Literature DB >> 25910212

Widespread macromolecular interaction perturbations in human genetic disorders.

Nidhi Sahni1, Song Yi1, Mikko Taipale2, Juan I Fuxman Bass3, Jasmin Coulombe-Huntington4, Fan Yang5, Jian Peng6, Jochen Weile5, Georgios I Karras2, Yang Wang1, István A Kovács7, Atanas Kamburov8, Irina Krykbaeva2, Mandy H Lam9, George Tucker6, Vikram Khurana2, Amitabh Sharma7, Yang-Yu Liu10, Nozomu Yachie5, Quan Zhong8, Yun Shen1, Alexandre Palagi8, Adriana San-Miguel8, Changyu Fan1, Dawit Balcha1, Amelie Dricot1, Daniel M Jordan11, Jennifer M Walsh8, Akash A Shah8, Xinping Yang8, Ani K Stoyanova8, Alex Leighton6, Michael A Calderwood1, Yves Jacob12, Michael E Cusick1, Kourosh Salehi-Ashtiani8, Luke J Whitesell13, Shamil Sunyaev14, Bonnie Berger15, Albert-László Barabási16, Benoit Charloteaux1, David E Hill1, Tong Hao1, Frederick P Roth17, Yu Xia18, Albertha J M Walhout19, Susan Lindquist20, Marc Vidal21.   

Abstract

How disease-associated mutations impair protein activities in the context of biological networks remains mostly undetermined. Although a few renowned alleles are well characterized, functional information is missing for over 100,000 disease-associated variants. Here we functionally profile several thousand missense mutations across a spectrum of Mendelian disorders using various interaction assays. The majority of disease-associated alleles exhibit wild-type chaperone binding profiles, suggesting they preserve protein folding or stability. While common variants from healthy individuals rarely affect interactions, two-thirds of disease-associated alleles perturb protein-protein interactions, with half corresponding to "edgetic" alleles affecting only a subset of interactions while leaving most other interactions unperturbed. With transcription factors, many alleles that leave protein-protein interactions intact affect DNA binding. Different mutations in the same gene leading to different interaction profiles often result in distinct disease phenotypes. Thus disease-associated alleles that perturb distinct protein activities rather than grossly affecting folding and stability are relatively widespread.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25910212      PMCID: PMC4441215          DOI: 10.1016/j.cell.2015.04.013

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  46 in total

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Journal:  Nat Methods       Date:  2011-11-29       Impact factor: 28.547

Review 2.  Making sense of cancer genomic data.

Authors:  Lynda Chin; William C Hahn; Gad Getz; Matthew Meyerson
Journal:  Genes Dev       Date:  2011-03-15       Impact factor: 11.361

Review 3.  Interactome networks and human disease.

Authors:  Marc Vidal; Michael E Cusick; Albert-László Barabási
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

Review 4.  Inferring causality and functional significance of human coding DNA variants.

Authors:  Shamil R Sunyaev
Journal:  Hum Mol Genet       Date:  2012-09-17       Impact factor: 6.150

5.  Quantitative analysis of HSP90-client interactions reveals principles of substrate recognition.

Authors:  Mikko Taipale; Irina Krykbaeva; Martina Koeva; Can Kayatekin; Kenneth D Westover; Georgios I Karras; Susan Lindquist
Journal:  Cell       Date:  2012-08-31       Impact factor: 41.582

6.  A new face and new challenges for Online Mendelian Inheritance in Man (OMIM®).

Authors:  Joanna Amberger; Carol Bocchini; Ada Hamosh
Journal:  Hum Mutat       Date:  2011-04-05       Impact factor: 4.878

7.  Predicting the functional impact of protein mutations: application to cancer genomics.

Authors:  Boris Reva; Yevgeniy Antipin; Chris Sander
Journal:  Nucleic Acids Res       Date:  2011-07-03       Impact factor: 16.971

8.  Yeast one-hybrid assays for gene-centered human gene regulatory network mapping.

Authors:  John S Reece-Hoyes; A Rasim Barutcu; Rachel Patton McCord; Jun Seop Jeong; Lizhi Jiang; Andrew MacWilliams; Xinping Yang; Kourosh Salehi-Ashtiani; David E Hill; Seth Blackshaw; Heng Zhu; Job Dekker; Albertha J M Walhout
Journal:  Nat Methods       Date:  2011-10-30       Impact factor: 28.547

