bioRxivGeneticsPreprint
Conserved mechanism of nucleoporin regulation of the Kcnq1ot1 imprinted domain with divergence in embryonic and trophoblast stem cells
Saqib S. SachaniiD, William A. MacDonald, Ashley M. Foulkrod, Carlee R. White, Liyue ZhangiD, Mellissa R.W. ManniD
Abstract
Genomic imprinting is an epigenetic phenomenon, whereby dual chromatin states lead to expression of one, and silencing of the other parental allele. Recently, we identified a nucleoporin-mediated mechanism of Kcnq1ot1 imprinted domain regulation in extraembryonic endoderm stem cells by nucleoporins NUP107, NUP62 and NUP153. Here, we investigate their role in Kcnq1ot1 imprinted domain regulation in embryonic and trophoblast stem cells. Nucleoporin depletion in both lineages reduced Kcnq1ot1 noncoding RNA expression and volume, reduced Kcnq1ot1 paternal domain positioning at the nuclear periphery, and altered histone modifications along with histone modifier enrichment at the imprinting control region. However, while CTCF and cohesin were enriched at nucleoporin binding sites in the imprinting control region in embryonic stem cells, with reduction upon nucleoporin depletion, neither CTCF or cohesin occupied these sites in trophoblast stem cells. Finally, different subsets of silent paternal alleles were reactivated via altered histone modification upon nucleoporin depletion in embryonic and trophoblast stem cells. These results demonstrate a conserved mechanism with divergent regulation of the Kcnq1ot1 imprinted domain by NUP107, NUP62 and NUP153 in embryonic and extraembryonic lineages.\n\nSummary StatementInvestigation of nucleoporins, NUP107, NUP62, and NUP153, revealed a conserved nucleoporin-dependent mechanism that mediates Kcnq1ot1 imprinted domain regulation in ES and TS cells, although notable lineage-specific divergence was also observed.
- organism: mouse
- assay: DNA methylation
- assay: ChIP-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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