Literature DB >> 27939638

Proteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes.

Qiancheng Shen1, Feixiong Cheng2, Huili Song1, Weiqiang Lu3, Junfei Zhao4, Xiaoli An1, Mingyao Liu3, Guoqiang Chen1, Zhongming Zhao5, Jian Zhang6.   

Abstract

The allosteric regulation triggering the protein's functional activity via conformational changes is an intrinsic function of protein under many physiological and pathological conditions, including cancer. Identification of the biological effects of specific somatic variants on allosteric proteins and the phenotypes that they alter during tumor initiation and progression is a central challenge for cancer genomes in the post-genomic era. Here, we mapped more than 47,000 somatic missense mutations observed in approximately 7,000 tumor-normal matched samples across 33 cancer types into protein allosteric sites to prioritize the mutated allosteric proteins and we tested our prediction in cancer cell lines. We found that the deleterious mutations identified in cancer genomes were more significantly enriched at protein allosteric sites than tolerated mutations, suggesting a critical role for protein allosteric variants in cancer. Next, we developed a statistical approach, namely AlloDriver, and further identified 15 potential mutated allosteric proteins during pan-cancer and individual cancer-type analyses. More importantly, we experimentally confirmed that p.Pro360Ala on PDE10A played a potential oncogenic role in mediating tumorigenesis in non-small cell lung cancer (NSCLC). In summary, these findings shed light on the role of allosteric regulation during tumorigenesis and provide a useful tool for the timely development of targeted cancer therapies.
Copyright © 2017 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27939638      PMCID: PMC5223033          DOI: 10.1016/j.ajhg.2016.09.020

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  67 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Cloning and characterization of a novel human phosphodiesterase that hydrolyzes both cAMP and cGMP (PDE10A).

Authors:  K Fujishige; J Kotera; H Michibata; K Yuasa; S Takebayashi; K Okumura; K Omori
Journal:  J Biol Chem       Date:  1999-06-25       Impact factor: 5.157

3.  Comprehensive assessment of cancer missense mutation clustering in protein structures.

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4.  Principles and strategies for developing network models in cancer.

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5.  Systematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based Approach.

Authors:  Junfei Zhao; Feixiong Cheng; Yuanyuan Wang; Carlos L Arteaga; Zhongming Zhao
Journal:  Mol Cell Proteomics       Date:  2015-12-09       Impact factor: 5.911

6.  ProteinHistorian: tools for the comparative analysis of eukaryote protein origin.

Authors:  John A Capra; Alexander G Williams; Katherine S Pollard
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7.  ASD: a comprehensive database of allosteric proteins and modulators.

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8.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

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Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

9.  Edgetic perturbation models of human inherited disorders.

Authors:  Quan Zhong; Nicolas Simonis; Qian-Ru Li; Benoit Charloteaux; Fabien Heuze; Niels Klitgord; Stanley Tam; Haiyuan Yu; Kavitha Venkatesan; Danny Mou; Venus Swearingen; Muhammed A Yildirim; Han Yan; Amélie Dricot; David Szeto; Chenwei Lin; Tong Hao; Changyu Fan; Stuart Milstein; Denis Dupuy; Robert Brasseur; David E Hill; Michael E Cusick; Marc Vidal
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10.  Quantitative network mapping of the human kinome interactome reveals new clues for rational kinase inhibitor discovery and individualized cancer therapy.

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  20 in total

1.  Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery.

Authors:  Junfei Zhao; Feixiong Cheng; Zhongming Zhao
Journal:  Cancer Res       Date:  2017-03-31       Impact factor: 12.701

Review 2.  Personal Mutanomes Meet Modern Oncology Drug Discovery and Precision Health.

Authors:  Feixiong Cheng; Han Liang; Atul J Butte; Charis Eng; Ruth Nussinov
Journal:  Pharmacol Rev       Date:  2018-12-13       Impact factor: 25.468

3.  A novel allosteric site in casein kinase 2α discovered using combining bioinformatics and biochemistry methods.

Authors:  Hai-Ming Jiang; Jiang-Kai Dong; Kun Song; Tong-Dan Wang; Wen-Kang Huang; Jing-Miao Zhang; Xiu-Yan Yang; Ying Shen; Jian Zhang
Journal:  Acta Pharmacol Sin       Date:  2017-07-27       Impact factor: 6.150

4.  Molecular dynamics simulations on RORγt: insights into its functional agonism and inverse agonism.

Authors:  Cong-Min Yuan; Hai-Hong Chen; Nan-Nan Sun; Xiao-Jun Ma; Jun Xu; Wei Fu
Journal:  Acta Pharmacol Sin       Date:  2019-07-17       Impact factor: 6.150

Review 5.  Recent advances suggest increased influence of selective pressure in allostery.

Authors:  Archana S Bhat; Richard Dustin Schaeffer; Lisa Kinch; Kirill E Medvedev; Nick V Grishin
Journal:  Curr Opin Struct Biol       Date:  2020-04-14       Impact factor: 6.809

6.  AlloMAPS: allosteric mutation analysis and polymorphism of signaling database.

Authors:  Zhen Wah Tan; Wei-Ven Tee; Enrico Guarnera; Lauren Booth; Igor N Berezovsky
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  Novel STAT3 small-molecule inhibitors identified by structure-based virtual ligand screening incorporating SH2 domain flexibility.

Authors:  Ren Kong; Uddalak Bharadwaj; T Kris Eckols; Mikhail Kolosov; Haoyi Wu; Francisco J Santa Cruz-Pavlovich; Alison Shaw; Oluwatomilona I Ifelayo; Hong Zhao; Moses M Kasembeli; Stephen T C Wong; David J Tweardy
Journal:  Pharmacol Res       Date:  2021-04-29       Impact factor: 10.334

8.  Computational Insights into the Interactions between Calmodulin and the c/nSH2 Domains of p85α Regulatory Subunit of PI3Kα: Implication for PI3Kα Activation by Calmodulin.

Authors:  Duan Ni; Dingyu Liu; Jian Zhang; Shaoyong Lu
Journal:  Int J Mol Sci       Date:  2018-01-04       Impact factor: 5.923

9.  New Insights into PI3K Inhibitor Design using X-ray Structures of PI3Kα Complexed with a Potent Lead Compound.

Authors:  Xiuyan Yang; Xi Zhang; Min Huang; Kun Song; Xuefen Li; Meilang Huang; Linghua Meng; Jian Zhang
Journal:  Sci Rep       Date:  2017-11-06       Impact factor: 4.379

10.  An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies.

Authors:  Junfei Zhao; Feixiong Cheng; Peilin Jia; Nancy Cox; Joshua C Denny; Zhongming Zhao
Journal:  Genome Med       Date:  2018-01-29       Impact factor: 11.117

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