Literature DB >> 28344341

Functional variomics and network perturbation: connecting genotype to phenotype in cancer.

Song Yi1, Shengda Lin2, Yongsheng Li1, Wei Zhao1, Gordon B Mills1, Nidhi Sahni1,3.   

Abstract

Proteins interact with other macromolecules in complex cellular networks for signal transduction and biological function. In cancer, genetic aberrations have been traditionally thought to disrupt the entire gene function. It has been increasingly appreciated that each mutation of a gene could have a subtle but unique effect on protein function or network rewiring, contributing to diverse phenotypic consequences across cancer patient populations. In this Review, we discuss the current understanding of cancer genetic variants, including the broad spectrum of mutation classes and the wide range of mechanistic effects on gene function in the context of signalling networks. We highlight recent advances in computational and experimental strategies to study the diverse functional and phenotypic consequences of mutations at the base-pair resolution. Such information is crucial to understanding the complex pleiotropic effect of cancer genes and provides a possible link between genotype and phenotype in cancer.

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Year:  2017        PMID: 28344341      PMCID: PMC6020840          DOI: 10.1038/nrg.2017.8

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  165 in total

1.  SIFT missense predictions for genomes.

Authors:  Robert Vaser; Swarnaseetha Adusumalli; Sim Ngak Leng; Mile Sikic; Pauline C Ng
Journal:  Nat Protoc       Date:  2015-12-03       Impact factor: 13.491

2.  STRUM: structure-based prediction of protein stability changes upon single-point mutation.

Authors:  Lijun Quan; Qiang Lv; Yang Zhang
Journal:  Bioinformatics       Date:  2016-06-17       Impact factor: 6.937

Review 3.  Exploring mechanisms of human disease through structurally resolved protein interactome networks.

Authors:  Robert Fragoza; Hao Ran Lee; Nicolas A Cordero; Jishnu Das; Yu Guo; Michael J Meyer; Tommy V Vo; Xiujuan Wang; Haiyuan Yu
Journal:  Mol Biosyst       Date:  2014-01

4.  Highly recurrent TERT promoter mutations in human melanoma.

Authors:  Franklin W Huang; Eran Hodis; Mary Jue Xu; Gregory V Kryukov; Lynda Chin; Levi A Garraway
Journal:  Science       Date:  2013-01-24       Impact factor: 47.728

5.  Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9.

Authors:  Dominik Paquet; Dylan Kwart; Antonia Chen; Andrew Sproul; Samson Jacob; Shaun Teo; Kimberly Moore Olsen; Andrew Gregg; Scott Noggle; Marc Tessier-Lavigne
Journal:  Nature       Date:  2016-04-27       Impact factor: 49.962

Review 6.  Point mutations in the RUNX1/AML1 gene: another actor in RUNX leukemia.

Authors:  Motomi Osato
Journal:  Oncogene       Date:  2004-05-24       Impact factor: 9.867

7.  CanDrA: cancer-specific driver missense mutation annotation with optimized features.

Authors:  Yong Mao; Han Chen; Han Liang; Funda Meric-Bernstam; Gordon B Mills; Ken Chen
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

8.  GWAS3D: Detecting human regulatory variants by integrative analysis of genome-wide associations, chromosome interactions and histone modifications.

Authors:  Mulin Jun Li; Lily Yan Wang; Zhengyuan Xia; Pak Chung Sham; Junwen Wang
Journal:  Nucleic Acids Res       Date:  2013-05-30       Impact factor: 16.971

9.  Regulation of the PI3K pathway through a p85α monomer-homodimer equilibrium.

Authors:  Lydia W T Cheung; Katarzyna W Walkiewicz; Tabot M D Besong; Huifang Guo; David H Hawke; Stefan T Arold; Gordon B Mills
Journal:  Elife       Date:  2015-07-29       Impact factor: 8.140

