Single cell transcriptomics comes of age.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 32855414.
- Also identified by DOI 10.1038/s41467-020-18158-5 and PMC identifier 7453005.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Single cell transcriptomics technologies have vast potential in advancing our understanding of biology and disease. Here, Sarah Aldridge and Sarah Teichmann review the last decade of technological advancements in single-cell transcriptomics and highlight some of the recent discoveries enabled by this technology.
Medical subject headings
- Computational Biology
- Gene Expression Profiling
- Single-Cell Analysis
- Transcriptome