Omics · study · 2026
Single cell transcriptomic analysis of salivary epithelial cells reveals large-scale dysregulation in bitter taste dysfunction.
Listed in NCBI GEO
This study utilized Parse Biosciences's Evercode WT technology to perform scRNA-sequencing of saliva samples from individuals experiencing long COVID associated dysgeusia as well as healthy individuals.
Description
The molecular mechanisms behind viral induced dysgeusia are unknown and the salivary epithelium is an easily collected sample that could contain valuable insights into viral mediated dysgeusia. This is the first study to sequence the salivary epithelium and resulted in the identification of large scale dysregulation of epithelial cells in viral induced dysgeusia.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE304nnn/GSE304456 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE304456 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1301335 ncbi.nlm.nih.gov/bioproject/PRJNA1301335 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE304456 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |