Literature DB >> 18276170

Gene expression profiling of chondrocytes from a porcine impact injury model.

M S Ashwell1, A T O'Nan, M G Gonda, P L Mente.   

Abstract

OBJECTIVE: To identify differentially expressed genes between axially impacted and control articular cartilage taken from porcine patellae maintained in organ culture for 14 days.
METHODS: Porcine patellae were impacted perpendicular to the articular surface to create an impact injury. Intact patellae (control and impacted) were maintained in culture for 14 days. Total RNA was then extracted from the articular cartilage beneath the impaction and used to prepare two Serial Analysis of Gene Expression (SAGE) libraries. Approximately 42,500 SAGE long tags were sequenced from the libraries. The expression of select genes was confirmed by quantitative real-time PCR analysis.
RESULTS: Thirty-nine SAGE tags were significantly differentially expressed in the impacted and control libraries, representing 30 different annotated pig genes. These genes represented gene products associated with matrix molecules, iron and phosphate transport, protein biosynthesis, skeletal development, cell proliferation, lipid metabolism and the inflammatory response. Twenty-three of the 30 genes were down-regulated in the impacted library and five were up-regulated in the impacted library. Quantitative real-time PCR follow-up of four genes supported the results found with SAGE.
CONCLUSION: We have identified 30 putative genes differentially expressed in a porcine impact injury model and validated these findings for four of these genes using real-time PCR. Results using this impact injury model have contributed further evidence that damaged chondrocytes may de-differentiate into fibroblast-like cells and proliferate in an attempt to repair themselves. Additional work is underway to study these genes in further detail at earlier time points to provide a more complete story about the fate of chondrocytes in articular cartilage following an injury.

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Year:  2008        PMID: 18276170     DOI: 10.1016/j.joca.2007.12.012

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  7 in total

1.  Changes in chondrocyte gene expression following in vitro impaction of porcine articular cartilage in an impact injury model.

Authors:  Melissa S Ashwell; Michael G Gonda; Kent Gray; Christian Maltecca; Audrey T O'Nan; Joseph P Cassady; Peter L Mente
Journal:  J Orthop Res       Date:  2012-10-01       Impact factor: 3.494

2.  Distinct degenerative phenotype of articular cartilage from knees with meniscus tear compared to knees with osteoarthritis.

Authors:  M F Rai; E D Tycksen; L Cai; J Yu; R W Wright; R H Brophy
Journal:  Osteoarthritis Cartilage       Date:  2019-02-21       Impact factor: 6.576

3.  Apolipoprotein D as a Potential Biomarker and Construction of a Transcriptional Regulatory-Immune Network Associated with Osteoarthritis by Weighted Gene Coexpression Network Analysis.

Authors:  Yong Qin; Jia Li; Yonggang Zhou; Chengliang Yin; Yi Li; Ming Chen; Yinqiao Du; Tiejian Li; Jinglong Yan
Journal:  Cartilage       Date:  2021-10-31       Impact factor: 3.117

4.  Identification of stable normalization genes for quantitative real-time PCR in porcine articular cartilage.

Authors:  Ryan S McCulloch; Melissa S Ashwell; Audrey T O'Nan; Peter L Mente
Journal:  J Anim Sci Biotechnol       Date:  2012-11-12

5.  A Study of the Wound Healing Mechanism of a Traditional Chinese Medicine, Angelica sinensis, Using a Proteomic Approach.

Authors:  Chia-Yen Hsiao; Ching-Yi Hung; Tung-Hu Tsai; Kin-Fu Chak
Journal:  Evid Based Complement Alternat Med       Date:  2012-03-25       Impact factor: 2.629

6.  Progression of Gene Expression Changes following a Mechanical Injury to Articular Cartilage as a Model of Early Stage Osteoarthritis.

Authors:  R S McCulloch; M S Ashwell; C Maltecca; A T O'Nan; P L Mente
Journal:  Arthritis       Date:  2014-11-16

7.  Regional Differential Genetic Response of Human Articular Cartilage to Impact Injury.

Authors:  Lauren L Vernon; Danica D Vance; Liyong Wang; Evadnie Rampersaud; Jeffery M Vance; Margaret Pericak-Vance; C-Y Charles Huang; Lee D Kaplan
Journal:  Cartilage       Date:  2015-11-30       Impact factor: 4.634

  7 in total

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