<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE316nnn/GSE316051/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE316051</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>To screen the epigentic facters' effect on mESC state transition, Naïve state, Primed state.</name><description>The transcriptional and epigenetic status restricts the self-renewal ability and lineage specificity of the naïve and primed mouse embryonic stem cells (mESC). CRISPR/Cas9-based functional screening coupled with single cell RNA-seq (CROP-seq) establishes relationships between gRNA-mediated knockout genotypes and transcriptome phenotypes, and is a novel tool to unravel gene regulatory networks. Here, we used CROP-seq approach to dissect the transcriptional and epigenetic regulation of the pluripotency network in mESCs.</description><dates><publication>2026/08/19</publication></dates><accession>GSE316051</accession><cross_references><GSM>GSM9443799</GSM><GSM>GSM9443800</GSM><GSM>GSM9443795</GSM><GSM>GSM9443796</GSM><GSM>GSM9443797</GSM><GSM>GSM9443798</GSM><GSM>GSM9443793</GSM><GSM>GSM9443794</GSM><GPL>24247</GPL><GSE>316051</GSE><taxon>Mus musculus</taxon><PMID>[42462715]</PMID></cross_references></HashMap>