Journal
GENOME BIOLOGY
Volume 16, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/s13059-015-0580-x
Keywords
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Funding
- NIH [R01 GM078279]
- EMBO [LTF185-2010]
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The definition of cell identity is a central problem in biology. While single-cell RNA-seq provides a wealth of information regarding cell states, better methods are needed to map their identity, especially during developmental transitions. Here, we use repositories of cell type-specific transcriptomes to quantify identities from single-cell RNA-seq profiles, accurately classifying cells from Arabidopsis root tips and human glioblastoma tumors. We apply our approach to single cells captured from regenerating roots following tip excision. Our technique exposes a previously uncharacterized transient collapse of identity distant from the injury site, demonstrating the biological relevance of a quantitative cell identity index.
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