<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/GSE336nnn/GSE336281/</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> Other</gds_type><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336281</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell RNA sequencing of ovarian CD45+ immune cells from gonadotropin-treated and untreated mice</name><description>CD45+ immune cells were isolated from ovaries of adult female C57BL/6J mice treated with gonadotropin (n=5) or saline control (n=5). Individual mice were labeled with TotalSeq-B hashtag antibodies, pooled by treatment group, and subjected to 10x Genomics Chromium single-cell RNA sequencing. Hashtag oligonucleotide libraries were used for sample demultiplexing. The dataset was generated to characterize ovarian immune cell populations and their response to gonadotropin-induced hormonal stimulation.</description><dates><publication>2026/06/24</publication></dates><accession>GSE336281</accession><cross_references><GSM>GSM9831306</GSM><GSM>GSM9831305</GSM><GSM>GSM9831308</GSM><GSM>GSM9831307</GSM><GPL>17021</GPL><GSE>336281</GSE><taxon>Mus musculus</taxon><PMID>[42467591]</PMID></cross_references></HashMap>