<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/GSE321nnn/GSE321717/</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=GSE321717</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>A combinatorial transcription factor screening protocol for identifying cellular reprogramming minimal networks [scRNA-seq]</name><description>Direct reprogramming offers a powerful approach to generate therapeutic cell types, but progress is limited by an incomplete understanding of combinatorial transcription factor cooperativity. Here, we present a protocol for implementing REPROcode to identify reprogramming factor combinations that drive immune cell identities. This protocol details arrayed lentiviral production, transduction, and reprogramming of human fibroblasts into distinct immune cells. We describe cell purification, library preparation, sequencing, and analysis to resolve transcription factor combinations and dynamics driving immune cell induction for immunotherapies.</description><dates><publication>2026/05/11</publication></dates><accession>GSE321717</accession><cross_references><GSM>GSM9549944</GSM><GSM>GSM9549945</GSM><GPL>34328</GPL><GSE>321717</GSE><taxon>Mus musculus</taxon><PMID>[42054212]</PMID></cross_references></HashMap>