A systems biology approach to identify affected regulatory and signaling circuits in protein interaction networks

Ting Gong, Jianhua Xuan, Rebecca B. Reggins, Robert Clarke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Microarray technology and high-throughput proteomics have revolutionized cancer biology by generating vast amount of data for various cancers. To gain insights into the biological processes that drive breast cancer recurrence, we integrate gene expression profiles of breast cancer and protein interaction networks in search for affected regulatory and signaling networks statistically associated with endocrine resistance. To perform this integration systematically, we introduce a systems biology approach to screen related protein-protein interaction networks for active cliques, i.e., connected regions of the network that show significant changes in expression between recurrent and non-recurrent tumors. The experimental results from two breast cancer data sets show that the identified sub-networks can be effectively used to stratify patients treated with endocrine into groups with different outcomes. More importantly, the sub-networks can further help us gain mechanistic insights into estrogen action and endocrine resistance.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
Pages297-300
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009 - Shanghai, China
Duration: Aug 3 2009Aug 5 2009

Publication series

NameProceedings - 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009

Conference

Conference2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009
CountryChina
CityShanghai
Period8/3/098/5/09

Keywords

  • Breast cancer
  • Endocrine resistance
  • Gene expression profiling
  • Protein-protein interactions
  • Systems biology

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