![]() In the future, such biological findings will greatly benefit medical research.Ĭopyright © 2017 Elsevier Ltd. We anticipate an ever-increasing role of single-cell RNA sequencing in biology with further improvement in providing spatial information and coupling to other cellular modalities. The applications of these methods in different biological contexts are also discussed. In this review, we summarize and compare single-cell RNA sequencing technologies, that were developed since 2009, to facilitate a well-informed choice of method. ![]() Multi-omic data for single cell gene expression, in situ. Single-cell transcriptomic atlases provide unprecedented resolution to reveal complex cellular events and deepen our understanding of biological systems. Single-cell technologies characterize complex cell populations across multiple data modalities at unprecedented scale and resolution. Single-cell RNA sequencing has emerged as an indispensable tool to dissect the cellular heterogeneity and decompose tissues into cell types and/or cell states, which offers enormous potential for de novo discovery. Cells are the basic building blocks of organisms and each cell is unique. Single cell sequencing can reveal the complexity of the cell types that make up multicellular life - allowing us to understand how living systems develop and.
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