges for parameters, multistability becomes more likely than monostability. We discuss the experimental challenges in pursuing these predictions and in determining the biological role of short-term information storage.
2007-06-27
0706.3743
Kilho Eom
Kilho Eom, Tae Yun Kwon, Dae Sung Yoon, Hong Lim Lee, Tae Song Kim
Dynamical Response of Nanomechanical Resonators to Biomolecular Interactions
17 page, 4 figures, accepted for publication at PRB. Physical Review B, accepted
null
10.1103/PhysRevB.76.113408
null
cond-mat.soft q-bio.QM
null
We studied the dynamical response of a nanomechanical resonator to biomolecular (e.g. DNA) adsorptions on a resonator's surface by using a theoretical model, which considers the Hamiltonian H such that the potential energy consists of elastic bending energy of a resonator and the potential energy for biomolecular interactions. It was shown that the resonant frequency shift of a resonator due to biomolecular adsorption depends on not only the mass of adsorbed biomolecules but also the biomolecular interactions. Specifically, for dsDNA adsorption on a resonator's surface, the resonant frequency shift is also dependent on the ionic strength of a solvent, implying the role of molecular interactions on the dynamic behavior of a resonator. This indicates that nanomechanical resonators may enable one to quantify the biomolecular mass, implying the enumeration of biomolecules, as well as gain insight into intermolecular interactions between adsorbed biomolecules on the surface.
2009-11-13
0706.3758
Rajarshi Chakrabarti
Rajarshi Chakrabarti, Ananya Debnath and K. L. Sebastian
Diffusion of Macromolecules across the Nuclear Pore Complex
null
null
10.1016/j.physa.2014.02.059
null
cond-mat.soft cond-mat.stat-mech physics.bio-ph q-bio.CB
null
Nuclear pore complexes (NPCs) are very selective filters that monitor the transport between the cytoplasm and the nucleoplasm. Two models have been suggested for the plug of the NPC. They are (i) it is a reversible hydrogel or (ii) it is a polymer brush. We propose a mesoscopic model for the transport of a protein through the plug, that is general enough to cover both. The protein stretches the plug and creates a local deformation. The bubble so created (prtoein+deformation) executes random walk in the plug. We find that for faster relaxation of the gel, the diffusion of the bubble is greater. Further, on using parameters appropriate for the brush, we find that the diffusion coefficient is much lower. Hence the gel model seems to be more likely explanation for the workings of the plug.
2014-06-25
0706.3878
Michael E. Wall
Dengming Ming (1), Marian Anghel (1), Michael E. Wall (1) ((1) Los Alamos National Laboratory)
Hidden Structure in Protein Energy Landscapes
11 pages, 4 figures; corrected citation of Ref. 10
null
10.1103/PhysRevE.77.021902
LA-UR-07-1934
q-bio.BM
null
Inherent structure theory is used to discover strong connections between simple characteristics of protein structure and the energy landscape of a Go model. The potential energies and vibrational free energies of inherent structures are highly correlated, and both reflect simple measures of networks of native contacts. These connections have important consequences for models of protein dynamics and thermodynamics.
2009-11-13
0706.3883
Pablo Fern\'andez
Pablo Fern\'andez and Albrecht Ott
Single cell mechanics: stress stiffening and kinematic hardening
4 pages, 6 figures
null
10.1103/PhysRevLett.100.238102
null
physics.bio-ph
null
Cell mechanical properties are fundamental to the organism but remain poorly understood. We report a comprehensive phenomenological framework for the nonlinear rheology of single fibroblast cells: a superposition of elastic stiffening and viscoplastic kinematic hardening. Our results show, that in spite of cell complexity its mechanical properties can be cast into simple, well-defined rules, which provide mechanical cell strength and robustness via control of crosslink slippage.
