<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/GSE333nnn/GSE333390/</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=GSE333390</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>PIC-RNA-seq for primordial oocyte-specific local transcriptome analysis</name><description>To assess gene expression in oocytes beyond the embryonic stage, we used photo-isolation chemistry (PIC)-based mRNA profiling, which enabled selective analysis of primordial oocytes within postnatal day 2 (P2) and P10 ovaries.</description><dates><publication>2026/08/18</publication></dates><accession>GSE333390</accession><cross_references><GSM>GSM9762006</GSM><GSM>GSM9762005</GSM><GPL>32159</GPL><GSE>333390</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>