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Mining the Proteome Associated with Rheumatic and Autoimmune Diseases
Univ A Coruna, INIBIC Complejo Hosp Univ A Coruna, GIR, Unidad Prote,SERGAS, La Coruna 15006, Spain..ORCID iD: 0000-0001-7649-9803
Univ Colorado Denver, Consortium Fibrosis Res & Translat, Div Cardiol, Dept Med, Anschutz Med Campus, Aurora, CO 80045 USA..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-4657-8532
Lund Univ, Sect Rheumatol & Mol Skeletal Biol, Dept Clin Sci, S-22184 Lund, Sweden..ORCID iD: 0000-0002-2345-2937
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2019 (English)In: Journal of Proteome Research, ISSN 1535-3893, E-ISSN 1535-3907, Vol. 18, no 12, p. 4231-4239Article in journal (Refereed) Published
Abstract [en]

A steady increase in the incidence of osteoarthritis and other rheumatic diseases has been observed in recent decades, including autoimmune conditions such as rheumatoid arthritis, spondyloarthropathies, systemic lupus erythematosus, systemic sclerosis, and Sjogren's syndrome. Rheumatic and autoimmune diseases (RADs) are characterized by the inflammation of joints, muscles, or other connective tissues. In addition to often experiencing debilitating mobility and pain, RAD patients are also at a higher risk of suffering comorbidities such as cardiovascular or infectious events. Given the socioeconomic impact of RADs, broad research efforts have been dedicated to these diseases worldwide. In the present work, we applied literature mining platforms to identify "popular" proteins closely related to RADs. The platform is based on publicly available literature. The results not only will enable the systematic prioritization of candidates to perform targeted proteomics studies but also may lead to a greater insight into the key pathogenic processes of these disorders.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2019. Vol. 18, no 12, p. 4231-4239
Keywords [en]
Human Proteome Project, rheumatic diseases, autoimmune diseases, osteoarthritis, bioinformatics
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:kth:diva-266239DOI: 10.1021/acs.jproteome.9b00360ISI: 000502164100016PubMedID: 31599600Scopus ID: 2-s2.0-85074420794OAI: oai:DiVA.org:kth-266239DiVA, id: diva2:1382496
Note

QC 20200103

Available from: 2020-01-03 Created: 2020-01-03 Last updated: 2020-02-04Bibliographically approved

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Nilsson, Peter

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