Literature DB >> 19687803

Applying mass spectrometry-based proteomics to genetics, genomics and network biology.

Matthias Gstaiger1, Ruedi Aebersold.   

Abstract

The systematic and quantitative molecular analysis of mutant organisms that has been pioneered by studies on mutant metabolomes and transcriptomes holds great promise for improving our understanding of how phenotypes emerge. Unfortunately, owing to the limitations of classical biochemical analysis, proteins have previously been excluded from such studies. Here we review how technical advances in mass spectrometry-based proteomics can be applied to measure changes in protein abundance, posttranslational modifications and protein-protein interactions in mutants at the scale of the proteome. We finally discuss examples that integrate proteomics data with genomic and phenomic information to build network-centred models, which provide a promising route for understanding how phenotypes emerge.

Mesh:

Year:  2009        PMID: 19687803     DOI: 10.1038/nrg2633

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


  82 in total

1.  A correlation algorithm for the automated quantitative analysis of shotgun proteomics data.

Authors:  Michael J MacCoss; Christine C Wu; Hongbin Liu; Rovshan Sadygov; John R Yates
Journal:  Anal Chem       Date:  2003-12-15       Impact factor: 6.986

2.  Proteome analyses using accurate mass and elution time peptide tags with capillary LC time-of-flight mass spectrometry.

Authors:  Eric F Strittmatter; P Lee Ferguson; Keqi Tang; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

3.  Quantitative mass spectrometry identifies insulin signaling targets in C. elegans.

Authors:  Meng-Qiu Dong; John D Venable; Nora Au; Tao Xu; Sung Kyu Park; Daniel Cociorva; Jeffrey R Johnson; Andrew Dillin; John R Yates
Journal:  Science       Date:  2007-08-03       Impact factor: 47.728

Review 4.  The model organism as a system: integrating 'omics' data sets.

Authors:  Andrew R Joyce; Bernhard Ø Palsson
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

5.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

6.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

Review 7.  Quantitative analysis of methionine enkephalin and beta-endorphin in the pituitary by liquid secondary ion mass spectrometry and tandem mass spectrometry.

Authors:  D M Desiderio; X Zhu
Journal:  J Chromatogr A       Date:  1998-01-23       Impact factor: 4.759

8.  Quantitative proteomic analysis of primary neurons reveals diverse changes in synaptic protein content in fmr1 knockout mice.

Authors:  Lujian Liao; Sung Kyu Park; Tao Xu; Peter Vanderklish; John R Yates
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-30       Impact factor: 11.205

9.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

10.  Comprehensive proteome analysis of an Apc mouse model uncovers proteins associated with intestinal tumorigenesis.

Authors:  Kenneth E Hung; Vitor Faca; Kenneth Song; David A Sarracino; Larissa Georgeon Richard; Bryan Krastins; Sara Forrester; Andrew Porter; Alexandra Kunin; Umar Mahmood; Brian B Haab; Samir M Hanash; Raju Kucherlapati
Journal:  Cancer Prev Res (Phila)       Date:  2009-02-24
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  138 in total

1.  Analysis of ubiquitinated proteome by quantitative mass spectrometry.

Authors:  Chan Hyun Na; Junmin Peng
Journal:  Methods Mol Biol       Date:  2012

2.  Analysis of protein mixtures from whole-cell extracts by single-run nanoLC-MS/MS using ultralong gradients.

Authors:  Thomas Köcher; Peter Pichler; Remco Swart; Karl Mechtler
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

3.  Mapping the protein interaction network of the human COP9 signalosome complex using a label-free QTAX strategy.

Authors:  Lei Fang; Robyn M Kaake; Vishal R Patel; Yingying Yang; Pierre Baldi; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2012-04-03       Impact factor: 5.911

Review 4.  Proteomics and systems biology: current and future applications in the nutritional sciences.

Authors:  J Bernadette Moore; Mark E Weeks
Journal:  Adv Nutr       Date:  2011-06-28       Impact factor: 8.701

Review 5.  Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Authors:  Robyn M Kaake; Xiaorong Wang; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2010-05-05       Impact factor: 5.911

6.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

7.  ATP-sensitive K(+) channel-deficient dilated cardiomyopathy proteome remodeled by embryonic stem cell therapy.

Authors:  Jelena Zlatkovic-Lindor; D Kent Arrell; Satsuki Yamada; Timothy J Nelson; Andre Terzic
Journal:  Stem Cells       Date:  2010-08       Impact factor: 6.277

8.  U1 small nuclear ribonucleoprotein complex and RNA splicing alterations in Alzheimer's disease.

Authors:  Bing Bai; Chadwick M Hales; Ping-Chung Chen; Yair Gozal; Eric B Dammer; Jason J Fritz; Xusheng Wang; Qiangwei Xia; Duc M Duong; Craig Street; Gloria Cantero; Dongmei Cheng; Drew R Jones; Zhiping Wu; Yuxin Li; Ian Diner; Craig J Heilman; Howard D Rees; Hao Wu; Li Lin; Keith E Szulwach; Marla Gearing; Elliott J Mufson; David A Bennett; Thomas J Montine; Nicholas T Seyfried; Thomas S Wingo; Yi E Sun; Peng Jin; John Hanfelt; Donna M Willcock; Allan Levey; James J Lah; Junmin Peng
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-10       Impact factor: 11.205

Review 9.  Systems immunology of human malaria.

Authors:  Tuan M Tran; Babru Samal; Ewen Kirkness; Peter D Crompton
Journal:  Trends Parasitol       Date:  2012-05-15

Review 10.  The pancreatic β-cell transcriptome and integrated-omics.

Authors:  David M Blodgett; Anthony J Cura; David M Harlan
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2014-04       Impact factor: 3.243

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