Literature DB >> 12721354

Gene expression in chondrocytes assessed with use of microarrays.

Thomas Aigner1, Alexander Zien, Daniel Hanisch, Ralf Zimmer.   

Abstract

BACKGROUND: Despite considerable limitations such as low sensitivity and insensitivity to alternative splicing, posttranscriptional regulation, and posttranslational modification, cDNA array technology provides a powerful tool with which to obtain an overview of gene expression patterns, hardly achievable with other techniques. This has been shown to be true for the analysis of known genes as well as the discovery of new genes of interest.
METHODS: Samples of normal and late-stage osteoarthritic cartilage of human knee joints were analyzed with use of the Human Cancer 1.2 cDNA-array and TaqMan analysis.
RESULTS: In spite of a large variability of expression levels among different patients, significant expression patterns for many known genes of interest such as cartilage matrix proteins (e.g., collagen types II, VI, and XI; aggrecan; decorin; biglycan) and matrix-degrading proteases were detected. Of the latter, MMP-3 appeared to be strongly expressed in normal and early degenerative cartilage and downregulated in the late disease stages. This indicates that, in the late stages of cartilage degeneration, other degradation pathways might be more important, for example, those involving enzymes such as MMP-2 and MMP-13, both of which were upregulated in late-stage disease.
CONCLUSION: Most results have to be considered to be preliminary to a certain degree, as technical tools and interpretation approaches are still emerging and need more validation. Clearly, there is a major challenge to distill information and knowledge out of the obtained mass of data. However, these data will be one basis of a new world of biological understanding. These new insights will be network-based and no longer molecule-centered. Today, molecules have a biochemical and physiological context; tomorrow, biological networks will have molecules as constituents.

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Year:  2003        PMID: 12721354     DOI: 10.2106/00004623-200300002-00016

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  16 in total

1.  Micromechanical mapping of early osteoarthritic changes in the pericellular matrix of human articular cartilage.

Authors:  R E Wilusz; S Zauscher; F Guilak
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Review 2.  Osteoarthritis as a disease of the cartilage pericellular matrix.

Authors:  Farshid Guilak; Robert J Nims; Amanda Dicks; Chia-Lung Wu; Ingrid Meulenbelt
Journal:  Matrix Biol       Date:  2018-05-22       Impact factor: 11.583

3.  MMP-13 is one of the critical mediators of the effect of HDAC4 deletion on the skeleton.

Authors:  Teruyo Nakatani; Tiffany Chen; Nicola C Partridge
Journal:  Bone       Date:  2016-06-16       Impact factor: 4.398

Review 4.  A systems biology approach to synovial joint lubrication in health, injury, and disease.

Authors:  Alexander Y Hui; William J McCarty; Koichi Masuda; Gary S Firestein; Robert L Sah
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-08-08

5.  Phenotypic characterization of epiphycan-deficient and epiphycan/biglycan double-deficient mice.

Authors:  S Nuka; W Zhou; S P Henry; C M Gendron; J B Schultz; T Shinomura; J Johnson; Y Wang; D R Keene; R Ramírez-Solis; R R Behringer; M F Young; M Höök
Journal:  Osteoarthritis Cartilage       Date:  2009-11-18       Impact factor: 6.576

Review 6.  The structure and function of the pericellular matrix of articular cartilage.

Authors:  Rebecca E Wilusz; Johannah Sanchez-Adams; Farshid Guilak
Journal:  Matrix Biol       Date:  2014-08-27       Impact factor: 11.583

7.  Epigenetic regulation of leptin affects MMP-13 expression in osteoarthritic chondrocytes: possible molecular target for osteoarthritis therapeutic intervention.

Authors:  D Iliopoulos; K N Malizos; A Tsezou
Journal:  Ann Rheum Dis       Date:  2007-05-14       Impact factor: 19.103

8.  Developmental mechanisms in articular cartilage degradation in osteoarthritis.

Authors:  Elena V Tchetina
Journal:  Arthritis       Date:  2010-12-29

9.  A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data.

Authors:  Anna L Swan; Dov J Stekel; Charlie Hodgman; David Allaway; Mohammed H Alqahtani; Ali Mobasheri; Jaume Bacardit
Journal:  BMC Genomics       Date:  2015-01-15       Impact factor: 3.969

10.  Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning.

Authors:  Anna L Swan; Kirsty L Hillier; Julia R Smith; David Allaway; Susan Liddell; Jaume Bacardit; Ali Mobasheri
Journal:  BMC Musculoskelet Disord       Date:  2013-12-13       Impact factor: 2.362

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