2014
DOI: 10.1038/ncomms4818
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The histone H2A deubiquitinase Usp16 regulates embryonic stem cell gene expression and lineage commitment

Abstract: Polycomb Repressive Complex 1 and histone H2A ubiquitination (ubH2A) contribute to embryonic stem cell (ESC) pluripotency by repressing lineage-specific gene expression. However, whether active deubiquitination co-regulates ubH2A levels in ESCs and during differentiation is not known. Here we report that Usp16, a histone H2A deubiquitinase, regulates H2A deubiquitination and gene expression in ESCs, and importantly, is required for ESC differentiation. Usp16 knockout is embryonic lethal in mice, but does not a… Show more

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Cited by 70 publications
(87 citation statements)
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References 54 publications
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“…5E and Dataset S3). These data indicate that Usp16 regulates the expression of many genes through an indirect mechanism, consistent with our previous study in mouse ESCs (27).…”
Section: Usp16supporting
confidence: 81%
See 2 more Smart Citations
“…5E and Dataset S3). These data indicate that Usp16 regulates the expression of many genes through an indirect mechanism, consistent with our previous study in mouse ESCs (27).…”
Section: Usp16supporting
confidence: 81%
“…Constitutive knockout of Usp16 in mice causes embryonic lethality by preventing ESC lineage commitment (27). To determine the tissue-specific function of Usp16, we generated the Usp16 conditional knockout mouse model, in which Usp16 exons 5 and 6 are flanked with LoxP sites.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The groupBy output was visualized using a line graph in Microsoft Excel. Binding profile heatmaps were gen-erated essentially as previously described, except without binning the genes (56). Briefly, the coverage of each nucleotide across the features was determined as described above, and outputs were converted to data matrices using a custom script and then visualized using conditional formatting options in Microsoft Excel 2013.…”
Section: Discussionmentioning
confidence: 99%
“…The groupBy output was visualized using a line graph in Microsoft Excel. Binding profile heat maps were generated essentially as previously described, except without binning the genes (52). Briefly, the coverage of each nucleotide across the tRNA genes was determined using coverageBed against a BED file of the tRNAscan-SE tRNA gene annotations and the "-d" option of the BEDTools.…”
Section: Rt-qpcrmentioning
confidence: 99%