Single-cell transcriptomics

Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the RNA concentration (conventionally only messenger RNA (mRNA)) of hundreds to thousands of genes.^[1] Single-cell transcriptomics makes it possible to unravel heterogeneous cell populations, reconstruct cellular developmental pathways, and model transcriptional dynamics — all previously masked in bulk RNA sequencing.^[2]

^ Kanter, Itamar; Kalisky, Tomer (2015). "Single cell transcriptomics: methods and applications". Frontiers in Oncology. 5: 53. doi:10.3389/fonc.2015.00053. ISSN 2234-943X. PMC 4354386. PMID 25806353.
^ Liu, Serena; Trapnell, Cole (2016). "Single-cell transcriptome sequencing: recent advances and remaining challenges". F1000Research. 5: F1000 Faculty Rev–182. doi:10.12688/f1000research.7223.1. ISSN 2046-1402. PMC 4758375. PMID 26949524.

[Kanter_2015_53-1] Kanter, Itamar; Kalisky, Tomer (2015). "Single cell transcriptomics: methods and applications". Frontiers in Oncology. 5: 53. doi:10.3389/fonc.2015.00053. ISSN 2234-943X. PMC 4354386. PMID 25806353.

[2] Liu, Serena; Trapnell, Cole (2016). "Single-cell transcriptome sequencing: recent advances and remaining challenges". F1000Research. 5: F1000 Faculty Rev–182. doi:10.12688/f1000research.7223.1. ISSN 2046-1402. PMC 4758375. PMID 26949524.

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Single-cell transcriptomics

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