Essential gene profiles for human pluripotent stem cells identify uncharacterized genes and substrate dependencies. Mair et al.

Published: 24 Jan 2019 | Version 1 | DOI: 10.17632/rhsw3nbjhz.1

Description of this data

Human pluripotent stem cells (hPSCs) provide an invaluable tool for modeling diseases and hold promise for regenerative medicine. For understanding pluripotency and lineage differentiation mechanisms, a critical first step involves systematically cataloging genes that are indispensable for hPSC maintenance and proliferation. To map genetic determinants of hPSC fitness, we performed genome-scale loss-of-function screens in an inducible Cas9 H1 hPSC line cultured on feeder cells and feeder-free to identify essential genes. Among these, we found FOXH1 and VENTX, genes that encode transcription factors previously implicated in stem cell biology, as well as an uncharacterized gene, C22orf43/DRICH1. hPSCs essential genes are substantially different from other cell lines, and gene essentiality in hPSCs is highly context-dependent with respect to different growth substrates. Our CRISPR screens establish parameters for genome-wide screens in hPSCs, which will facilitate the characterization of unappreciated regulators of hPSC biology to understand the genetic wiring of hPSC fitness and pluripotency.

Experiment data files

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see STAR methods and Key Resource Table of associated publication. Figures can be reproduced using raw data in this repository and in Tables 1-8 by following procedures and applying available analysis tools as outlined in STAR methods.

Latest version

  • Version 1

    2019-01-24

    Published: 2019-01-24

    DOI: 10.17632/rhsw3nbjhz.1

    Cite this dataset

    Mair, Barbara; Tomic, Jelena; Masud, Sanna; Moffat, Jason (2019), “Essential gene profiles for human pluripotent stem cells identify uncharacterized genes and substrate dependencies. Mair et al.”, Mendeley Data, v1 http://dx.doi.org/10.17632/rhsw3nbjhz.1

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Institutions

Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto

Categories

Stem Cell, Functional Genomics, CRISPR

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