Literature DB >> 18821673

Proteomic characterization of mouse cartilage degradation in vitro.

Richard Wilson1, Daniele Belluoccio, Christopher B Little, Amanda J Fosang, John F Bateman.   

Abstract

OBJECTIVE: To develop proteomics to analyze mouse cartilage degradation and correlate transcriptional and translational responses to catabolic stimuli.
METHODS: Proteomic techniques were used to analyze catabolism in mouse femoral head cartilage. Using specific methods to prepare cartilage extracts and conditioned media for 2-dimensional polyacrylamide gel electrophoresis and subsequent tandem mass spectrometry, we identified novel proteins and fragments released into the media of control, interleukin-1alpha (IL-1alpha)-treated, and all-trans-retinoic acid (RetA)-treated explants. Fluorescence 2-dimensional difference gel electrophoresis was used to quantify protein expression changes. We also measured changes in messenger RNA (mRNA) expression to distinguish transcriptional and posttranslational regulation of released proteins.
RESULTS: Differentially abundant proteins in the media of control and treated explants included fragments of thrombospondin 1 and connective tissue growth factor. IL-1alpha stimulated release of the cartilage degeneration marker matrix metalloproteinase 3, as well as proteins with uncharacterized roles in cartilage pathology, such as neutrophil gelatinase-associated lipocalin. RetA stimulated release of the extracellular matrix proteins cartilage oligomeric matrix protein, link protein, and matrilin-3 into the media, which was accompanied by a dramatic reduction in the corresponding mRNA transcript levels. Gelsolin, which has been implicated in cytoskeletal reorganization in arthritis synovial fibroblasts but has not been previously associated with cartilage pathology, was regulated by IL-1alpha and RetA.
CONCLUSION: In this first analysis of mouse cartilage degradation and protein release using proteomics, we identified proteins and fragments, some of which represent novel candidate biomarkers for cartilage degradation. Applying these proteomic techniques to wild-type and genetically modified mouse cartilage will provide insights into the mechanisms of cartilage degeneration.

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Mesh:

Year:  2008        PMID: 18821673     DOI: 10.1002/art.23789

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  22 in total

1.  Proteomic analysis of articular cartilage vesicles from normal and osteoarthritic cartilage.

Authors:  Ann K Rosenthal; Claudia M Gohr; James Ninomiya; Bassam T Wakim
Journal:  Arthritis Rheum       Date:  2011-02

2.  Label-free protein profiling of adipose-derived human stem cells under hyperosmotic treatment.

Authors:  Elizabeth S Oswald; Lewis M Brown; J Chloë Bulinski; Clark T Hung
Journal:  J Proteome Res       Date:  2011-06-14       Impact factor: 4.466

Review 3.  Novel bone metabolism-associated hormones: the importance of the pre-analytical phase for understanding their physiological roles.

Authors:  Giovanni Lombardi; Mosè Barbaro; Massimo Locatelli; Giuseppe Banfi
Journal:  Endocrine       Date:  2017-02-08       Impact factor: 3.633

Review 4.  Defining the extracellular matrix using proteomics.

Authors:  Adam Byron; Jonathan D Humphries; Martin J Humphries
Journal:  Int J Exp Pathol       Date:  2013-02-19       Impact factor: 1.925

Review 5.  What's new in our understanding of the role of adipokines in rheumatic diseases?

Authors:  Rodolfo Gómez; Javier Conde; Morena Scotece; Juan Jesus Gómez-Reino; Francisca Lago; Oreste Gualillo
Journal:  Nat Rev Rheumatol       Date:  2011-08-02       Impact factor: 20.543

6.  Proteomics in bone research.

Authors:  Hengwei Zhang; Robert Recker; Wai-Nang Paul Lee; Gary Guishan Xiao
Journal:  Expert Rev Proteomics       Date:  2010-02       Impact factor: 3.940

7.  The pattern recognition receptor CD36 is a chondrocyte hypertrophy marker associated with suppression of catabolic responses and promotion of repair responses to inflammatory stimuli.

Authors:  Denise L Cecil; C Thomas G Appleton; Monika D Polewski; John S Mort; Ann Marie Schmidt; Alison Bendele; Frank Beier; Robert Terkeltaub
Journal:  J Immunol       Date:  2009-04-15       Impact factor: 5.422

8.  Proteomic Analysis of Engineered Cartilage.

Authors:  Xinzhu Pu; Julia Thom Oxford
Journal:  Methods Mol Biol       Date:  2015

9.  S100A8 and S100A9 in experimental osteoarthritis.

Authors:  Hala Zreiqat; Daniele Belluoccio; Margaret M Smith; Richard Wilson; Lynn A Rowley; Katie Jones; Yogambha Ramaswamy; Thomas Vogl; Johannes Roth; John F Bateman; Christopher B Little
Journal:  Arthritis Res Ther       Date:  2010-01-27       Impact factor: 5.156

10.  Initial responses of articular tissues in a murine high-fat diet-induced osteoarthritis model: pivotal role of the IPFP as a cytokine fountain.

Authors:  Munetaka Iwata; Hiroki Ochi; Yasushi Hara; Masahiro Tagawa; Daisuke Koga; Atsushi Okawa; Yoshinori Asou
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

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