{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen CY"],"funding":["CIHR"],"pagination":["37324"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5114649"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["6"],"pubmed_abstract":["Sex differences in susceptibility and progression have been reported in numerous diseases. Female cells have two copies of the X chromosome with X-chromosome inactivation imparting mono-allelic gene silencing for dosage compensation. However, a subset of genes, named escapees, escape silencing and are transcribed bi-allelically resulting in sexual dimorphism. Here we conducted in silico analyses of the sexes using human datasets to gain perspectives into such regulation. We identified transcription start sites of escapees (escTSSs) based on higher transcription levels in female cells using FANTOM5 CAGE data. Significant over-representations of YY1 transcription factor binding motif and ChIP-seq peaks around escTSSs highlighted its positive association with escapees. Furthermore, YY1 occupa"],"journal":["Scientific reports"],"pubmed_title":["YY1 binding association with sex-biased transcription revealed through X-linked transcript levels and allelic binding analyses."],"pmcid":["PMC5114649"],"funding_grant_id":["MOP-119586"],"pubmed_authors":["Arenillas DJ","Forrest AR","Hayashizaki Y","Lassmann T","Shi W","Kawaji H","Brown CJ","Li Y","Chen CY","Matthews AM","Wasserman WW","Balaton BP","Carninci P","Itoh M","Mathelier A"],"additional_accession":[]},"is_claimable":false,"name":"YY1 binding association with sex-biased transcription revealed through X-linked transcript levels and allelic binding analyses.","description":"Sex differences in susceptibility and progression have been reported in numerous diseases. Female cells have two copies of the X chromosome with X-chromosome inactivation imparting mono-allelic gene silencing for dosage compensation. However, a subset of genes, named escapees, escape silencing and are transcribed bi-allelically resulting in sexual dimorphism. Here we conducted in silico analyses of the sexes using human datasets to gain perspectives into such regulation. We identified transcription start sites of escapees (escTSSs) based on higher transcription levels in female cells using FANTOM5 CAGE data. Significant over-representations of YY1 transcription factor binding motif and ChIP-seq peaks around escTSSs highlighted its positive association with escapees. Furthermore, YY1 occupa","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Nov","modification":"2026-04-30T14:24:19.797Z","creation":"2019-03-27T02:29:17Z"},"accession":"S-EPMC5114649","cross_references":{"pubmed":["27857184"],"doi":["10.1038/srep37324"]}}