Literature DB >> 16669454

Identification of genes preferentially expressed in articular cartilage by suppression subtractive hybridization.

Masayuki Yoshimi1, Osamu Miyaishi, Sayaka Nakamura, Shin-Ichi Shirasawa, Hideaki Kamochi, Seiji Miyatani, Yoji Ikawa, Tamayuki Shinomura.   

Abstract

Suppression subtractive hybridization is very effective to enrich differentially expressed genes in two different tissues or cells. We therefore used the technique to identify characteristic genes expressed in rat knee joint articular cartilage as compared to rat costal cartilage. In this study, we revealed that several genes were enriched in a subtracted articular cartilage cDNA library. The most enriched gene is lubricin that is a putative key molecule for joint lubrication. The second gene is milk fat globule epidermal growth factor (EGF) factor 8, MFG-E8 whose expression has never been observed in cartilage. Other enriched genes are known to be expressed in cartilage, however their differential expressions in cartilages have not been necessarily common. The preferential expression of characteristic genes in articular cartilage would provide unique properties to the tissue. Our findings will provide a new view of articular cartilage.

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Year:  2005        PMID: 16669454

Source DB:  PubMed          Journal:  J Med Dent Sci        ISSN: 1342-8810


  3 in total

1.  Comparative proteomic analysis of normal and collagen IX null mouse cartilage reveals altered extracellular matrix composition and novel components of the collagen IX interactome.

Authors:  Bent Brachvogel; Frank Zaucke; Keyur Dave; Emma L Norris; Jacek Stermann; Münire Dayakli; Manuel Koch; Jeffrey J Gorman; John F Bateman; Richard Wilson
Journal:  J Biol Chem       Date:  2013-03-24       Impact factor: 5.157

2.  Inducing articular cartilage phenotype in costochondral cells.

Authors:  Meghan K Murphy; Grayson D DuRaine; A Reddi; Jerry C Hu; Kyriacos A Athanasiou
Journal:  Arthritis Res Ther       Date:  2013       Impact factor: 5.156

3.  Omics technologies provide new insights into the molecular physiopathology of equine osteochondrosis.

Authors:  Clémence Desjardin; Julie Riviere; Anne Vaiman; Caroline Morgenthaler; Mathieu Diribarne; Michel Zivy; Céline Robert; Laurence Le Moyec; Laurence Wimel; Olivier Lepage; Claire Jacques; Edmond Cribiu; Laurent Schibler
Journal:  BMC Genomics       Date:  2014-10-31       Impact factor: 3.969

  3 in total

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