作者: M.R. Eveque-Mourroux , B. Rocha , F.P.Y. Barré , R.M.A. Heeren , B. Cillero-Pastor
DOI: 10.1016/J.JPROT.2020.103637
关键词: Computational biology 、 High prevalence 、 Solution phase 、 Translational research 、 Biomarker (cell) 、 Spatially resolved 、 Osteoarthritis 、 Medicine 、 Disease 、 Proteomics
摘要: Osteoarthritis (OA) is one of the most common diseases worldwide caused by chronic degeneration joints. Its high prevalence and involvement several tissues define OA as a highly heterogeneous disease. New biological markers to evaluate progression pathology improve its prognosis are needed. Among all different -omic strategies applied OA, solution phase bottom-up proteomics has made an extensive contribution field biomarker research. However, new technologies for protein analysis should be considered better understanding This review focuses on complementary proteomic methodologies translational research other rheumatic pathologies, especially mass spectrometry imaging methods not community yet.