<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/GSE304nnn/GSE304232/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</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=GSE304232</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Human DCM-time machine unravels cell state changes during primitive gut tube differentiation [RNA-seq]</name><description>Cell state changes in development and differentiation are directed by gene and enhancer activity dynamics, which are difficult to study in real time. We introduce the DCM-time machine (DCM-TM) into human induced pluripotent stem cells (iPSCs) to enable retrospective, genome-wide tracing of transcriptional activity. This system labels active genes and enhancers with DCM methylation marks that are propagated during S-phase. Applied to iPSC differentiation towards definitive endoderm and primitive gut tube, DCM-TM resolves activity dynamics and enables integration with transcription factor networks and CpG methylation profiles. Together, DCM-TM provides a powerful platform for dissecting both healthy and pathogenic embryogenesis.</description><dates><publication>2026/09/11</publication></dates><accession>GSE304232</accession><cross_references><GSM>GSM9145586</GSM><GSM>GSM9145585</GSM><GSM>GSM9145584</GSM><GSM>GSM9145583</GSM><GSM>GSM9145582</GSM><GSM>GSM9145581</GSM><GPL>30173</GPL><GSE>304232</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>