<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/GSE341nnn/GSE341102/</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=GSE341102</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell sequencing reveals the immune cell landscape of peripheral blood mononuclear cells in primary membranous nephropathy</name><description>Primary membranous nephropathy (PMN) stands as the predominant pathological subtype of primary nephrotic syndrome in adults. Approximately one-third of patients diagnosed with primary membranous nephropathy will eventually progress to end-stage renal disease (ESRD), carrying a poor prognosis. Our study employed single-cell RNA sequencing to investigate PMN, with the objectives of characterizing immune cell phenotypes, deciphering intercellular interaction patterns, and elucidating the potential mechanisms implicated in PMN pathogenesis.</description><dates><publication>2026/07/27</publication></dates><accession>GSE341102</accession><cross_references><GSM>GSM9899966</GSM><GSM>GSM9899965</GSM><GSM>GSM9899959</GSM><GSM>GSM9899960</GSM><GSM>GSM9899962</GSM><GSM>GSM9899961</GSM><GSM>GSM9899964</GSM><GSM>GSM9899963</GSM><GPL>21290</GPL><GSE>341102</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>