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Related Experiment Videos

Constructing transcriptional regulatory networks.

Alexandre Blais1, Brian David Dynlacht

  • 1Department of Pathology, New York University Cancer Institute, New York University School of Medicine, New York, New York 10016, USA.

Genes & Development
|July 7, 2005
PubMed
Summary

Researchers are deciphering complex biological networks by studying transcriptional regulatory networks. Advances in molecular and computational biology enable mapping gene expression and protein-DNA interactions to understand cellular behavior.

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Area of Science:

  • Molecular Biology
  • Computational Biology
  • Systems Biology

Background:

  • Biological networks represent molecular interactions within cells, crucial for understanding cellular behavior.
  • Transcriptional regulatory networks (TRNs) detail gene expression based on protein-DNA interactions.
  • Recent advancements facilitate the study of complex TRNs.

Purpose of the Study:

  • To review the properties of transcriptional regulatory networks.
  • To discuss evolving approaches for elucidating TRN structure and dynamics.
  • To highlight how integrated methods construct cellular process blueprints.

Main Methods:

  • Chromatin immunoprecipitation (ChIP)-on-chip assays.
  • Gene expression profiling techniques.

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  • Computational modeling and analysis.

    • Main Results:

    • Complementary approaches combine experimental and computational data.
    • Construction of detailed blueprints for cellular processes like cell cycle and differentiation.
    • Enabling the elucidation of complete transcriptional regulatory codes.

    Conclusions:

    • Integrated methods are key to understanding TRN structure and function.
    • These approaches are applicable to both yeast and mammalian systems.
    • Future research aims to fully map transcriptional regulatory codes.