Single-cell RNA-seq: advances and future challenges
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Abstract
Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNA-seq protocols have been introduced and are reviewed here-each one with its own strengths and current limitations. We further provide an overview of the…
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4Topics & keywords
Topics
Keywords
- Biology
- RNA-Seq
- Computational biology
- Transcriptome
- RNA
- Genomics
- Cell
- Genome
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