<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/GSE314nnn/GSE314400/</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> Other</gds_type><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314400</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>CIPHER-seq enables low-stress intracellular multimodal profiling of immune activation</name><description>This study introduces CIPHER-seq, an optimized intracellular CITE-seq workflow that minimizes fixation-induced cellular stress while enabling simultaneous measurement of intracellular proteins and transcriptomes in the same cell. Peripheral blood mononuclear cells (PBMCs) were processed using either CIPHER-seq or a commercial intracellular protocol (Proteintech) under unstimulated or PMA/ionomycin-stimulated conditions. Single-cell RNA and antibody-derived tag (ADT) libraries were generated using 10x Genomics Flex chemistry. The dataset enables benchmarking of intracellular chemistries, assessment of RNA–protein concordance, and characterization of cytokine-driven immune activation at single-cell resolution.</description><dates><publication>2026/04/08</publication></dates><accession>GSE314400</accession><cross_references><GSM>GSM9395707</GSM><GSM>GSM9395706</GSM><GSM>GSM9395705</GSM><GSM>GSM9395704</GSM><GPL>34281</GPL><GSE>314400</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>