<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/GSE318nnn/GSE318583/</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=GSE318583</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell transcriptomic landscapes of medullary thyroid carcinomas</name><description>In the present study, we used scRNA-seq technology to analyze gene expression in thyroid carcinoma tissues. The sample comprised one from a 35-year-old female patient with medullary thyroid carcinoma (MTC).</description><dates><publication>2026/09/17</publication></dates><accession>GSE318583</accession><cross_references><GSM>GSM9497892</GSM><GPL>24676</GPL><GSE>318583</GSE><taxon>Homo sapiens</taxon><PMID>[42724389]</PMID></cross_references></HashMap>