2009-11-13
0706.3969
Debabrata Panja
Debabrata Panja and Gerard T. Barkema
Passage Times for Polymer Translocation Pulled through a Narrow Pore
7 pages, 4 figures, 6 eps figure files, minor expressions changed, references updated; to appear in Biophys. J
Biophys. J. 94, 1630-1637 (2008)
10.1529/biophysj.107.116434
null
cond-mat.soft cond-mat.stat-mech physics.bio-ph q-bio.BM
null
We study the passage times of a translocating polymer of length $N$ in three dimensions, while it is pulled through a narrow pore with a constant force $F$ applied to one end of the polymer. At small to moderate forces, satisfying the condition $FN^{\nu}/k_BT\lesssim1$, where $\nu\approx0.588$ is the Flory exponent for the polymer, we find that $\tau_N$, the mean time the polymer takes to leave the pore, scales as $N^{2+\nu}$ independent of $F$, in agreement with our earlier result for F=0. At strong forces, i.e., for $FN^{\nu}/k_BT\gg1$, the behaviour of the passage time crosses over to $\tau_N\sim N^2/F$. We show here that these behaviours stem from the polymer dynamics at the immediate vicinity of the pore -- in particular, the memory effects in the polymer chain tension imbalance across the pore.
2008-02-14
0706.3974
Pierre-Henri Chavanis
Pierre-Henri Chavanis and Clement Sire
Kinetic and hydrodynamic models of chemotactic aggregation
In press
Physica A, 384, 199 (2007)
10.1016/j.physa.2007.05.069
null
physics.bio-ph
null
We derive general kinetic and hydrodynamic models of chemotactic aggregation that describe certain features of the morphogenesis of biological colonies (like bacteria, amoebae, endothelial cells or social insects). Starting from a stochastic model defined in terms of N coupled Langevin equations, we derive a nonlinear mean field Fokker-Planck equation governing the evolution of the distribution function of the system in phase space. By taking the successive moments of this kinetic equation and using a local thermodynamic equilibrium condition, we derive a set of hydrodynamic equations involving a damping term. In the limit of small frictions, we obtain a hyperbolic model describing the formation of network patterns (filaments) and in the limit of strong frictions we obtain a parabolic model which is a generalization of the standard Keller-Segel model describing the formation of clusters (clumps). Our approach connects and generalizes several models introduced in the chemotactic literature. We discuss the analogy between bacterial colonies and self-gravitating systems and between the chemotactic collapse and the gravitational collapse (Jeans instability). We also show that the basic equations of chemotaxis are similar to nonlinear mean field Fokker-Planck equations so that a notion of effective generalized thermodynamics can be developed.
2009-11-13
0706.4219
Brigitte Gaillard
Audrey Bergouignan (DEPE-IPHC), Dale A Schoeller, Sylvie Normand, Guillemette Gauquelin-Koch, Martine Laville, Timothy Shriver, Michel Desage, Yvon Le Maho (DEPE-IPHC), Hiroshi Ohshima, Claude Gharib, St\'ephane Blanc (DEPE-IPHC)
Effect of physical inactivity on the oxidation of saturated and monounsaturated dietary Fatty acids: results of a randomized trial
null
PLoS Clin Trials 1, 5 (2006) e27
10.1371/journal.pctr.0010027
null
q-bio.PE
null
OBJECTIVES: Changes in the way dietary fat is metabolized can be considered causative in obesity. The role of sedentary behavior in this defect has not been determined. We hypothesized that physical inactivity partitions dietary fats toward storage and that a resistance exercise training program mitigates storage.
2007-06-29
0706.4249
Stefan Thurner
Rudolf Hanel and Stefan Thurner
Solution of the Unanimity Rule on exponential, uniform and scalefree networks: A simple model for biodiversity collapse in foodwebs
4 pages, 3 figs
null
10.1140/epjb/e2008-00160-7
null
physics.bio-ph q-bio.PE
null
We solve the Unanimity Rule on networks with exponential, uniform and scalefree degree distributions. In particular we arrive at equations relating the asymptotic number of nodes in one of two states to the initial fraction of nodes in this state. The solutions for exponential and uniform networks are exact, the approximation for the scalefree case is in perfect agreement with simulation results. We use these solutions to provide a theoretical understanding for experimental data on biodiversity loss in foodwebs, which is available for the three network types discussed. The model allows in principle to estimate the critical value of species that have to be removed from the system to induce its complete collapse.
