Oncotarget

Research Papers:

Quantitative network mapping of the human kinome interactome reveals new clues for rational kinase inhibitor discovery and individualized cancer therapy

Feixiong Cheng, Peilin Jia, Quan Wang, Zhongming Zhao _

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Oncotarget. 2014; 5:3697-3710. doi: 10.18632/oncotarget.1984

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Abstract

Feixiong Cheng1, Peilin Jia1,2, Quan Wang1, Zhongming Zhao1,2,3,4

1 Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA

2 Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA

3 Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA

4 Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, USA

Correspondence:

Zhongming Zhao, email:

Keywords: Kinome, kinase-substrate interaction, phosphorylation, interactome, resistance, systems biology

Received: March 7, 2014 Accepted: May 16, 2014 Published: May 18, 2014

Abstract

The human kinome is gaining importance through its promising cancer therapeutic targets, yet no general model to address the kinase inhibitor resistance has emerged. Here, we constructed a systems biology-based framework to catalogue the human kinome, including 538 kinase genes, in the broader context of the human interactome. Specifically, we constructed three networks: a kinase-substrate interaction network containing 7,346 pairs connecting 379 kinases to 36,576 phosphorylation sites in 1,961 substrates, a protein-protein interaction network (PPIN) containing 92,699 pairs, and an atomic resolution PPIN containing 4,278 pairs. We identified the conserved regulatory phosphorylation motifs (e.g., Ser/Thr-Pro) using a sequence logo analysis. We found the typical anticancer target selection strategy that uses network hubs as drug targets, might lead to a high adverse drug reaction risk. Furthermore, we found the distinct network centrality of kinases creates a high anticancer drug resistance risk by feedback or crosstalk mechanisms within cellular networks. This notion is supported by the systematic network and pathway analyses that anticancer drug resistance genes are significantly enriched as hubs and heavily participate in multiple signaling pathways. Collectively, this comprehensive human kinome interactome map sheds light on anticancer drug resistance mechanisms and provides an innovative resource for rational kinase inhibitor design.

Author Information

Feixiong Cheng

Peilin Jia

Quan Wang

Zhongming Zhao
Primary Contact  _


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