Single cell RNA-sequencing: replicability of cell types

Crow, M., Gillis, J. (June 2019) Single cell RNA-sequencing: replicability of cell types. Current Opinion in Neurobiology, 56. pp. 69-77. ISSN 09594388 (ISSN)

DOI: 10.1016/j.conb.2018.12.002


Recent technical advances have enabled transcriptomics experiments at an unprecedented scale, and single-cell profiles from neural tissue are accumulating rapidly. There has been considerable effort to use these profiles to understand cell diversity, primarily through unsupervised clustering and differential expression analysis. However, current practices to validate these findings vary. In this review, we describe recent efforts to evaluate clusters from single-cell RNA-sequencing data, and provide a framework for considering current evidence and practices in terms of their capacity to establish principles of cell biology. Single-cell RNA-sequencing has already transformed neuroscience. By facilitating detailed comparative and genetic perturbation analyses, it may provide the tools to uncover fundamental mechanisms of neural diversity throughout the tree of life. © 2018 Elsevier Ltd

Item Type: Paper
Subjects: bioinformatics
Investigative techniques and equipment
Investigative techniques and equipment > assays
bioinformatics > computational biology
Investigative techniques and equipment > assays > RNA-seq
Investigative techniques and equipment > assays > Single cell sequencing
CSHL Authors:
Communities: CSHL labs > Gillis Lab
Depositing User: Matthew Dunn
Date: June 2019
Date Deposited: 28 Jan 2019 21:47
Last Modified: 01 Feb 2024 21:09
PMCID: PMC6551252
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