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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays

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Application of computational approaches to study signalling networks of nuclear and Tyrosine kinase receptors

Mouna Choura1, Ahmed Rebaï

  • 1Molecular and Cellular Diagnosis Processes, Centre of Biotechnology of Sfax, Route Sidi Mansour, Sfax, Tunisia.

Biology Direct
|October 13, 2010
PubMed
Abstract

Insights

We mapped the signaling network of nuclear receptors (NRs) and receptor tyrosine kinases (RTKs), revealing key hubs and interactions. The NR-RTK database offers a comprehensive resource for studying crosstalk in diseases like cancer.

Area of Science:

  • Cellular signaling pathways
  • Molecular biology
  • Systems biology

Background:

  • Nuclear receptors (NRs) and receptor tyrosine kinases (RTKs) are crucial in cellular processes.
  • Gene variations in NRs and RTKs are linked to diseases, including cancer.
  • Direct coupling and crosstalk between NR and RTK signaling pathways are not fully understood, especially concerning cell membrane functions.

Purpose of the Study:

  • To construct a human signaling network of NRs and RTKs.
  • To develop an integrated knowledge database (NR-RTK database) for these receptors and their interactions.
  • To identify key signaling hubs and potential crosstalk mechanisms.

Main Methods:

  • Construction of a human signaling network integrating NRs and RTKs.
  • Development of the NR-RTK database using computational inference and literature evidence.
  • Analysis of network topology and identification of highly connected hubs.

Main Results:

  • A human signaling network with eleven highly connected hubs was identified.
  • The NR-RTK database was created, cataloging human NRs, RTKs, their vertebrate orthologs, and interactions.
  • The interaction network exhibits a scale-free topology, and key signal-transducing receptors were uncovered.

Conclusions:

  • The NR-RTK interaction network demonstrates a scale-free topology.
  • Key receptors mediating signal transduction between NRs and RTKs have been identified.
  • The NR-RTK database serves as a valuable resource for researchers investigating NR and RTK signaling.

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