Update PFCapp.qmd

PFCapp.qmd

@@ -7,18 +7,18 @@ format:
     logo: https://ZhengTiger.github.io/picx-images-hosting/PFCapp/Logo-circle.7sn4nqapcl.png
     nav-buttons:
       - icon: github
-        href: https://github.com/ZhengTiger/SPIDER-seq
+        href: https://github.com/ZhengTiger/SPIDER-Seq
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 # Home
 
-<p style="font-size: 50px; font-weight: bold; text-align: center;">Deciphering the single-cell spatial projectomics and transcriptomics organization in PFC by SPIDER-Seq</p>
+<p style="font-size: 50px; font-weight: bold; text-align: center;">Modular organization of mouse prefrontal cortex subnetwork revealed by spatial single-cell multi-omic analysis of SPIEDER-Seq</p>
 
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-<img src="https://ZhengTiger.github.io/picx-images-hosting/PFCapp/Figure1A.26lgt5fr15.jpg" style="width: 100%;">
+<img src="https://ZhengTiger.github.io/picx-images-hosting/PFCapp/Figure1A.2doqkri93w.webp" style="width: 100%;">
 
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@@ -28,7 +28,7 @@ Summary
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 <p style="font-size: 20px; text-align: justify;">
-Deciphering the connectivity, transcriptome, and spatial-omics integrated multi-module brain atlas and the underlying organization principles remains challenging. We developed a cost-effective Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) method by combining viral barcoding tracing with single-cell sequencing and spatial-omics. Leveraging SPIDER-Seq, we delineated a comprehensive integrated single-cell spatial molecular, cellular and projectomic atlas of mouse prefrontal cortex (PFC). The projectomic and transcriptomic cell clusters display distinct organization principle, but are coordinately configured in PFC. These projection neurons gradiently distributed in PFC aligning with their wiring patterns, and importantly, show higher co-projection probability to the downstream nuclei with reciprocal circuit connections. Moreover, we depicted PFC neural transmission map, in which neural transmission molecues (neurotransmitter/neuropeptide and the receptors) distinctly express in different circuits. Finally, we predicted neuron projections by integrated gene profile and spatial information with high accuracy via machine learning. Our study could greatly facilitate to delineating brain multi-module network and understanding neural computation.
+Deciphering the connectome, transcriptome and spatial-omics integrated multi-modal brain atlas and the underlying organization principles remains a great challenge. We developed a cost-effective Single-cell Projectome-transcriptome In situ Deciphering Sequencing (SPIDER-Seq) technique by combining viral barcoding tracing with single-cell sequencing and spatial-omics. This empowers us to delineate a comprehensive integrated single-cell spatial molecular, cellular and projectomic atlas of mouse prefrontal cortex (PFC). The projectomic and transcriptomic cell clusters display distinct modular organization principles, but are coordinately configured in the PFC. The projection neurons gradiently occupied different territories in the PFC aligning with their wiring patterns. Importantly, they show higher co-projection probability to the downstream nuclei with reciprocal circuit connections. Moreover, we integrated projectomic atlas with their distinct spectrum of neurotransmitter/neuropeptide and the receptors-related gene profiles and depicted PFC neural signal transmission network. By which, we uncovered potential mechanisms underlying the complexity and specificity of neural transmission. Finally, we predicted neuron projections with high accuracy by combining gene profiles and spatial information via machine learning. This study facilitates our understanding of brain multi-modal network and neural computation.
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