10.  Mutational heterogeneity in cancer and the search for new cancer-associated genes.

Authors:  Michael S Lawrence; Petar Stojanov; Paz Polak; Gregory V Kryukov; Kristian Cibulskis; Andrey Sivachenko; Scott L Carter; Chip Stewart; Craig H Mermel; Steven A Roberts; Adam Kiezun; Peter S Hammerman; Aaron McKenna; Yotam Drier; Lihua Zou; Alex H Ramos; Trevor J Pugh; Nicolas Stransky; Elena Helman; Jaegil Kim; Carrie Sougnez; Lauren Ambrogio; Elizabeth Nickerson; Erica Shefler; Maria L Cortés; Daniel Auclair; Gordon Saksena; Douglas Voet; Michael Noble; Daniel DiCara; Pei Lin; Lee Lichtenstein; David I Heiman; Timothy Fennell; Marcin Imielinski; Bryan Hernandez; Eran Hodis; Sylvan Baca; Austin M Dulak; Jens Lohr; Dan-Avi Landau; Catherine J Wu; Jorge Melendez-Zajgla; Alfredo Hidalgo-Miranda; Amnon Koren; Steven A McCarroll; Jaume Mora; Brian Crompton; Robert Onofrio; Melissa Parkin; Wendy Winckler; Kristin Ardlie; Stacey B Gabriel; Charles W M Roberts; Jaclyn A Biegel; Kimberly Stegmaier; Adam J Bass; Levi A Garraway; Matthew Meyerson; Todd R Golub; Dmitry A Gordenin; Shamil Sunyaev; Eric S Lander; Gad Getz
Journal:  Nature       Date:  2013-06-16       Impact factor: 49.962

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  33 in total

Review 1.  Cancer drug development: The missing links.

Authors:  Ajaikumar B Kunnumakkara; Devivasha Bordoloi; Bethsebie Lalduhsaki Sailo; Nand Kishor Roy; Krishan Kumar Thakur; Kishore Banik; Mehdi Shakibaei; Subash C Gupta; Bharat B Aggarwal
Journal:  Exp Biol Med (Maywood)       Date:  2019-04-08

2.  Mapping a diversity of genetic interactions in yeast.

Authors:  Jolanda van Leeuwen; Charles Boone; Brenda J Andrews
Journal:  Curr Opin Syst Biol       Date:  2017-08-12

Review 3.  A systems approach to clinical oncology uses deep phenotyping to deliver personalized care.

Authors:  James T Yurkovich; Qiang Tian; Nathan D Price; Leroy Hood
Journal:  Nat Rev Clin Oncol       Date:  2019-10-16       Impact factor: 66.675

4.  Regulome networks and mutational landscape in liver cancer: An informative path to precision medicine.

Authors:  Song Yi; Nidhi Sahni
Journal:  Hepatology       Date:  2017-06-07       Impact factor: 17.425

5.  Modeling genotypes in their microenvironment to predict single- and multi-cellular behavior.

Authors:  Dimitrios Voukantsis; Kenneth Kahn; Martin Hadley; Rowan Wilson; Francesca M Buffa
Journal:  Gigascience       Date:  2019-03-01       Impact factor: 6.524

Review 6.  Gene Regulatory Network Perturbation by Genetic and Epigenetic Variation.

Authors:  Yongsheng Li; Daniel J McGrail; Juan Xu; Gordon B Mills; Nidhi Sahni; Song Yi
Journal:  Trends Biochem Sci       Date:  2018-06-22       Impact factor: 13.807

7.  Credentialing Individual Samples for Proteogenomic Analysis.

Authors:  Wei Zhao; Jun Li; Rehan Akbani; Han Liang; Gordon B Mills
Journal:  Mol Cell Proteomics       Date:  2018-05-01       Impact factor: 5.911

Review 8.  Gain-of-Function Mutations: An Emerging Advantage for Cancer Biology.

Authors:  Yongsheng Li; Yunpeng Zhang; Xia Li; Song Yi; Juan Xu
Journal:  Trends Biochem Sci       Date:  2019-04-29       Impact factor: 13.807

Review 9.  The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.

Authors:  Kivilcim Ozturk; Michelle Dow; Daniel E Carlin; Rafael Bejar; Hannah Carter
Journal:  J Mol Biol       Date:  2018-06-15       Impact factor: 5.469

10.  e-MutPath: computational modeling reveals the functional landscape of genetic mutations rewiring interactome networks.

Authors:  Yongsheng Li; Brandon Burgman; Ishaani S Khatri; Sairahul R Pentaparthi; Zhe Su; Daniel J McGrail; Yang Li; Erxi Wu; S Gail Eckhardt; Nidhi Sahni; S Stephen Yi
Journal:  Nucleic Acids Res       Date:  2021-01-11       Impact factor: 16.971

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