Literature DB >> 27309819

Defining the consequences of genetic variation on a proteome-wide scale.

Joel M Chick1, Steven C Munger2, Petr Simecek2, Edward L Huttlin1, Kwangbom Choi2, Daniel M Gatti2, Narayanan Raghupathy2, Karen L Svenson2, Gary A Churchill2, Steven P Gygi1.   

Abstract

Genetic variation modulates protein expression through both transcriptional and post-transcriptional mechanisms. To characterize the consequences of natural genetic diversity on the proteome, here we combine a multiplexed, mass spectrometry-based method for protein quantification with an emerging outbred mouse model containing extensive genetic variation from eight inbred founder strains. By measuring genome-wide transcript and protein expression in livers from 192 Diversity outbred mice, we identify 2,866 protein quantitative trait loci (pQTL) with twice as many local as distant genetic variants. These data support distinct transcriptional and post-transcriptional models underlying the observed pQTL effects. Using a sensitive approach to mediation analysis, we often identified a second protein or transcript as the causal mediator of distant pQTL. Our analysis reveals an extensive network of direct protein-protein interactions. Finally, we show that local genotype can provide accurate predictions of protein abundance in an independent cohort of collaborative cross mice.

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Year:  2016        PMID: 27309819      PMCID: PMC5292866          DOI: 10.1038/nature18270

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  56 in total

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Authors:  M J L de Hoon; S Imoto; J Nolan; S Miyano
Journal:  Bioinformatics       Date:  2004-02-10       Impact factor: 6.937

2.  System-wide molecular evidence for phenotypic buffering in Arabidopsis.

Authors:  Jingyuan Fu; Joost J B Keurentjes; Harro Bouwmeester; Twan America; Francel W A Verstappen; Jane L Ward; Michael H Beale; Ric C H de Vos; Martijn Dijkstra; Richard A Scheltema; Frank Johannes; Maarten Koornneef; Dick Vreugdenhil; Rainer Breitling; Ritsert C Jansen
Journal:  Nat Genet       Date:  2009-01-25       Impact factor: 38.330

3.  Quantitative trait loci underlying gene product variation: a novel perspective for analyzing regulation of genome expression.

Authors:  C Damerval; A Maurice; J M Josse; D de Vienne
Journal:  Genetics       Date:  1994-05       Impact factor: 4.562

Review 4.  Insights into the regulation of protein abundance from proteomic and transcriptomic analyses.

Authors:  Christine Vogel; Edward M Marcotte
Journal:  Nat Rev Genet       Date:  2012-03-13       Impact factor: 53.242

5.  The Collaborative Cross, developing a resource for mammalian systems genetics: a status report of the Wellcome Trust cohort.

Authors:  Fuad A Iraqi; Gary Churchill; Richard Mott
Journal:  Mamm Genome       Date:  2008-06-03       Impact factor: 2.957

6.  Genomic variation. Impact of regulatory variation from RNA to protein.

Authors:  Alexis Battle; Zia Khan; Sidney H Wang; Amy Mitrano; Michael J Ford; Jonathan K Pritchard; Yoav Gilad
Journal:  Science       Date:  2014-12-18       Impact factor: 47.728

7.  UniProt Knowledgebase: a hub of integrated protein data.

Authors:  Michele Magrane
Journal:  Database (Oxford)       Date:  2011-03-29       Impact factor: 3.451

8.  QTLRel: an R package for genome-wide association studies in which relatedness is a concern.

Authors:  Riyan Cheng; Mark Abney; Abraham A Palmer; Andrew D Skol
Journal:  BMC Genet       Date:  2011-07-27       Impact factor: 2.797

9.  Genic intolerance to functional variation and the interpretation of personal genomes.

Authors:  Slavé Petrovski; Quanli Wang; Erin L Heinzen; Andrew S Allen; David B Goldstein
Journal:  PLoS Genet       Date:  2013-08-22       Impact factor: 5.917

10.  Quantitative trait locus mapping methods for diversity outbred mice.

Authors:  Daniel M Gatti; Karen L Svenson; Andrey Shabalin; Long-Yang Wu; William Valdar; Petr Simecek; Neal Goodwin; Riyan Cheng; Daniel Pomp; Abraham Palmer; Elissa J Chesler; Karl W Broman; Gary A Churchill
Journal:  G3 (Bethesda)       Date:  2014-09-18       Impact factor: 3.154

