Robustness and backbone motif of a cancer network regulated by miR-17-92 cluster during the G1/S transition

PLoS One. 2013;8(3):e57009. doi: 10.1371/journal.pone.0057009. Epub 2013 Mar 1.

Abstract

Based on interactions among transcription factors, oncogenes, tumor suppressors and microRNAs, a Boolean model of cancer network regulated by miR-17-92 cluster is constructed, and the network is associated with the control of G1/S transition in the mammalian cell cycle. The robustness properties of this regulatory network are investigated by virtue of the Boolean network theory. It is found that, during G1/S transition in the cell cycle process, the regulatory networks are robustly constructed, and the robustness property is largely preserved with respect to small perturbations to the network. By using the unique process-based approach, the structure of this network is analyzed. It is shown that the network can be decomposed into a backbone motif which provides the main biological functions, and a remaining motif which makes the regulatory system more stable. The critical role of miR-17-92 in suppressing the G1/S cell cycle checkpoint and increasing the uncontrolled proliferation of the cancer cells by targeting a genetic network of interacting proteins is displayed with our model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cell Cycle Proteins / genetics*
  • Cell Cycle Proteins / metabolism
  • G1 Phase Cell Cycle Checkpoints
  • Gene Expression Regulation, Neoplastic*
  • Gene Regulatory Networks*
  • Humans
  • MicroRNAs / genetics*
  • MicroRNAs / metabolism
  • Models, Genetic*
  • Neoplasm Proteins / genetics*
  • Neoplasm Proteins / metabolism
  • Neoplasms / genetics*
  • Neoplasms / metabolism
  • Oncogenes
  • RNA, Long Noncoding
  • Transcription Factors / genetics
  • Transcription Factors / metabolism

Substances

  • Cell Cycle Proteins
  • MIR17HG, human
  • MicroRNAs
  • Neoplasm Proteins
  • RNA, Long Noncoding
  • Transcription Factors

Grants and funding

This work was supported by the state key development programme for Basic research of China (2011CBA01103) to GS, the National Natural Science Foundation of China under 11105058 (LJY), 81171074 (GS), 11105059(ZX), 11175068 (YJ), and the self-determined research funds of CCNU from the colleges' basic research and operation of Ministry of Education: No. CCNU12A01011 (ZX). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.