Literature DB >> 20395639

Integrated phosphoproteomics analysis of a signaling network governing nutrient response and peroxisome induction.

Ramsey A Saleem1, Richard S Rogers, Alexander V Ratushny, David J Dilworth, Paul T Shannon, David Shteynberg, Yakun Wan, Robert L Moritz, Alexey I Nesvizhskii, Richard A Rachubinski, John D Aitchison.   

Abstract

Phosphorylation of proteins is a key posttranslational modification in cellular signaling, regulating many aspects of cellular responses. We used a quantitative, integrated, phosphoproteomics approach to characterize the cellular responses of the yeast Saccharomyces cerevisiae to the fatty acid oleic acid, a molecule with broad human health implications and a potent inducer of peroxisomes. A combination of cryolysis and urea solubilization was used to minimize the opportunity for reorientation of the phosphoproteome, and hydrophilic interaction liquid chromatography and IMAC chemistries were used to fractionate and enrich for phosphopeptides. Using these approaches, numerous phosphorylated peptides specific to oleate-induced and glucose-repressed conditions were identified and mapped to known signaling pathways. These include several transcription factors, two of which, Pip2p and Cst6p, must be phosphorylated for the normal transcriptional response of fatty acid-responsive loci encoding peroxisomal proteins. The phosphoproteome data were integrated with results from genome-wide assays studying the effects of signaling molecule deletions and known protein-protein interactions to generate a putative fatty acid-responsive signaling network. In this network, the most highly connected nodes are those with the largest effects on cellular responses to oleic acid. These properties are consistent with a scale-free topology, demonstrating that scale-free properties are conserved in condition-specific networks.

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Year:  2010        PMID: 20395639      PMCID: PMC2938103          DOI: 10.1074/mcp.M000116-MCP201

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


  54 in total

Review 1.  The regulation of protein function by multisite phosphorylation--a 25 year update.

Authors:  P Cohen
Journal:  Trends Biochem Sci       Date:  2000-12       Impact factor: 13.807

2.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

Review 3.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

Review 4.  The biochemistry of oleate induction: transcriptional upregulation and peroxisome proliferation.

Authors:  Aner Gurvitz; Hanspeter Rottensteiner
Journal:  Biochim Biophys Acta       Date:  2006-07-26

5.  A curated compendium of phosphorylation motifs.

Authors:  Ramars Amanchy; Balamurugan Periaswamy; Suresh Mathivanan; Raghunath Reddy; Sudhir Gopal Tattikota; Akhilesh Pandey
Journal:  Nat Biotechnol       Date:  2007-03       Impact factor: 54.908

6.  Aca1 and Aca2, ATF/CREB activators in Saccharomyces cerevisiae, are important for carbon source utilization but not the response to stress.

Authors:  M A Garcia-Gimeno; K Struhl
Journal:  Mol Cell Biol       Date:  2000-06       Impact factor: 4.272

7.  Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.

Authors:  Albrecht Gruhler; Jesper V Olsen; Shabaz Mohammed; Peter Mortensen; Nils J Faergeman; Matthias Mann; Ole N Jensen
Journal:  Mol Cell Proteomics       Date:  2005-01-22       Impact factor: 5.911

8.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

9.  Transcriptome profiling to identify genes involved in peroxisome assembly and function.

Authors:  Jennifer J Smith; Marcello Marelli; Rowan H Christmas; Franco J Vizeacoumar; David J Dilworth; Trey Ideker; Timothy Galitski; Krassen Dimitrov; Richard A Rachubinski; John D Aitchison
Journal:  J Cell Biol       Date:  2002-07-22       Impact factor: 10.539

10.  Function of C/EBPdelta in a regulatory circuit that discriminates between transient and persistent TLR4-induced signals.

Authors:  Vladimir Litvak; Stephen A Ramsey; Alistair G Rust; Daniel E Zak; Kathleen A Kennedy; Aaron E Lampano; Matti Nykter; Ilya Shmulevich; Alan Aderem
Journal:  Nat Immunol       Date:  2009-03-08       Impact factor: 25.606

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  19 in total

Review 1.  The peroxisome: an update on mysteries.

Authors:  Markus Islinger; Sandra Grille; H Dariush Fahimi; Michael Schrader
Journal:  Histochem Cell Biol       Date:  2012-03-14       Impact factor: 4.304

Review 2.  Phosphoproteomic analysis: an emerging role in deciphering cellular signaling in human embryonic stem cells and their differentiated derivatives.

Authors:  Brian T D Tobe; Junjie Hou; Andrew M Crain; Ilyas Singec; Evan Y Snyder; Laurence M Brill
Journal:  Stem Cell Rev Rep       Date:  2012-03       Impact factor: 5.739

Review 3.  Combining results of multiple search engines in proteomics.

Authors:  David Shteynberg; Alexey I Nesvizhskii; Robert L Moritz; Eric W Deutsch
Journal:  Mol Cell Proteomics       Date:  2013-05-29       Impact factor: 5.911

Review 4.  Signaling dynamics and peroxisomes.

Authors:  Fred D Mast; Richard A Rachubinski; John D Aitchison
Journal:  Curr Opin Cell Biol       Date:  2015-05-29       Impact factor: 8.382

5.  Affinity proteomics to study endogenous protein complexes: pointers, pitfalls, preferences and perspectives.

Authors:  John LaCava; Kelly R Molloy; Martin S Taylor; Michal Domanski; Brian T Chait; Michael P Rout
Journal:  Biotechniques       Date:  2015-03-01       Impact factor: 1.993

Review 6.  Reverse engineering systems models of regulation: discovery, prediction and mechanisms.

Authors:  Justin Ashworth; Elisabeth J Wurtmann; Nitin S Baliga
Journal:  Curr Opin Biotechnol       Date:  2011-12-28       Impact factor: 9.740

7.  Phosphoproteome Analysis Links Protein Phosphorylation to Cellular Remodeling and Metabolic Adaptation during Magnaporthe oryzae Appressorium Development.

Authors:  William L Franck; Emine Gokce; Shan M Randall; Yeonyee Oh; Alex Eyre; David C Muddiman; Ralph A Dean
Journal:  J Proteome Res       Date:  2015-05-15       Impact factor: 4.466

8.  Pex30 undergoes phosphorylation and regulates peroxisome number in Saccharomyces cerevisiae.

Authors:  Nayan Moni Deori; Terence Infant; Pradeep Kumar Sundaravadivelu; Rajkumar P Thummer; Shirisha Nagotu
Journal:  Mol Genet Genomics       Date:  2022-02-26       Impact factor: 3.291

9.  Cross-talk phosphorylations by protein kinase C and Pho85p-Pho80p protein kinase regulate Pah1p phosphatidate phosphatase abundance in Saccharomyces cerevisiae.

Authors:  Wen-Min Su; Gil-Soo Han; George M Carman
Journal:  J Biol Chem       Date:  2014-05-29       Impact factor: 5.157

Review 10.  Peroxisomes take shape.

Authors:  Jennifer J Smith; John D Aitchison
Journal:  Nat Rev Mol Cell Biol       Date:  2013-12       Impact factor: 94.444

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