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A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Simplistic pathways or complex networks?

Claus Jørgensen1, Rune Linding

  • 1Cell Communication Team, The Institute of Cancer Research, Section of Cell and Molecular Biology, SW3 6JB, London, UK. jorgensen@icr.ac.uk

Current Opinion in Genetics & Development
|January 26, 2010
PubMed

Insights

Cellular signaling networks are complex and dynamic, not linear cascades. Genomic alterations in cancer disrupt these networks, impacting cell function and requiring network-level analysis for understanding signal processing.

Area of Science:

  • Cellular Biology
  • Systems Biology
  • Cancer Research

Background:

  • Signaling events are often oversimplified as linear cascades in textbooks.
  • Real cellular signaling involves dynamic, context-specific networks of molecules.
  • Cancer involves genomic alterations that profoundly affect cellular signaling networks.

Purpose of the Study:

  • To assess the impact of genomic alterations on signaling network structure and dynamics.
  • To understand how cancer affects the translation of environmental cues into cellular responses.
  • To review network-level approaches for studying signal processing in cancer.

Main Methods:

  • Network-level analysis of cellular signaling.
  • Integration of data from various technologies and computational approaches.
  • Comparative studies of signaling in cancer versus normal cells.

Main Results:

  • Recent advances enable network studies of signaling events.
  • New insights into the structure and dynamics of signaling networks in cancer.
  • Understanding of altered signal processing in cancer cells.

Conclusions:

  • Network-level studies are crucial for understanding signaling in disease.
  • Genomic alterations in cancer significantly remodel signaling networks.
  • Advanced technologies and computational methods are key to studying cancer signal processing.

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