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Related Experiment Videos

Functional genomics approaches in arthritis.

Mukundan G Attur1, Mandar N Dave, Ashok R Amin

  • 1Departments of Rheumatology and Medicine, Hospital for Joint Diseases/NYU School of Medicine, 301 East 17th Street, New York, NY 10003, USA.

American Journal of Pharmacogenomics : Genomics-Related Research in Drug Development and Clinical Practice
|February 28, 2004
PubMed
Summary

Genomic tools are revolutionizing complex disease research, bridging clinical data with causative factors. This approach aids in identifying novel therapeutic targets and diagnostic markers for diseases like arthritis.

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Area of Science:

  • Genomics and Translational Medicine
  • Complex Disease Etiology
  • Functional Genomics

Background:

  • Complex diseases like arthritis have elusive etiological agents, hindering effective treatment development.
  • The post-genomic era provides unprecedented tools for analyzing genetic data from small clinical samples.
  • High-throughput gene mining generates vast amounts of clinically correlative data.

Purpose of the Study:

  • To bridge the gap between clinically correlative and causative data for complex diseases.
  • To leverage genomic approaches for target validation and identification of novel disease markers.
  • To facilitate the development of unbiased molecular-level hypotheses.

Main Methods:

  • Utilizing high-throughput gene mining enabled by annotated genome sequences and advanced technologies.

Related Experiment Videos

  • Employing genomic tools for analyzing minute amounts of human and animal cells and tissues.
  • Integrating in silico gene expression arrays, genome-wide scans, comparative genomics, and bioinformatics.
  • Reverting to hypothesis-driven experimental biology for characterizing correlative/causative genes.

    • Main Results:

    • Genomic tools enable analysis of small surgical and clinical samples within a whole-genome context.
    • Preliminary genomic analysis in osteoarthritis has reignited debates on inflammation definitions.
    • The approach facilitates the identification and characterization of novel targets and disease markers.

    Conclusions:

    • Genomic approaches are essential for understanding complex disease mechanisms and identifying therapeutic targets.
    • This strategy aids in the development of novel pharmacological interventions, gene therapy, and diagnostic tools.
    • Further genomic analyses will refine our understanding of disease pathogenesis and lead to improved patient outcomes.