2009-11-13
0706.4291
Michael Widom
M. Widom, J. Lidmar and D. R. Nelson
Soft modes near the buckling transition of icosahedral shells
28 pages, 6 figures
null
10.1103/PhysRevE.76.031911
null
physics.bio-ph
null
Icosahedral shells undergo a buckling transition as the ratio of Young's modulus to bending stiffness increases. Strong bending stiffness favors smooth, nearly spherical shapes, while weak bending stiffness leads to a sharply faceted icosahedral shape. Based on the phonon spectrum of a simplified mass-and-spring model of the shell, we interpret the transition from smooth to faceted as a soft-mode transition. In contrast to the case of a disclinated planar network where the transition is sharply defined, the mean curvature of the sphere smooths the transitition. We define elastic susceptibilities as the response to forces applied at vertices, edges and faces of an icosahedron. At the soft-mode transition the vertex susceptibility is the largest, but as the shell becomes more faceted the edge and face susceptibilities greatly exceed the vertex susceptibility. Limiting behaviors of the susceptibilities are analyzed and related to the ridge-scaling behavior of elastic sheets. Our results apply to virus capsids, liposomes with crystalline order and other shell-like structures with icosahedral symmetry.
2009-11-13
0706.4396
Thierry Rabilloud
Mireille Chevallet (BBSI), Sylvie Luche, Thierry Rabilloud (BBSI)
Silver staining of proteins in polyacrylamide gels
null
Nat Protoc 1, 4 (2006) 1852-8
10.1038/nprot.2006.288
null
q-bio.GN
null
Silver staining is used to detect proteins after electrophoretic separation on polyacrylamide gels. It combines excellent sensitivity (in the low nanogram range) with the use of very simple and cheap equipment and chemicals. It is compatible with downstream processing, such as mass spectrometry analysis after protein digestion. The sequential phases of silver staining are protein fixation, then sensitization, then silver impregnation and finally image development. Several variants of silver staining are described here, which can be completed in a time range from 2 h to 1 d after the end of the electrophoretic separation. Once completed, the stain is stable for several weeks.
2007-07-02
0707.0026
Maria A. Avi\~no-Diaz
Maria A. Avino-Diaz
Introducing a Probabilistic Structure on Sequential Dynamical Systems, Simulation and Reduction of Probabilistic Sequential Networks
14 pages
null
null
null
q-bio.GN math.PR q-bio.MN
null
A probabilistic structure on sequential dynamical systems is introduced here, the new model will be called Probabilistic Sequential Network, PSN. The morphisms of Probabilistic Sequential Networks are defined using two algebraic conditions. It is proved here that two homomorphic Probabilistic Sequential Networks have the same equilibrium or steady state probabilities if the morphism is either an epimorphism or a monomorphism. Additionally, the proof of the set of PSN with its morphisms form the category PSN, having the category of sequential dynamical systems SDS, as a full subcategory is given. Several examples of morphisms, subsystems and simulations are given.
2008-04-30
0707.0114
Nicholas Eriksson
Nicholas Eriksson, Lior Pachter, Yumi Mitsuya, Soo-Yon Rhee, Chunlin Wang, Baback Gharizadeh, Mostafa Ronaghi, Robert W. Shafer, Niko Beerenwinkel
Viral population estimation using pyrosequencing
23 pages, 13 figures
null
10.1371/journal.pcbi.1000074
null
q-bio.PE
null
The diversity of virus populations within single infected hosts presents a major difficulty for the natural immune response as well as for vaccine design and antiviral drug therapy. Recently developed pyrophosphate based sequencing technologies (pyrosequencing) can be used for quantifying this diversity by ultra-deep sequencing of virus samples. We present computational methods for the analysis of such sequence data and apply these techniques to pyrosequencing data obtained from HIV populations within patients harboring drug resistant virus strains. Our main result is the estimation of the population structure of the sample from the pyrosequencing reads. This inference is based on a statistical approach to error correction, followed by a combinatorial algorithm for constructing a minimal set of haplotypes that explain the data. Using this set of explaining haplotypes, we apply a statistical model to infer the frequencies of the haplotypes in the population via an EM algorithm. We demonstrate that pyrosequencing reads allow for effective population reconstruction by extensive simulations and by comparison to 165 sequences obtained directly from clonal sequencing of four independent, diverse HIV populations. Thus, pyrosequencing can be used for cost-effective estimation of the structure of virus populations, promising new insights into viral evolutionary dynamics and disease control strategies.
