← BioTransfer GEO Dataset Finder
GEO series

Decoding the molecular complexity of lacrimal gland governing corneal wound closure in vivo

GSE292547 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2025/12/03 Platform GPL19057
Summary
The cornea, the transparent outermost layer of the eye, possesses exceptional wound healing capabilities essential for vision preservation. The complexity of the corneal microenvironment is central to its rapid healing; however, the molecular mechanisms orchestrating this process remain poorly defined, limiting therapeutic advancements. Here, we elucidate the extensive remodeling of the corneal molecular landscape following physical injury. Multi-omics analyses—including transcriptomic, epitranscriptomic, and proteomic profiling—uncover significant induction of epithelial cell plasticity driving wound closure. Moreover, lacrimal gland ablation further suppresses Pax6 expression, highlighting its regulatory role. Our multi-omic approach uniquely reveals bilateral remodeling of the molecular environment, a phenomenon constrained by an intact tear film. Collectively, our findings identify novel molecular factors critical to corneal healing, significantly advancing the understanding of epithelial plasticity. These insights will facilitate the translation of cell plasticity research into innovative strategies for tissue and organ regeneration.
Published in
Decoding epithelial regeneration in the cornea: multi-omic analysis reveals cellular plasticity as central mechanism
Feret N, Megido AC, Kuony A et al. · Cellular & molecular biology letters 2025 · PMID 41177882 · doi:10.1186/s11658-025-00804-9
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE292547_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1240182 and SRA study SRP572147. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 9 more — browse all 9 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq 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.