Literature DB >> 21551504

Correct interpretation of comprehensive phosphorylation dynamics requires normalization by protein expression changes.

Ronghu Wu1, Noah Dephoure, Wilhelm Haas, Edward L Huttlin, Bo Zhai, Mathew E Sowa, Steven P Gygi.   

Abstract

The interpretation of quantitative phosphoproteomics studies is complicated because each differential phosphorylation event integrates both changes in protein expression and phosphorylation. Here we investigated this phenomenon by performing parallel comparisons of protein expression and phosphorylation in S. cerevisiae. In each of two experiments comparing yeast mutants bearing deletions in FUS3 or STE7 with their wild-type counterparts, we quantified over 4100 proteins, including all members of the yeast mating pathway. We also identified 12,499 unique phosphorylation sites in this work. We demonstrate the critical importance of controlling the protein-level false-discovery rate and provide a novel method to assess the accuracy of protein false-discovery rate estimates. For the first time, 96% of nonredundant phosphopeptide ratios could be calibrated by protein levels, allowing truly differential phosphorylation to be distinguished from altered protein expression. This revealed a starkly different view, with 25% of seemingly differential phosphopeptides now attributed to changes in protein expression. Combined protein expression and phosphorylation surveys uncovered both independent and concerted changes in protein expression and phosphorylation, while highlighting the partially redundant role of a second MAPK (Kss1) in the mating pathway.

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Year:  2011        PMID: 21551504      PMCID: PMC3149096          DOI: 10.1074/mcp.M111.009654

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  41 in total

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2.  Large-scale phosphorylation analysis of mouse liver.

Authors:  Judit Villén; Sean A Beausoleil; Scott A Gerber; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

3.  Mechanisms of MAPK signalling specificity.

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Review 4.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
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5.  Combinatorial control required for the specificity of yeast MAPK signaling.

Authors:  H D Madhani; G R Fink
Journal:  Science       Date:  1997-02-28       Impact factor: 47.728

Review 6.  MAP kinase pathways in yeast: for mating and more.

Authors:  I Herskowitz
Journal:  Cell       Date:  1995-01-27       Impact factor: 41.582

7.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

8.  Mislocalized activation of oncogenic RTKs switches downstream signaling outcomes.

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Journal:  Mol Cell       Date:  2009-10-23       Impact factor: 17.970

9.  Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis.

Authors:  Jesper V Olsen; Michiel Vermeulen; Anna Santamaria; Chanchal Kumar; Martin L Miller; Lars J Jensen; Florian Gnad; Jürgen Cox; Thomas S Jensen; Erich A Nigg; Søren Brunak; Matthias Mann
Journal:  Sci Signal       Date:  2010-01-12       Impact factor: 8.192

10.  Mitogen-activated protein (MAP) kinase phosphorylation of MAP kinase kinase: determination of phosphorylation sites by mass spectrometry and site-directed mutagenesis.

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  74 in total

Review 1.  Recent advances in enrichment and separation strategies for mass spectrometry-based phosphoproteomics.

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Journal:  Electrophoresis       Date:  2014-06-16       Impact factor: 3.535

Review 2.  Quantifying proteomes and their post-translational modifications by stable isotope label-based mass spectrometry.

Authors:  Anna E Merrill; Joshua J Coon
Journal:  Curr Opin Chem Biol       Date:  2013-07-05       Impact factor: 8.822

3.  Longitudinal study of differential protein expression in an Alzheimer's mouse model lacking inducible nitric oxide synthase.

Authors:  Michael D Hoos; Brenna M Richardson; Matthew W Foster; Angela Everhart; J Will Thompson; M Arthur Moseley; Carol A Colton
Journal:  J Proteome Res       Date:  2013-09-18       Impact factor: 4.466

Review 4.  The coming of age of phosphoproteomics--from large data sets to inference of protein functions.

Authors:  Philippe P Roux; Pierre Thibault
Journal:  Mol Cell Proteomics       Date:  2013-09-13       Impact factor: 5.911

5.  Mechanism-based proteomic screening identifies targets of thioredoxin-like proteins.

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Journal:  J Biol Chem       Date:  2015-01-05       Impact factor: 5.157

Review 6.  Global and site-specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry.

Authors:  Haopeng Xiao; Fangxu Sun; Suttipong Suttapitugsakul; Ronghu Wu
Journal:  Mass Spectrom Rev       Date:  2019-01-03       Impact factor: 10.946

7.  Phosphoproteomic analysis of protein kinase C signaling in Saccharomyces cerevisiae reveals Slt2 mitogen-activated protein kinase (MAPK)-dependent phosphorylation of eisosome core components.

Authors:  Victoria Mascaraque; María Luisa Hernáez; María Jiménez-Sánchez; Rasmus Hansen; Concha Gil; Humberto Martín; Víctor J Cid; María Molina
Journal:  Mol Cell Proteomics       Date:  2012-12-09       Impact factor: 5.911

8.  Global impact of Salmonella pathogenicity island 2-secreted effectors on the host phosphoproteome.

Authors:  Koshi Imami; Amit P Bhavsar; Hongbing Yu; Nat F Brown; Lindsay D Rogers; B Brett Finlay; Leonard J Foster
Journal:  Mol Cell Proteomics       Date:  2013-03-03       Impact factor: 5.911

9.  Mass spectrometric analysis of the N-glycoproteome in statin-treated liver cells with two lectin-independent chemical enrichment methods.

Authors:  Haopeng Xiao; Ju Eun Hwang; Ronghu Wu
Journal:  Int J Mass Spectrom       Date:  2017-05-27       Impact factor: 1.986

10.  Phospho-Network Analysis Identifies and Quantifies Hepatitis C Virus (HCV)-induced Hepatocellular Carcinoma (HCC) Proteins Regulating Viral-mediated Tumor Growth.

Authors:  Nu T Lu; Natalie M Liu; James Q Vu; Darshil Patel; Whitaker Cohn; Joe Capri; Mary Ziegler; Nikita Patel; Angela Tramontano; Roger Williams; Julian Whitelegge; Samuel W French
Journal:  Cancer Genomics Proteomics       Date:  2016 09-10       Impact factor: 4.069

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