2015-05-13
0707.0245
Bard Ermentrout
G. Bard Ermentrout, Roberto F. Gal\'an Nathaniel N. Urban
Relating Neural Dynamics to Neural Coding
10 pages, 3 figures
null
null
null
q-bio.NC
null
We demonstrate that two key theoretical objects used widely in Computational Neuroscience, the phase-resetting curve (PRC) from dynamics and the spike triggered average (STA) from statistical analysis, are closely related under a wide range of stimulus conditions. We prove that the STA is proportional to the derivative of the PRC. We compare these analytic results to numerical calculations for the Hodgkin-Huxley neuron and we apply the method to neurons in the olfactory bulb of mice. This observation allows us to relate the stimulus-response properties of a neuron to its dynamics, bridging the gap between dynamical and information theoretic approaches to understanding brain computations and facilitating the interpretation of changes in channels and other cellular properties as influencing the representation of stimuli.
2007-09-26
0707.0309
Vladimir R. V. de Assis
Vladimir R. V. Assis and Mauro Copelli
Dynamic range of hypercubic stochastic excitable media
7 pages, 4 figures
Phys. Rev. E 77, 011923 (2008)
10.1103/PhysRevE.77.011923
null
q-bio.NC cond-mat.dis-nn cond-mat.stat-mech nlin.CG physics.bio-ph
null
We study the response properties of d-dimensional hypercubic excitable networks to a stochastic stimulus. Each site, modelled either by a three-state stochastic susceptible-infected-recovered-susceptible system or by the probabilistic Greenberg-Hastings cellular automaton, is continuously and independently stimulated by an external Poisson rate h. The response function (mean density of active sites rho versus h) is obtained via simulations (for d=1, 2, 3, 4) and mean field approximations at the single-site and pair levels (for all d). In any dimension, the dynamic range of the response function is maximized precisely at the nonequilibrium phase transition to self-sustained activity, in agreement with a reasoning recently proposed. Moreover, the maximum dynamic range attained at a given dimension d is a decreasing function of d.
2008-02-13
0707.0329
Mareike Fischer
Mareike Fischer, Mike Steel
Expected Anomalies in the Fossil Record
null
Fischer, M. and Steel, M. (2008). Expected anomalies in the fossil record. Evolutionary bioinformatics online 4: 61--67
null
null
q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of intermediates in the fossil record has been frequently discussed ever since Darwin. The extent of `gaps' (missing transitional stages) has been used to argue against gradual evolution from a common ancestor. Traditionally, gaps have often been explained by the improbability of fossilization and the discontinuous selection of found fossils. Here we take an analytical approach and demonstrate why, under certain sampling conditions, we may not expect intermediates to be found. Using a simple null model, we show mathematically that the question of whether a taxon sampled from some time in the past is likely to be morphologically intermediate to other samples (dated earlier and later) depends on the shape and dimensions of the underlying phylogenetic tree that connects the taxa, and the times from which the fossils are sampled.
2008-08-27
0707.0394
Davide Cora
Davide Cora, Ferdinando Di Cunto, Michele Caselle, Paolo Provero
Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions
Added two references
BMC Bioinformatics. 2007 May 24;8:174. PMID: 17524134
null
null
q-bio.GN
null
3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptional regulation has become increasingly clear in the last few years. We propose two complementary approaches to the statistical analysis of oligonucleotide frequencies in mammalian 3' UTRs aimed at the identification of candidate binding sites for regulatory elements. The first method is based on the identification of sets of genes characterized by evolutionarily conserved overrepresentation of an oligonucleotide. The second method is based on the identification of oligonucleotides showing statistically significant strand asymmetry in their distribution in 3' UTRs. Both methods are able to identify many previously known binding sites located in 3'UTRs, and in particular seed regions of known miRNAs. Many new candidates are proposed for experimental verification.
2007-07-17
0707.0504
Ching-Hwa Kiang
Nolan C. Harris, Yang Song, and Ching-Hwa Kiang
Experimental Free Energy Surface Reconstruction From Single-Molecule Force Spectroscopy Using Jarzynski's Equality
4 pages, 3 figures. Phys. Rev. Lett. (2007) accepted
null
10.1103/PhysRevLett.99.068101
null
physics.bio-ph physics.gen-ph
null
We used the atomic force microscope to manipulate and unfold individual molecules of the titin I27 domain and reconstructed its free energy surface using Jarzynski's equality. The free energy surface for both stretching and unfolding was reconstructed using an exact formula that relates the nonequilibrium work fluctuations to the molecular free energy. In addition, the unfolding free energy barrier, i.e. the activation energy, was directly obtained from experimental data for the first time. This work demonstrates that Jarzynski's equality can be used to analyze nonequilibrium single-molecule experiments, and to obtain the free energy surfaces for molecular systems, including interactions for which only nonequilibrium work can be measured.
