| Title | Spatial transcriptome analysis of human fetal vaginal epithelium |
|---|---|
| Description | The human vaginal epithelium is a crucial component in numerous reproductive processes and serves as a vital protective barrier against pathogenic invasion. Despite its significance, a comprehensive exploration of its molecular profiles, including molecule expression and distribution across its multiple layers, remains elusive. In our study, we undertook a spatial transcriptomic analysis within the vaginal wall of human fetuses to fill this knowledge gap. Through rigorous analysis, we successfully categorized vaginal epithelial cells into four distinct clusters based on their transcriptomic profiles and mapped them onto the corresponding anatomical zones. This approach revealed unique transcriptomic signatures within these regions, enabling us to identify differentially expressed genes and enriched pathways linked to key biological processes such as proliferation, metabolism, and immunity. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Open-access |
| BioProject | PRJCA023518 |
| Release Date | 2024-04-01 |
| Submitter | guangfeng Zhao (obgyn_labmeeting@126.com) |
| Organization | Affiliated Drum Tower Hospital, Medical School, Nanjing University |
| Submission Date | 2024-03-07 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX005958-01 | spaceranger out files and original H-E staining image for sample V22W-6 | 24 | Expression Profiling | 799.79 MB | zip | Unavailable |
| OMIX005958-02 | spaceranger out files and original H-E staining image for sample V22W-5 | 24 | Expression Profiling | 806.96 MB | zip | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Molecular stratification of human fetal vaginal epithelium by spatial transcriptome analysis | bioRxiv | 2024-03 | OMIX005958 | Deposit |