<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/GSE304nnn/GSE304456/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</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=GSE304456</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single cell transcriptomic analysis of salivary epithelial cells reveals large-scale dysregulation in bitter taste dysfunction.</name><description>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. 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.</description><dates><publication>2026/03/31</publication></dates><accession>GSE304456</accession><cross_references><GSM>GSM9151054</GSM><GSM>GSM9151053</GSM><GSM>GSM9151052</GSM><GSM>GSM9151048</GSM><GSM>GSM9151047</GSM><GSM>GSM9151049</GSM><GSM>GSM9151051</GSM><GSM>GSM9151050</GSM><GPL>24676</GPL><GSE>304456</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>