← BioTransfer GEO Dataset Finder
GEO series

Versatile SMAD2 and SMAD3 epitope-tagged mouse models for genome-wide profiling of TGFβ superfamily signaling: uncovering novel GDF9-SMAD2/3 target genes

GSE315433 Mus musculus Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 44 samples 2026/03/17 GPL21626GPL34328
Summary
Transforming growth factor β (TGFβ) signaling pathways are integral for a plethora of biological processes. SMAD2 and SMAD3 are the principal transcriptional effectors of TGFβ superfamily ligands, yet quantitative, genome-wide mapping of their DNA-associated complexes under physiological contexts has remained limited due to the lack of specific, robust models. Here, we generated two versatile epitope-tagged mouse models in which endogenous SMAD2 and SMAD3 proteins are globally tagged with HA and PA, respectively. To demonstrate the broad application of our models, we evaluated our lines in ovarian biology. By integrating genomic and transcriptomic analyses, we identified direct genes induced by the GDF9-SMAD2/3 axis and discovered gene sets suppressed by this signaling cascade, highlighting a previously underappreciated role of GDF9 in attenuating competing pathways to ensure proper ovarian granulosa cell fate transitions. Together, these epitope-tagged SMAD mouse models provide extensive, applicable in vivo genetic toolkits for tissue-specific dissection of TGFβ family signaling.
Download
NCBI GEO page ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse ChIP / ATAC / CUT&Tag datasets →
Similar datasets

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.