<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/GSE346nnn/GSE346052/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Mus musculus</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE346052</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Integrated long-read transcriptomics of aging mouse pituitary reveals Pou1f1 vulnerability and novel isoform remodeling</name><description>Aging is a multifactorial process accompanied by profound alterations in endocrine function, which plays a central role in maintaining whole-body physiology and metabolism. Although age-related changes in pituitary hormone levels, including growth hormone (GH), have been documented, the molecular mechanisms underlying pituitary aging and its effects on full-length transcript isoforms remain poorly understood. Here, we performed full-length long-read transcriptomic sequencing (Iso-Seq) of anterior pituitary glands from young and old male mice to comprehensively characterize aging-associated changes in gene expression, isoform usage, and alternative splicing. Integration of differential expression, isoform-switch, and novel isoform analyses identified Pou1f1 as the most significantly downregulated gene in aged pituitaries (log₂FC = −2.02, Padj = 1.02 × 10⁻³⁰), accompanied by reduced expression of genes involved in neurosecretory function, including Syn1, Syt7, Dvl3, and Cacna2d2. Notably, aging was associated with a directional accumulation of novel isoforms, with more isoforms enriched in old than young pituitaries (100 vs. 55; binomial P = 0.0004), together with a global shift toward shorter 3′ UTRs (9.6% reduction in length). Together, these findings provide a high-resolution full-length transcriptomic landscape of pituitary aging and reveal previously unrecognized changes in transcript isoform composition and 3′ UTR architecture that may contribute to age-related endocrine dysfunction.</description><dates><publication>2026/09/08</publication></dates><accession>GSE346052</accession><cross_references><GSM>GSM10022302</GSM><GPL>34585</GPL><GSE>346052</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>