<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/GSE336537/</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=GSE336537</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Transcriptome changes driving multiple regulatory pathways involved in TGF-β-induced Anterior Subcapsular Cataract</name><description>Transforming Growth Factor-beta (TGF-β) promotes lens epithelial-mesenchymal tran-sition (EMT) and fibrosis, contributing to anterior subcapsular cataract (ASC) formation. Transgenic mice overexpressing TGF-β1 in lens have been studied for over three decades, and yet the impact of active TGF-β1-overexpression on the lens epithelial transcriptome is undefined. We have addressed this knowledge gap by examining the gene expression landscape of these unique lens epithelia. High-throughput RNA-sequencing was per-formed on isolated lens epithelia from three-week-old TGF-β1-overexpression trans-genic mice from two independent lines, OVE853 and OVE918, and wild-type mice. Downstream analyses included comparisons with lens datasets (e.g., cataract-surgery model) and investigations using various resources/tools (e.g., Gene Ontology, CompBio, iSyTE). Compared to wild-type murine lens epithelia, 384 differentially expressed genes (DEGs) were commonly identified in lens of both transgenic lines. Candidates involved in EMT, inflammatory response, extracellular matrix organization, and mecha-no-sensation were elevated, while those involved in lipid metabolism, Wnt-suppression, Bmp- and Notch-activation were reduced. Comparative analyses with temporal tran-scriptomes on a mouse cataract-surgery model identified overlapping pathological pathways, and some elevated genes, for example endoplasmic reticulum stress genes, were in agreement with human ASC data. A major discovery was the identification of several novel TGF-β1-targets. All our data is made user-friendly accessible through iSyTE.</description><dates><publication>2026/06/25</publication></dates><accession>GSE336537</accession><cross_references><GSM>GSM9837083</GSM><GSM>GSM9837082</GSM><GSM>GSM9837081</GSM><GSM>GSM9837080</GSM><GSM>GSM9837076</GSM><GSM>GSM9837075</GSM><GSM>GSM9837074</GSM><GSM>GSM9837079</GSM><GSM>GSM9837078</GSM><GSM>GSM9837077</GSM><GPL>34290</GPL><GSE>336537</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>