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  140 in total

1.  G1 cyclins link proliferation, pluripotency and differentiation of embryonic stem cells.

Authors:  Lijun Liu; Wojciech Michowski; Hiroyuki Inuzuka; Kouhei Shimizu; Naoe Taira Nihira; Joel M Chick; Na Li; Yan Geng; Alice Y Meng; Alban Ordureau; Aleksandra Kołodziejczyk; Keith L Ligon; Roderick T Bronson; Kornelia Polyak; J Wade Harper; Steven P Gygi; Wenyi Wei; Piotr Sicinski
Journal:  Nat Cell Biol       Date:  2017-02-13       Impact factor: 28.824

2.  Extensive Peptide Fractionation and y1 Ion-Based Interference Detection Method for Enabling Accurate Quantification by Isobaric Labeling and Mass Spectrometry.

Authors:  Mingming Niu; Ji-Hoon Cho; Kiran Kodali; Vishwajeeth Pagala; Anthony A High; Hong Wang; Zhiping Wu; Yuxin Li; Wenjian Bi; Hui Zhang; Xusheng Wang; Wei Zou; Junmin Peng
Journal:  Anal Chem       Date:  2017-02-22       Impact factor: 6.986

3.  An integrative systems genetic analysis of mammalian lipid metabolism.

Authors:  Benjamin L Parker; Anna C Calkin; Marcus M Seldin; Michael F Keating; Elizabeth J Tarling; Pengyi Yang; Sarah C Moody; Yingying Liu; Eser J Zerenturk; Elise J Needham; Matthew L Miller; Bethan L Clifford; Pauline Morand; Matthew J Watt; Ruth C R Meex; Kang-Yu Peng; Richard Lee; Kaushala Jayawardana; Calvin Pan; Natalie A Mellett; Jacquelyn M Weir; Ross Lazarus; Aldons J Lusis; Peter J Meikle; David E James; Thomas Q de Aguiar Vallim; Brian G Drew
Journal:  Nature       Date:  2019-02-27       Impact factor: 49.962

4.  Reference Trait Analysis Reveals Correlations Between Gene Expression and Quantitative Traits in Disjoint Samples.

Authors:  Daniel A Skelly; Narayanan Raghupathy; Raymond F Robledo; Joel H Graber; Elissa J Chesler
Journal:  Genetics       Date:  2019-05-21       Impact factor: 4.562

5.  Of mice and interaction: A new way to investigate complex genetic traits.

Authors:  Ellie Kincaid
Journal:  Nat Med       Date:  2016-10-06       Impact factor: 53.440

Review 6.  A Review on Quantitative Multiplexed Proteomics.

Authors:  Nishant Pappireddi; Lance Martin; Martin Wühr
Journal:  Chembiochem       Date:  2019-04-18       Impact factor: 3.164

7.  Rare Disease Mechanisms Identified by Genealogical Proteomics of Copper Homeostasis Mutant Pedigrees.

Authors:  Stephanie A Zlatic; Alysia Vrailas-Mortimer; Avanti Gokhale; Lucas J Carey; Elizabeth Scott; Reid Burch; Morgan M McCall; Samantha Rudin-Rush; John Bowen Davis; Cortnie Hartwig; Erica Werner; Lian Li; Michael Petris; Victor Faundez
Journal:  Cell Syst       Date:  2018-01-31       Impact factor: 10.304

8.  Trans Effects on Gene Expression Can Drive Omnigenic Inheritance.

Authors:  Xuanyao Liu; Yang I Li; Jonathan K Pritchard
Journal:  Cell       Date:  2019-05-02       Impact factor: 41.582

9.  Mild inborn errors of metabolism in commonly used inbred mouse strains.

Authors:  João Leandro; Sara Violante; Carmen A Argmann; Jacob Hagen; Tetyana Dodatko; Aaron Bender; Wei Zhang; Evan G Williams; Alexis M Bachmann; Johan Auwerx; Chunli Yu; Sander M Houten
Journal:  Mol Genet Metab       Date:  2019-01-24       Impact factor: 4.797

10.  Determining Allele-Specific Protein Expression (ASPE) Using a Novel Quantitative Concatamer Based Proteomics Method.

Authors:  Jian Shi; Xinwen Wang; Huaijun Zhu; Hui Jiang; Danxin Wang; Alexey Nesvizhskii; Hao-Jie Zhu
Journal:  J Proteome Res       Date:  2018-09-04       Impact factor: 4.466

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