Single Cell Omics

Recent advances are nowadays providing opportunities to examine the complexities of organs and organisms at the single-cell level. The conventional cellbased analysis mainly examines the cellular processes from the bulk of cells but singlecell omics provides a more detailed insight into individual cell phenotypes, thus giving a link between the phenotype and genotype of cells. Single-cell analysis can be performed at genome, epigenome, transcriptome, proteome and metabolome levels and thus makes it possible to come across mechanisms not seen during the sequencing of bulk tissues. Researchers need to isolate single cells before the initiation of single-cell analysis. For this, various strategies like FACS, MACS, LCM, micro-manipulation and micro-fluids are used for cell isolation depending upon their physical properties and cellular biological characteristics. The analysis of single-cell data at multiple levels gives us an unusual view of multilevel transformation at the single-cell level and thus providing a better chance to discover novel biological processes. High throughput analysis of single cells at genome, transcriptome and proteome levels provides unique and important insights into cell variability and diverse processes like development, genetic expressions and severity of different symptoms in disease pathogenesis.