9.  Enhanced yeast one-hybrid assays for high-throughput gene-centered regulatory network mapping.

Authors:  John S Reece-Hoyes; Alos Diallo; Bryan Lajoie; Amanda Kent; Shaleen Shrestha; Sreenath Kadreppa; Colin Pesyna; Job Dekker; Chad L Myers; Albertha J M Walhout
Journal:  Nat Methods       Date:  2011-10-30       Impact factor: 28.547

10.  A public genome-scale lentiviral expression library of human ORFs.

Authors:  Xiaoping Yang; Jesse S Boehm; Xinping Yang; Kourosh Salehi-Ashtiani; Tong Hao; Yun Shen; Rakela Lubonja; Sapana R Thomas; Ozan Alkan; Tashfeen Bhimdi; Thomas M Green; Cory M Johannessen; Serena J Silver; Cindy Nguyen; Ryan R Murray; Haley Hieronymus; Dawit Balcha; Changyu Fan; Chenwei Lin; Lila Ghamsari; Marc Vidal; William C Hahn; David E Hill; David E Root
Journal:  Nat Methods       Date:  2011-06-26       Impact factor: 28.547

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  193 in total

1.  Loss of function, missense, and intronic variants in NOTCH1 confer different risks for left ventricular outflow tract obstructive heart defects in two European cohorts.

Authors:  Emmi Helle; Aldo Córdova-Palomera; Tiina Ojala; Priyanka Saha; Praneetha Potiny; Stefan Gustafsson; Erik Ingelsson; Michael Bamshad; Deborah Nickerson; Jessica X Chong; Euan Ashley; James R Priest
Journal:  Genet Epidemiol       Date:  2018-12-04       Impact factor: 2.135

2.  Network science: Destruction perfected.

Authors:  István A Kovács; Albert-László Barabási
Journal:  Nature       Date:  2015-08-06       Impact factor: 49.962

3.  Heat shock proteins stimulate APOBEC-3-mediated cytidine deamination in the hepatitis B virus.

Authors:  Zhigang Chen; Thomas L Eggerman; Alexander V Bocharov; Irina N Baranova; Tatyana G Vishnyakova; Roger Kurlander; Amy P Patterson
Journal:  J Biol Chem       Date:  2017-06-21       Impact factor: 5.157

Review 4.  Genetics of extreme human longevity to guide drug discovery for healthy ageing.

Authors:  Zhengdong D Zhang; Sofiya Milman; Jhih-Rong Lin; Shayne Wierbowski; Haiyuan Yu; Nir Barzilai; Vera Gorbunova; Warren C Ladiges; Laura J Niedernhofer; Yousin Suh; Paul D Robbins; Jan Vijg
Journal:  Nat Metab       Date:  2020-07-27

Review 5.  Pathway perturbations in signaling networks: Linking genotype to phenotype.

Authors:  Yongsheng Li; Daniel J McGrail; Natasha Latysheva; Song Yi; M Madan Babu; Nidhi Sahni
Journal:  Semin Cell Dev Biol       Date:  2018-05-10       Impact factor: 7.727

6.  Protein Interactomics by Two-Hybrid Methods.

Authors:  Soon Gang Choi; Aaron Richardson; Luke Lambourne; David E Hill; Marc Vidal
Journal:  Methods Mol Biol       Date:  2018

Review 7.  Reads meet rotamers: structural biology in the age of deep sequencing.

Authors:  Anurag Sethi; Declan Clarke; Jieming Chen; Sushant Kumar; Timur R Galeev; Lynne Regan; Mark Gerstein
Journal:  Curr Opin Struct Biol       Date:  2015-12-01       Impact factor: 6.809

Review 8.  The Multifaceted Role of HSF1 in Tumorigenesis.

Authors:  Milad J Alasady; Marc L Mendillo
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

9.  Sample-specific perturbation of gene interactions identifies breast cancer subtypes.

Authors:  Yuanyuan Chen; Yu Gu; Zixi Hu; Xiao Sun
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

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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