<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/GSE301nnn/GSE301842/</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=GSE301842</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Research on the dynamic changes of signaling pathways during SARS-CoV-2 infection of host cells</name><description>SARS-CoV-2 continues to pose a substantial public health challenge owing to its high transmissibility and rapid mutation capacity. The immune regulation of SARS-CoV-2 is a complex process involving both viral immune evasion mechanisms and the dynamic balance of host immune responses. We performed RNA-seq sequencing on host cells at different time points post-infection, followed by pairwise comparative enrichment analysis and clustering analysis, ultimately identifying the regulatory changes in signaling pathways during the infection process.</description><dates><publication>2026/04/15</publication></dates><accession>GSE301842</accession><cross_references><GSM>GSM9090717</GSM><GSM>GSM9090718</GSM><GSM>GSM9090715</GSM><GSM>GSM9090716</GSM><GSM>GSM9090724</GSM><GSM>GSM9090713</GSM><GSM>GSM9090714</GSM><GSM>GSM9090722</GSM><GSM>GSM9090723</GSM><GSM>GSM9090720</GSM><GSM>GSM9090721</GSM><GSM>GSM9090719</GSM><GPL>16791</GPL><GSE>301842</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>