<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/GSE304963/</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=GSE304963</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Identifying differentially expressed genes (DEGs) between shNC and shGm26917 female germline stem cells (FGSCs) [RNA-Seq]</name><description>Integrated analysis of RNA-seq and Ribosome profiling and sequencing (Ribo-seq) data was performed to identify translation efficiency altered upon Gm26917 knockdown.</description><dates><publication>2026/06/18</publication></dates><accession>GSE304963</accession><cross_references><GSM>GSM9160372</GSM><GSM>GSM9160371</GSM><GSM>GSM9160374</GSM><GSM>GSM9160373</GSM><GPL>34290</GPL><GSE>304963</GSE><taxon>Mus musculus</taxon><PMID>[41841563]</PMID></cross_references></HashMap>