attachment:TRANSPATH_database/transpath.jpg TRANSPATH databases - 생물학적 공정에서 intracellular signaling 및 protein-protein interactions은 모든 유전자의 발현 연구의 핵심입니다. TRANSPATH®는 다양한 chip 실험으로 일차적인 발현 양상 확인 후 이차적인 조절 메커니즘 연구를 위한 고품질의 데이터를 제공합니다. 논문 및 실험정보를 근거로 전문가들의 신뢰성 높은 대사 및 반응 경로에 관계된 신호전달물질, 대사 효소, 이차 메신저, 내분비 효소, MiRNAs 및 반응 기작에 대한 통합적 정보를 제공합니다.











Features

  • High quality data : manually curated by experts from peer-reviewed publications with quarterly releases

  • Comfortable entry points : clickable maps, browse and classification of signaling molecules with predefined pathways, and advanced search engine

  • Experimental evidence : methodology as well as organ/tissue/cell line in-formation are provided with quality and confidence assignments

  • Post-translational modifications and multisubunit complexes : Post-translational modifications and multisubunit complexes are part of the reactions and are extensively documented

  • Expert knowledge : hierarchies of molecules and reactions, pre-defined pathways

  • Interactive tools : for visualization and analysis of networks

  • Integration with TRANSFAC® : includes gene expression events as integral parts of signaling cascades

  • Intergration with HUMANPSD™ : enhances the content ofprotein molecules and interactions and classifies genes and proteins according to diseases

  • Extensive interlinkage : interconnected with a large num-ber of external standard databases

  • Modules

    • PathwayBuilder: visualize any part of the overall gene network starting with any molecule or reaction

    • ArrayAnalyzer: identify common key regulators in the signaling network which can serve as drug targets

Applications

  • attachment:TRANSPATH_database/transpath_expression.jpg

    {i} Analyzing of gene expression


    TRANSPATH focuses on crosstalk between metabolic and signaling pathways as well as on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. {isg}

    attachment:TRANSPATH_database/network.jpg

    {i} Prediction of gene network


    The data are well structured with hierarchies of molecules and reactions. Experimentally proven and abstracted reactions with high connectivity are provided. This allows both specific or more general searches depending on your needs. Well evidenced chains of reactions are summarized to predefined pathways distinguishable from the more predictive connections.{isg}

    attachment:TRANSPATH_database/microarray.jpg

    {i} Analysis of microarray data


    The sophisticated tools in TRANSPATH®, PathwayBuilder™ and ArrayAnalyzer™, allow in-depth visualization and analysis of pathways. The researcher will be able to deduce meaningful interpretation of microarray data.{isg}

    attachment:TRANSPATH_database/signaling.jpg

    {i} Studying of signal transduction pathway


    TRANSPATH® is an indispensable resource to study regularities of signal transduction networks.{isg}
  • Benefits

    1. Saves time by allowing the user to systematically access collected and classified data about signal transduction otherwise dispersed through the scientific literature
    2. Significantly reduces research efforts required for identifying signa-ling events upstream or downstream of particular molecules or genes
    3. Increases the efficiency of interpretation of experimental results
    4. Significantly reduces the number of potential target molecules for further experimental investigations (hypothesis-driven research)
    5. Permits batch searches by EMBL, SwissProt, EntrezGene IDs as well as Affymetrix Chip IDs

    6. Provides knowledge crucial for the identification and validation of drug targets
    7. Easy navigation to other interconnected resources (TRANSFAC® on transcription regu-lation, HumanPSD™)
  • References

    1. Krull, M., Pistor, S., Voss, N., Kel, A., Reuter, I., Kronenberg, D., Michael, H., Schwarzer, K., Potapov, A., Choi, C., Kel-Margoulis, O., Wingender, E. TRANSPATH®: An Information Resource for Storing and Visualizing Signaling Pathways and their Pathological AbberationsNucleic Acids Res. 34, (2006).

    2. Choi, C., Krull, M., Kel, A., Kel-Margoulis, O., Pistor, S., Potapov, A., Voss, N., Wingender, E.TRANSPATH®: a high quality database focused on signal transduction Comp. Funct. Genom. 5, 163-168 (2004).

TRANSPATH_database (last edited 2012-03-17 17:22:30 by localhost)










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