2009-11-13
0707.0567
Nicolas Pollet
Ana C Fierro (DE), Rapha\"el Thuret (DE), Laurent Coen (ERE, LPGC), Muriel Perron (DE), Barbara A Demeneix (ERE, LPGC), Maurice Wegnez (DE), Gabor Gyapay (SEG), Jean Weissenbach (SEG), Patrick Wincker (SEG), Andr\'e Mazabraud (DE), Nicolas Pollet (DE)
Exploring nervous system transcriptomes during embryogenesis and metamorphosis in Xenopus tropicalis using EST analysis
null
BMC Genomics 8 (2007) 118
10.1186/1471-2164-8-118
null
q-bio.GN q-bio.QM
null
Xenopus tropicalis is an anuran amphibian species used as model in vertebrate comparative genomics. It provides the same advantages as Xenopus laevis but is diploid and has a smaller genome of 1.7 Gbp. Therefore X. tropicalis is more amenable to systematic transcriptome surveys. We initiated a large-scale partial cDNA sequencing project to provide a functional genomics resource on genes expressed in the nervous system during early embryogenesis and metamorphosis in X. tropicalis. A gene index was defined and analysed after the collection of over 48,785 high quality sequences. Partial cDNA sequences were obtained from an embryonic head and retina library (30,272 sequences) and from a metamorphic brain and spinal cord library (27,602 sequences). These ESTs are estimated to represent 9,693 transcripts derived from an estimated 6,000 genes. An estimated 46% of these cDNA sequences contain their start codon. Further annotation included Gene Ontology functional classification, InterPro domain analysis, alternative splicing and non-coding RNA identification. Gene expression profiles were derived from EST counts and used to define transcripts specific to metamorphic stages of development. Moreover, these ESTs allowed identification of a set of 225 polymorphic microsatellites that can be used as genetic markers. These cDNA sequences permit in silico cloning of numerous genes and will facilitate studies aimed at deciphering the roles of cognate genes expressed in the nervous system during neural development and metamorphosis. The genomic resources developed to study X. tropicalis biology will accelerate exploration of amphibian physiology and genetics.
2007-07-05
0707.0580
Felix Ritort
J.-D. Wen, M. Manosas, P. T. X. Li, S. B. Smith, C. Bustamante, F. Ritort, I. Tinoco Jr
Force unfolding kinetics of RNA using optical tweezers. I. Effects of experimental variables on measured results
PDF file, 30 pages, 7 figures
Biophysical Journal, 92 (2007) 2996-3009
10.1529/biophysj.106.094052
null
physics.bio-ph cond-mat.soft cond-mat.stat-mech q-bio.BM
null
Experimental variables of optical tweezers instrumentation that affect RNA folding/unfolding kinetics were investigated. A model RNA hairpin, P5ab, was attached to two micron-sized beads through hybrid RNA/DNA handles; one bead was trapped by dual-beam lasers and the other was held by a micropipette. Several experimental variables were changed while measuring the unfolding/refolding kinetics, including handle lengths, trap stiffness, and modes of force applied to the molecule. In constant-force mode where the tension applied to the RNA was maintained through feedback control, the measured rate coefficients varied within 40% when the handle lengths were changed by 10 fold (1.1 to 10.2 Kbp); they increased by two- to three-fold when the trap stiffness was lowered to one third (from 0.1 to 0.035 pN/nm). In the passive mode, without feedback control and where the force applied to the RNA varied in response to the end-to-end distance change of the tether, the RNA hopped between a high-force folded-state and a low-force unfolded-state. In this mode, the rates increased up to two-fold with longer handles or softer traps. Overall, the measured rates remained with the same order-of-magnitude over the wide range of conditions studied. In the companion paper (1), we analyze how the measured kinetics parameters differ from the intrinsic molecular rates of the RNA, and thus how to obtain the molecular rates.
