Microarray analysis of the chondrocytic cell line T/C-28a2 under dynamic fluid shear

J. P. Abulencia, R. Gaspard, J. Quackenbush, K. Konstantopoulos

Research output: Contribution to journalConference articlepeer-review

Abstract

The behavior of the chondrocytic cell line T/C-28a2 under shear flow was examined using a 32,448 element microarray. A parallel plate flow chamber was used to generate a shear stress level of 20 dyn/cm2 for 1.5 or 24 hours (h), after which gene regulation was measured. Microarray analysis revealed differentially regulated genes affecting proliferation/differentiation, extracellular matrix/cytoskeleton, and inflammation at both time points. A Ribonuclease Protection Assay was performed on a subset of genes to confirm the data obtained from the microarray. However, the cyclooxygenase-2 (COX-2) gene, which plays a role in the prostaglandin production in inflamed tissues and the synovium of rheumatoid arthritis (RA) patients, was studied further. Western hybridization revealed that COX-2 protein is present at 24h, but not at 6 or 12h. Also, immunofluoresence microscopy shows that COX-2 protein localizes in the cytosol after 24h of shear, and is not present after 1.5h. By examining the overall gene expression profiles of chondrocytes under different conditions of dynamic fluid shear, new insights on the pathogenesis of cartilage related diseases such as rheumatoid arthritis might be generated.

Original languageEnglish (US)
Pages (from-to)654-655
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - Dec 1 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Keywords

  • Chondrocytes
  • Cyclooxygenase-2
  • Shear stress

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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