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Phenotyping of Chondrocytes In Vivo and In Vitro Using cDNA Array Technology




The cDNA array technology is a powerful tool to analyze a high number of genes in parallel. We investigated whether large-scale gene expression analysis allows clustering and identification of cellular phenotypes of chondrocytes in different in vivo and in vitro conditions. In 100% of cases, clustering analysis distinguished between in vivo and in vitro samples, suggesting fundamental differences in chondrocytes in situ and in vitro regardless of the culture conditions or disease status. It also allowed us to differentiate between healthy and osteoarthritic cartilage. The clustering also revealed the relative importance of the investigated culturing conditions (stimulation agent, stimulation time, bead/monolayer). We augmented the cluster analysis with a statistical search for genes showing differential expression. The identified genes provided hints to the molecular basis of the differences between the sample classes. Our approach shows the power of modern bioinformatic algorithms for understanding and class ifying chondrocytic phenotypes in vivo and in vitro. Although it does not generate new experimental data per se, it provides valuable information regarding the biology of chondrocytes and may provide tools for diagnosing and staging the osteoarthritic disease process.

Author(s): Zien, A. and Gebhard, PM. and Fundel, K. and Aigner, T.
Journal: Clinical Orthopaedics and Related Research
Volume: 460
Pages: 226-233
Year: 2007
Month: July
Day: 0

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1097/BLO.0b013e318047976a
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik


  title = {Phenotyping of Chondrocytes In Vivo and In Vitro Using cDNA Array Technology},
  author = {Zien, A. and Gebhard, PM. and Fundel, K. and Aigner, T.},
  journal = {Clinical Orthopaedics and Related Research},
  volume = {460},
  pages = {226-233},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jul,
  year = {2007},
  month_numeric = {7}