2009-11-13
0707.0662
Felix Ritort
M. Manosas, J.-D. Wen, P. T. X. Li, S. B. Smith, C. Bustamante, I. Tinoco, Jr., F. Ritort
Force unfolding kinetics of RNA using optical tweezers. II. Modeling experiments
PDF file, 32 pages including 9 figures plus supplementary material
Biophysical Journal, 92 (2007) 3010-3021
10.1529/biophysj.106.094243
null
physics.bio-ph cond-mat.soft cond-mat.stat-mech q-bio.BM
null
By exerting mechanical force it is possible to unfold/refold RNA molecules one at a time. In a small range of forces, an RNA molecule can hop between the folded and the unfolded state with force-dependent kinetic rates. Here, we introduce a mesoscopic model to analyze the hopping kinetics of RNA hairpins in an optical tweezers setup. The model includes different elements of the experimental setup (beads, handles and RNA sequence) and limitations of the instrument (time lag of the force-feedback mechanism and finite bandwidth of data acquisition). We investigated the influence of the instrument on the measured hopping rates. Results from the model are in good agreement with the experiments reported in the companion article (1). The comparison between theory and experiments allowed us to infer the values of the intrinsic molecular rates of the RNA hairpin alone and to search for the optimal experimental conditions to do the measurements. We conclude that long handles and soft laser traps represent the best conditions to extract rate estimates that are closest to the intrinsic molecular rates. The methodology and rationale presented here can be applied to other experimental setups and other molecules.
2012-08-27
0707.0754
Denis Semenov A.
Denis A. Semenov
The Symmetry of the Genetic Code and a Universal Trend of Amino Acid Gain and Loss
7 pages, 3 tables
null
null
null
q-bio.PE
null
Part 1 of the study intends to show that the universal trend of amino acid gain and loss discovered by Jordan et al. (2005) can be accounted for by the spontaneity of DNA typical damages. These damages lead to replacements of guanine and cytosine by thymine. Part 2 proposes a hypothesis of the evolution of the genetic code, the leading mechanism of which is the nucleotide spontaneous damage. The hypothesis accounts for the universal trend of amino acid gain and loss, stability of the genetic code towards point mutations, the presence of code dialects, and the symmetry of the genetic code table.
2007-07-06
0707.0764
Branko Dragovich
Branko Dragovich and Alexandra Dragovich
p-Adic Degeneracy of the Genetic Code
11 pages, 1 table. Published in the Proceedings of '4th Summer School in Modern Mathematcal Physics', September 2006, Belgrade (Serbia)
SFIN XX A1 (2007) 179-188
null
null
q-bio.GN cs.IT math.IT physics.bio-ph
null
Degeneracy of the genetic code is a biological way to minimize effects of the undesirable mutation changes. Degeneration has a natural description on the 5-adic space of 64 codons $\mathcal{C}_5 (64) = \{n_0 + n_1 5 + n_2 5^2 : n_i = 1, 2, 3, 4 \} ,$ where $n_i$ are digits related to nucleotides as follows: C = 1, A = 2, T = U = 3, G = 4. The smallest 5-adic distance between codons joins them into 16 quadruplets, which under 2-adic distance decay into 32 doublets. p-Adically close codons are assigned to one of 20 amino acids, which are building blocks of proteins, or code termination of protein synthesis. We shown that genetic code multiplets are made of the p-adic nearest codons.
2007-07-16
0707.0804
Brigitte Gaillard
M. Boos (DEPE-Iphc), C. Zimmer (DEPE-Iphc), A. Carriere (DEPE-Iphc), J.P. Robin (DEPE-Iphc), O. Petit (DEPE-Iphc)
Post-hatching parental care behaviour and hormonal status in a precocial bird
null
Behavioural Processes (18/05/2007) sous presse
10.1016/j.beproc.2007.05.003
null
q-bio.PE
null
In birds, the link between parental care behaviour and prolactin release during incubation persists after hatching in altricial birds, but has never been precisely studied during the whole rearing period in precocial species, such as ducks. The present study aims to understand how changes in parental care after hatching are related to circulating prolactin levels in mallard hens rearing ducklings. Blood was sampled in hens over at least 13 post-hatching weeks and the behaviour of the hens and the ducklings was recorded daily until fledging. Contacts between hens and the ducklings, leadership of the ducklings and gathering of them steadily decreased over post-hatching time. Conversely, resting, preening and agonistic behaviour of hens towards ducklings increased. Plasma prolactin concentrations remained at high levels after hatching and then fell after week 6 when body mass and structural size of the young were close to those of the hen. Parental care behaviour declined linearly with brood age, showed a disruption of the hen-brood bond at week 6 post-hatching and was related to prolactin concentration according to a sigmoid function. Our results suggest that a definite threshold in circulating prolactin is necessary to promote and/or to maintain post-hatching parental care in ducks.
