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dc.contributor.author Park, Yune-Jung -
dc.contributor.author Chung, Min Kyung -
dc.contributor.author Hwang, Dae Hee -
dc.contributor.author Kim, Wan-Uk -
dc.date.available 2018-01-24T02:01:26Z -
dc.date.created 2018-01-17 -
dc.date.issued 2015-08 -
dc.identifier.issn 1598-2629 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/4903 -
dc.description.abstract Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the largescale study of the proteome, has emerged as a powerful technique for protein identification and characterization.
For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets.
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dc.language English -
dc.publisher 대한면역학회 -
dc.title Proteomics in Rheumatoid Arthritis Research -
dc.type Article -
dc.identifier.doi 10.4110/in.2015.15.4.177 -
dc.identifier.bibliographicCitation Immune Network, v.15, no.4, pp.177 - 185 -
dc.identifier.kciid ART002023870 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Rheumatoid arthritis -
dc.subject.keywordAuthor Proteomics -
dc.subject.keywordAuthor Biomarker -
dc.subject.keywordPlus FIBROBLAST-LIKE SYNOVIOCYTES -
dc.subject.keywordPlus BLOOD MONONUCLEAR-CELLS -
dc.subject.keywordPlus MASS-SPECTROMETRY -
dc.subject.keywordPlus CLASSIFICATION CRITERIA -
dc.subject.keywordPlus DISEASE-ACTIVITY -
dc.subject.keywordPlus RHEUMATOLOGY/EUROPEAN LEAGUE -
dc.subject.keywordPlus PROTEIN EXPRESSION -
dc.subject.keywordPlus AMERICAN-COLLEGE -
dc.subject.keywordPlus RECOMMENDATIONS -
dc.subject.keywordPlus IDENTIFICATION -
dc.citation.endPage 185 -
dc.citation.number 4 -
dc.citation.startPage 177 -
dc.citation.title Immune Network -
dc.citation.volume 15 -
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