{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Needhamsen M"],"funding":["European Research Council"],"pubmed_abstract":["Multiple Sclerosis (MS) is an autoimmune, neurological disease, commonly presenting with a relapsing-remitting form, that later converts to a secondary progressive stage, referred to as RRMS and SPMS, respectively. Early treatment slows disease progression, hence, accurate and early diagnosis is crucial. Recent advances in large-scale data processing and analysis have progressed molecular biomarker development. Here, we focus on small RNA data derived from cell-free cerebrospinal fluid (CSF), cerebrospinal fluid cells, plasma and peripheral blood mononuclear cells as well as CSF cell methylome data, from people with RRMS (n = 20), clinically/radiologically isolated syndrome (CIS/RIS, n = 2) and neurological disease controls (n = 14). We applied multiple co-inertia analysis (MCIA), an unsup"],"journal":["Frontiers in genetics"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9713411"],"repository":["biostudies-literature"],"pubmed_title":["Integration of small RNAs from plasma and cerebrospinal fluid for classification of multiple sclerosis"],"pmcid":["PMC9713411"],"funding_grant_id":["818170"],"pubmed_authors":["Needhamsen M","Piket E","Jagodic M","Zheleznyakova G","Hagemann-Jensen M","Gierlich J","Han Y","Ekman D","Khoonsari P"],"additional_accession":[]},"is_claimable":false,"name":"Integration of small RNAs from plasma and cerebrospinal fluid for classification of multiple sclerosis","description":"Multiple Sclerosis (MS) is an autoimmune, neurological disease, commonly presenting with a relapsing-remitting form, that later converts to a secondary progressive stage, referred to as RRMS and SPMS, respectively. Early treatment slows disease progression, hence, accurate and early diagnosis is crucial. Recent advances in large-scale data processing and analysis have progressed molecular biomarker development. Here, we focus on small RNA data derived from cell-free cerebrospinal fluid (CSF), cerebrospinal fluid cells, plasma and peripheral blood mononuclear cells as well as CSF cell methylome data, from people with RRMS (n = 20), clinically/radiologically isolated syndrome (CIS/RIS, n = 2) and neurological disease controls (n = 14). We applied multiple co-inertia analysis (MCIA), an unsup","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-04T07:47:59.146Z","creation":"2025-02-19T04:13:56.972Z"},"accession":"S-EPMC9713411","cross_references":{}}