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)
Abstract
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 neurobiology 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 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/37671 |
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