<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/GSE297nnn/GSE297915/</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=GSE297915</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Profile of innate immunity in the skin of patients with SARS-CoV-2</name><description>The proposal is to analyse global immunity genes in the RNA sequencing of the skin of patients with SARS-CoV-2 We analyzed 8 samples of skin samples from post-mortem patients from Covid-19 of Hospital das Clinicas da Faculdade de Medicina da USP de Sao Paulo. To compare we used 5 skin biopsy from healthy controls, submitted to plastic surgery.</description><dates><publication>2026/07/20</publication></dates><accession>GSE297915</accession><cross_references><GSM>GSM9001950</GSM><GSM>GSM9001951</GSM><GSM>GSM9001940</GSM><GSM>GSM9001941</GSM><GSM>GSM9001942</GSM><GSM>GSM9001943</GSM><GSM>GSM9001944</GSM><GSM>GSM9001945</GSM><GSM>GSM9001946</GSM><GSM>GSM9001947</GSM><GSM>GSM9001948</GSM><GSM>GSM9001949</GSM><GSM>GSM9001939</GSM><GPL>18573</GPL><GSE>297915</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>