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bioRxiv · 10.1101/635516

Comparative analysis of diverse cell states establishes an epigenetic basis for inferring regulatory genes governing cell identity

Abstract

Determining genes orchestrating cell differentiation in development and disease remains a fundamental goal of cell biology. This study establishes a genome-wide metric based on the gene-repressive tri-methylation of histone 3 lysine 27 (H3K27me3) across hundreds of diverse cell types to identify genetic regulators of cell differentiation. We introduce a computational method, TRIAGE, that uses discordance between gene-repressive tendency and expression to identify genetic drivers of cell identity. We apply TRIAGE to millions of genome-wide single-cell transcriptomes, diverse omics platforms, and eukaryotic cells and tissue types. Using a wide range of data, we validate TRIAGEs performance for identifying cell-type specific regulatory factors across diverse species including human, mouse, boar, bird, fish, and tunicate. Using CRISPR gene editing, we use TRIAGE to experimentally validate RNF220 as a regulator of Ciona cardiopharyngeal development and SIX3 as required for differentiation of endoderm in human pluripotent stem cells. A record of this papers Transparent Peer Review process is included in the Supplemental Information.

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BibTeXRIS

Shim, W. J., Sinniah, E., Xu, J., Vitrinel, B., Alexenian, M., Andreoletti, G., Shen, S., Balderson, B., Peng, G., Jing, N., Sun, Y., Chhabra, Y., Wang, Y., Tam, P., Smith, A., Piper, M., Srivastava, D., Christiaen, L., Nguyen, Q., Boden, M., Palpant, N.. 2019-05-12. Comparative analysis of diverse cell states establishes an epigenetic basis for inferring regulatory genes governing cell identity. https://doi.org/10.1101/635516

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