Profiling of endogenous peptides in human synovial fluid by nanoLC−MS: method validation and peptide identification

Kamphorst, J. J.e. , van der Heijden, R., DeGroot, J., Lafeber, F. P.J.G., Reijmers, T. H., van El, B., Tjaden, U. R., van der Greef, J. and Hankemeier, T. (2007) Profiling of endogenous peptides in human synovial fluid by nanoLC−MS: method validation and peptide identification. Journal of Proteome Research, 6(11), pp. 4388-4396. (doi: 10.1021/pr0704534) (PMID:17929855)

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Abstract

Here, a method is described for profiling endogenous peptides in human synovial fluid, based on nanoLC−MS, for studying joint diseases as osteoarthritis. The method has a satisfactory analytical performance, that is, relative standard deviations of 5−15%, a linear response and limit of detection in the femtomole range, and reproducible recoveries of 14−67%. In total, 501 peptides originating from 40 proteins were identified, of which six have previously been associated with osteoarthritis (collagen II, proteoglcycan 4, serum amyloid A, tubulin, vimentin, and Matrix Gla). The robustness of the method indicates that it can be used to study diseases as osteoarthritis.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kamphorst, Dr Jurre
Authors: Kamphorst, J. J.e., van der Heijden, R., DeGroot, J., Lafeber, F. P.J.G., Reijmers, T. H., van El, B., Tjaden, U. R., van der Greef, J., and Hankemeier, T.
College/School:College of Medical Veterinary and Life Sciences > School of Cancer Sciences
Journal Name:Journal of Proteome Research
Publisher:American Chemical Society
ISSN:1535-3893
ISSN (Online):1535-3907

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