The ability to detect cell-to-cell variation allows for the discovery of hidden mechanisms that may be intractable to studies using bulk samples. Single-cell analysis has become a powerful tool in biological research, enabling a deeper understanding of the complexity and heterogeneity inherent in biological systems. This approach allows for studying unique characteristics, such as gene expression, protein levels, metabolomic features, and cellular behavior, at cellular level. Single-cell analysis enables us to identify rare cell populations and subpopulations with unique functions or characteristics. Single cell analysis has revolutionized research in numerous files, opening new avenues for discovery and advancing our understanding of life at the single-cell level. Such analysis unveils crucial insights into multiple aspects, such as developmental processes, disease progression, and therapeutic responses, in studies of disease mechanisms and personalized treatment.