Literature DB >> 25657249

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

Alexis Battle1, Zia Khan2, Sidney H Wang2, Amy Mitrano2, Michael J Ford3, Jonathan K Pritchard4, Yoav Gilad5.   

Abstract

The phenotypic consequences of expression quantitative trait loci (eQTLs) are presumably due to their effects on protein expression levels. Yet the impact of genetic variation, including eQTLs, on protein levels remains poorly understood. To address this, we mapped genetic variants that are associated with eQTLs, ribosome occupancy (rQTLs), or protein abundance (pQTLs). We found that most QTLs are associated with transcript expression levels, with consequent effects on ribosome and protein levels. However, eQTLs tend to have significantly reduced effect sizes on protein levels, which suggests that their potential impact on downstream phenotypes is often attenuated or buffered. Additionally, we identified a class of cis QTLs that affect protein abundance with little or no effect on messenger RNA or ribosome levels, which suggests that they may arise from differences in posttranslational regulation.
Copyright © 2015, American Association for the Advancement of Science.

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Year:  2014        PMID: 25657249      PMCID: PMC4507520          DOI: 10.1126/science.1260793

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  24 in total

1.  Identification of quantitative trait loci underlying proteome variation in human lymphoblastoid cells.

Authors:  Nikhil Garge; Huaqin Pan; Megan D Rowland; Benjamin J Cargile; Xinxin Zhang; Phillip C Cooley; Grier P Page; Maureen K Bunger
Journal:  Mol Cell Proteomics       Date:  2010-02-23       Impact factor: 5.911

2.  Genetic basis of proteome variation in yeast.

Authors:  Eric J Foss; Dragan Radulovic; Scott A Shaffer; Douglas M Ruderfer; Antonio Bedalov; David R Goodlett; Leonid Kruglyak
Journal:  Nat Genet       Date:  2007-10-21       Impact factor: 38.330

3.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

4.  Protein abundances are more conserved than mRNA abundances across diverse taxa.

Authors:  Jon M Laurent; Christine Vogel; Taejoon Kwon; Stephanie A Craig; Daniel R Boutz; Holly K Huse; Kazunari Nozue; Harkamal Walia; Marvin Whiteley; Pamela C Ronald; Edward M Marcotte
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

5.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

Review 6.  Lysine acetylation: codified crosstalk with other posttranslational modifications.

Authors:  Xiang-Jiao Yang; Edward Seto
Journal:  Mol Cell       Date:  2008-08-22       Impact factor: 17.970

7.  Understanding mechanisms underlying human gene expression variation with RNA sequencing.

Authors:  Joseph K Pickrell; John C Marioni; Athma A Pai; Jacob F Degner; Barbara E Engelhardt; Everlyne Nkadori; Jean-Baptiste Veyrieras; Matthew Stephens; Yoav Gilad; Jonathan K Pritchard
Journal:  Nature       Date:  2010-03-10       Impact factor: 49.962

8.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

9.  Comparative functional analysis of the Caenorhabditis elegans and Drosophila melanogaster proteomes.

Authors:  Sabine P Schrimpf; Manuel Weiss; Lukas Reiter; Christian H Ahrens; Marko Jovanovic; Johan Malmström; Erich Brunner; Sonali Mohanty; Martin J Lercher; Peter E Hunziker; Ruedi Aebersold; Christian von Mering; Michael O Hengartner
Journal:  PLoS Biol       Date:  2009-03-03       Impact factor: 8.029

10.  Identification and validation of genetic variants that influence transcription factor and cell signaling protein levels.

Authors:  Ronald J Hause; Amy L Stark; Nirav N Antao; Lidija K Gorsic; Sophie H Chung; Christopher D Brown; Shan S Wong; Daniel F Gill; Jamie L Myers; Lida Anita To; Kevin P White; M Eileen Dolan; Richard Baker Jones
Journal:  Am J Hum Genet       Date:  2014-07-31       Impact factor: 11.025

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  177 in total

Review 1.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

Review 2.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

3.  Transcriptional Signatures, Imaging, and Coronary Artery Disease Diagnosis.

Authors:  Steven Rosenberg
Journal:  J Cardiovasc Transl Res       Date:  2015-05-13       Impact factor: 4.132

Review 4.  The role of regulatory variation in complex traits and disease.

Authors:  Frank W Albert; Leonid Kruglyak
Journal:  Nat Rev Genet       Date:  2015-02-24       Impact factor: 53.242

Review 5.  Methods, Tools and Current Perspectives in Proteogenomics.

Authors:  Kelly V Ruggles; Karsten Krug; Xiaojing Wang; Karl R Clauser; Jing Wang; Samuel H Payne; David Fenyö; Bing Zhang; D R Mani
Journal:  Mol Cell Proteomics       Date:  2017-04-29       Impact factor: 5.911

6.  Conditional eQTL analysis reveals allelic heterogeneity of gene expression.

Authors:  Rick Jansen; Jouke-Jan Hottenga; Michel G Nivard; Abdel Abdellaoui; Bram Laport; Eco J de Geus; Fred A Wright; Brenda W J H Penninx; Dorret I Boomsma
Journal:  Hum Mol Genet       Date:  2017-04-15       Impact factor: 6.150

7.  Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives.

Authors:  Andy Dahl; Vincent Guillemot; Joel Mefford; Hugues Aschard; Noah Zaitlen
Journal:  Genetics       Date:  2019-01-28       Impact factor: 4.562

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.  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

10.  DNA methylation in lung cells is associated with asthma endotypes and genetic risk.

Authors:  Jessie Nicodemus-Johnson; Rachel A Myers; Noburu J Sakabe; Debora R Sobreira; Douglas K Hogarth; Edward T Naureckas; Anne I Sperling; Julian Solway; Steven R White; Marcelo A Nobrega; Dan L Nicolae; Yoav Gilad; Carole Ober
Journal:  JCI Insight       Date:  2016-12-08
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