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Nat Protoc. 2018 Apr;13(4):599-604. doi: 10.1038/nprot.2017.149. Epub 2018 Mar 1.

Exponential scaling of single-cell RNA-seq in the past decade.

Author information

1
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, UK.
2
Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.

Abstract

Measurement of the transcriptomes of single cells has been feasible for only a few years, but it has become an extremely popular assay. While many types of analysis can be carried out and various questions can be answered by single-cell RNA-seq, a central focus is the ability to survey the diversity of cell types in a sample. Unbiased and reproducible cataloging of gene expression patterns in distinct cell types requires large numbers of cells. Technological developments and protocol improvements have fueled consistent and exponential increases in the number of cells that can be studied in single-cell RNA-seq analyses. In this Perspective, we highlight the key technological developments that have enabled this growth in the data obtained from single-cell RNA-seq experiments.

PMID:
29494575
DOI:
10.1038/nprot.2017.149
[Indexed for MEDLINE]

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