2007-07-06
0707.0880
Ching-Hwa Kiang
Nolan C. Harris and Ching-Hwa Kiang
Defects Can Increase the Melting Temperature of DNA-Nanoparticle Assemblies
12 pages, 3 figures
J. Phys. Chem. B, 110 (2006) 16393-16396
10.1021/jp062287d
null
physics.bio-ph
null
DNA-gold nanoparticle assemblies have shown promise as an alternative technology to DNA microarrays for DNA detection and RNA profiling. Understanding the effect of DNA sequences on the melting temperature of the system is central to developing reliable detection technology. We studied the effects of DNA base-pairing defects, such as mismatches and deletions, on the melting temperature of DNA-nanoparticle assemblies. We found that, contrary to the general assumption that defects lower the melting temperature of DNA, some defects increase the melting temperature of DNA-linked nanoparticle assemblies. The effects of mismatches and deletions were found to depend on the specific base pair, the sequence, and the location of the defects. Our results demonstrate that the surface-bound DNA exhibit hybridization behavior different from that of free DNA. Such findings indicate that a detailed understanding of DNA-nanoparticle assembly phase behavior is required for quantitative interpretation of DNA-nanoparticle aggregation.
2007-07-09
0707.1078
Vito Domenico Pietro Servedio
Paolo Butt\`a, Fiammetta Cerreti, Vito D. P. Servedio, Livio Triolo
Molecular Dynamics Simulation of Vascular Network Formation
10 pages, 3 figures, 2 of which composite with 8 pictures each. Accepted on J.Stat.Mech. (2009). Appeared at the poster session of StatPhys23, Genoa, Italy, July 13 (2007)
Journal of Statistical Mechanics: Theory and Experiments (2009) P05013, 10 pages
10.1088/1742-5468/2009/05/P05013
Roma01.Math.MP
cond-mat.soft q-bio.CB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Endothelial cells are responsible for the formation of the capillary blood vessel network. We describe a system of endothelial cells by means of two-dimensional molecular dynamics simulations of point-like particles. Cells' motion is governed by the gradient of the concentration of a chemical substance that they produce (chemotaxis). The typical time of degradation of the chemical substance introduces a characteristic length in the system. We show that point-like model cells form network resembling structures tuned by this characteristic length, before collapsing altogether. Successively, we improve the non-realistic point-like model cells by introducing an isotropic strong repulsive force between them and a velocity dependent force mimicking the observed peculiarity of endothelial cells to preserve the direction of their motion (persistence). This more realistic model does not show a clear network formation. We ascribe this partial fault in reproducing the experiments to the static geometry of our model cells that, in reality, change their shapes by elongating toward neighboring cells.
2022-12-22
0707.1093
Lawrence R. Pratt
J. K. Shah, D. Asthagiri, L. R. Pratt, M. E. Paulaitis
Balancing Local Order and Long-Ranged Interactions in the Molecular Theory of Liquid Water
8 pages, 6 figures
null
10.1063/1.2766940
LA-UR-07-3494
physics.chem-ph physics.bio-ph
null
A molecular theory of liquid water is identified and studied on the basis of computer simulation of the TIP3P model of liquid water. This theory would be exact for models of liquid water in which the intermolecular interactions vanish outside a finite spatial range, and therefore provides a precise analysis tool for investigating the effects of longer-ranged intermolecular interactions. We show how local order can be introduced through quasi-chemical theory. Long-ranged interactions are characterized generally by a conditional distribution of binding energies, and this formulation is interpreted as a regularization of the primitive statistical thermodynamic problem. These binding-energy distributions for liquid water are observed to be unimodal. The gaussian approximation proposed is remarkably successful in predicting the Gibbs free energy and the molar entropy of liquid water, as judged by comparison with numerically exact results. The remaining discrepancies are subtle quantitative problems that do have significant consequences for the thermodynamic properties that distinguish water from many other liquids. The basic subtlety of liquid water is found then in the competition of several effects which must be quantitatively balanced for realistic results.
2009-11-13