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cDNA-Microarray Technology in Cartilage Research - Functional Genomics of Osteoarthritis [in German]




Functional genomics represents a new challenging approach in order to analyze complex diseases such as osteoarthritis on a molecular level. The characterization of the molecular changes of the cartilage cells, the chondrocytes, enables a better understanding of the pathomechanisms of the disease. In particular, the identification and characterization of new target molecules for therapeutic intervention is of interest. Also, potential molecular markers for diagnosis and monitoring of osteoarthritis contribute to a more appropriate patient management. The DNA-microarray technology complements (but does not replace) biochemical and biological research in new disease-relevant genes. Large-scale functional genomics will identify molecular networks such as yet identified players in the anabolic-catabolic balance of articular cartilage as well as disease-relevant intracellular signaling cascades so far rather unknown in articular chondrocytes. However, at the moment it is also important to recognize the limitations of the microarray technology in order to avoid over-interpretation of the results. This might lead to misleading results and prevent to a significant extent a proper use of the potential of this technology in the field of osteoarthritis.

Author(s): Aigner, T. and Finger, F. and Zien, A. and Bartnik, E.
Journal: Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete
Volume: 142
Number (issue): 2
Pages: 241-247
Year: 2004
Month: April
Day: 0

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

Digital: 0
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik


  title = {cDNA-Microarray Technology in Cartilage Research - Functional Genomics of Osteoarthritis [in German]},
  author = {Aigner, T. and Finger, F. and Zien, A. and Bartnik, E.},
  journal = {Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete},
  volume = {142},
  number = {2},
  pages = {241-247},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2004},
  month_numeric = {4}