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Related Experiment Videos

IMGT/GeneInfo: enhancing V(D)J recombination database accessibility.

Thierry-Pascal Baum1, Nicolas Pasqual, Florence Thuderoz

  • 1Laboratoire TIMC-IMAG-CNRS UMR 5525, Techniques de l'Imagerie, de la Modélisation et de la Cognition, Université Joseph Fourier, Grenoble 1, Faculté de Médecine, Domaine de la Merci, 38706 La Tronche, France. tpbaum@imag.fr

Nucleic Acids Research
|December 19, 2003
PubMed
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IMGT/GeneInfo offers a novel way to visualize immunoglobulin (IG) and T cell receptor (TR) V(D)J recombination data. This system aids in understanding gene rearrangements and may help predict disease-related profiles.

Area of Science:

  • Immunoinformatics
  • Molecular Biology
  • Genetics

Background:

  • Immunoglobulin (IG) and T cell receptor (TR) V(D)J recombination are complex genetic processes crucial for adaptive immunity.
  • Existing resources for studying these recombinations often lack integrated visualization tools.
  • The ImMunoGeneTics (IMGT) information system is a comprehensive resource for immune system genetics.

Purpose of the Study:

  • To introduce IMGT/GeneInfo, a user-friendly online system for visualizing IG and TR V(D)J recombination data.
  • To provide a single-page visualization of all rearrangement parameters for IG and TR genes.
  • To integrate external data and tools into the existing IMGT framework.

Main Methods:

  • Development of the IMGT/GeneInfo online information system.

Related Experiment Videos

  • Focus on human and mouse TRA/TRD and TRB loci for T cell receptors.
  • Complementary data handling and visualization tools to the IMGT database.
  • Main Results:

    • First-time visualization of all V(D)J recombination parameters on a single page.
    • Successful integration of an external system (IMGT/GeneInfo) into the IMGT framework.
    • IMGT/GeneInfo_TR now available for human and mouse TRA/TRD and TRB loci.

    Conclusions:

    • IMGT/GeneInfo enhances the study of V(D)J recombination by providing unprecedented visualization capabilities.
    • The system's data handling and visualization complement existing IMGT resources.
    • Future applications include modeling V(D)J gene use and predicting non-standard recombination profiles in diseases like leukemia and lymphoma.