2017
DOI: 10.1016/j.jprot.2016.11.012
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Multiplexed mass spectrometry monitoring of biomarker candidates for osteoarthritis

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Cited by 28 publications
(25 citation statements)
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“…Multiple Reaction Monitoring (MRM) targeted 14 candidate proteins from Fern andez-Puente and colleagues' previous studies 64,65 . MRM is a quantitative proteomic approach, comparing with co-elution of a known isotope-labelled peptide.…”
Section: Proteomicsmentioning
confidence: 99%
“…Multiple Reaction Monitoring (MRM) targeted 14 candidate proteins from Fern andez-Puente and colleagues' previous studies 64,65 . MRM is a quantitative proteomic approach, comparing with co-elution of a known isotope-labelled peptide.…”
Section: Proteomicsmentioning
confidence: 99%
“…Multiple reaction monitoring (MRM) is a powerful tool for targeted proteomics and is an emerging field of proteomics with high reproducibility across complex samples. To date, several studies have demonstrated the feasibility of using targeted MRM-MS for quantitative proteomic analyses, which could realize highly multiplex, precise, specific and standardized proteomic quantification [ 20 , 21 ]. Also, iTRAQ discovery combined with subsequent MRM conformation has recently been adopted for disease biomarker quantification studies [ 22 , 23 ], but it has rarely been used for the salivary proteomic analysis of childhood caries.…”
Section: Introductionmentioning
confidence: 99%
“…Together, the biomarker studies have gradually increased our understanding of pathophysiology and underlying mechanisms of disease. Encouraged by these findings, recent studies have focused on the identification of new markers, more specifically addressing early diagnosis, and the development of new targets for disease modifying drugs . Furthermore, biomarkers may also be a means to predict disease progression and optimize individual treatments …”
mentioning
confidence: 99%
“…Encouraged by these findings, recent studies have focused on the identification of new markers, more specifically addressing early diagnosis, and the development of new targets for disease modifying drugs. 5,[11][12][13] Furthermore, biomarkers may also be a means to predict disease progression and optimize individual treatments. 14,15 Abbreviations: ASPN, asporin; AUGN, augurin; Col, collagen; pN Col III, N-propeptide collagen type III; CILP1, cartilage intermediate layer protein 1; CILP2, cartilage intermediate layer protein 2; CHAD, chondroadherin; COMP, cartilage oligomeric matrix protein; CHADL, chondroadherin link protein; CSPG2, versican core protein; COBA2, collagen alpha-2 (XI) chain; DERM, dermatopontin; ECM, extracellular martix; FMOD, fibromodulin; Fx, fracture; FINC, fibronectin; GAGs, glycosaminoglycans; HPLN, hyaluronan and PG link protein; HTRA1, serine protease HTRA1; LC, liquid chromatography; LUM, lumican; MS, mass spectrometry; MRM, multiple reaction monitoring; MATN1, matrilin-1; MATN3, matrilin-3; MIME, mimecan; MGP, matrix Gla protein; OA, osteoarthritis; OMD, osteomodulin; OSTP, osteopontin; PGs, proteoglycans; PGCA, aggrecan core protein; PGS1, biglycan; PGS2, decorin; PRG4, lubricin; PRELP, prolargin; PGBM, basement membrane specific heparin sulfate PG core protein; TSP1, thrombospondin-1; TSP4, thrombospondin-4; SLRPs, small leucine rich repeat proteoglycans; TENA, tenascin-C; TENX, tenascin-X; TGF-b, Transforming growth factor-beta Patrik The aim of this study was to explore candidate proteins in early events of osteoarthritic cartilage which may predict development of OA.…”
mentioning
confidence: 99%