{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE314nnn/GSE314400/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Homo sapiens"],"gds_type":[" Other","Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314400"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"CIPHER-seq enables low-stress intracellular multimodal profiling of immune activation","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.","dates":{"publication":"2026/04/08"},"accession":"GSE314400","cross_references":{"GSM":["GSM9395707","GSM9395706","GSM9395705","GSM9395704"],"GPL":["34281"],"GSE":["314400"],"taxon":["Homo sapiens"]}}