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Bioinformatics and cellular signaling.

Jason Papin1, Shankar Subramaniam

  • 1Department of Bioengineering, University of California at San Diego, La Jolla, CA 92037, USA.

Current Opinion in Biotechnology
|April 23, 2004
PubMed
Summary
This summary is machine-generated.

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Understanding cellular function needs integrated, context-specific data. New methods analyze genomic and proteomic interactions, aiding cellular signaling network reconstruction.

Area of Science:

  • Cellular biology
  • Systems biology
  • Bioinformatics

Background:

  • Cellular function understanding relies on analyzing complex, context-specific, spatiotemporal data from multiple sources.
  • Recent technological advancements have enabled detailed characterization of cellular components and their interactions.

Purpose of the Study:

  • To review recent advances in analyzing cellular components and their interrelationships.
  • To highlight the importance of integrated data analysis for understanding cellular signaling networks.

Main Methods:

  • Genome-wide location analysis
  • Development of standards for microarray data analysis
  • Application of two-hybrid and mass spectrometry techniques

Main Results:

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  • Progress in cataloging the cell's genomic and proteomic 'parts list'.
  • Improved methods for deciphering the interrelationships between cellular components.
  • Establishment of databases like the Alliance for Cellular Signaling (AfCS) Molecule Pages for data curation.

Conclusions:

  • Integrated analysis of diverse, context-specific data is crucial for understanding cellular function.
  • Databases curating molecular and interaction data are essential tools for reconstructing and analyzing cellular signaling networks.