Literature DB >> 21743459

Large-scale phosphosite quantification in tissues by a spike-in SILAC method.

Mara Monetti1, Nagarjuna Nagaraj, Kirti Sharma, Matthias Mann.   

Abstract

Despite progress in mass spectrometry (MS)-based phosphoproteomics, large-scale in vivo analyses remain challenging. Here we report a 'spike-in' stable-isotope labeling with amino acids in cell culture (SILAC) methodology using standards derived from labeled mouse liver cell lines, using which we analyzed insulin signaling. With this approach we identified 15,000 phosphosites and quantitatively compared 10,000 sites in response to insulin treatment, creating a very large, accurately quantified in vivo phosphoproteome dataset.

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Year:  2011        PMID: 21743459     DOI: 10.1038/nmeth.1647

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  19 in total

1.  Feasibility of large-scale phosphoproteomics with higher energy collisional dissociation fragmentation.

Authors:  Nagarjuna Nagaraj; Rochelle C J D'Souza; Juergen Cox; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2010-10-26       Impact factor: 4.466

2.  A tissue-specific atlas of mouse protein phosphorylation and expression.

Authors:  Edward L Huttlin; Mark P Jedrychowski; Joshua E Elias; Tapasree Goswami; Ramin Rad; Sean A Beausoleil; Judit Villén; Wilhelm Haas; Mathew E Sowa; Steven P Gygi
Journal:  Cell       Date:  2010-12-23       Impact factor: 41.582

3.  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

Review 4.  Critical nodes in signalling pathways: insights into insulin action.

Authors:  Cullen M Taniguchi; Brice Emanuelli; C Ronald Kahn
Journal:  Nat Rev Mol Cell Biol       Date:  2006-02       Impact factor: 94.444

Review 5.  Phosphopeptide fragmentation and analysis by mass spectrometry.

Authors:  Paul J Boersema; Shabaz Mohammed; Albert J R Heck
Journal:  J Mass Spectrom       Date:  2009-06       Impact factor: 1.982

6.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

7.  Andromeda: a peptide search engine integrated into the MaxQuant environment.

Authors:  Jürgen Cox; Nadin Neuhauser; Annette Michalski; Richard A Scheltema; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-22       Impact factor: 4.466

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.  SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function.

Authors:  Marcus Krüger; Markus Moser; Siegfried Ussar; Ingo Thievessen; Christian A Luber; Francesca Forner; Sarah Schmidt; Sara Zanivan; Reinhard Fässler; Matthias Mann
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

10.  A dual pressure linear ion trap Orbitrap instrument with very high sequencing speed.

Authors:  Jesper V Olsen; Jae C Schwartz; Jens Griep-Raming; Michael L Nielsen; Eugen Damoc; Eduard Denisov; Oliver Lange; Philip Remes; Dennis Taylor; Maurizio Splendore; Eloy R Wouters; Michael Senko; Alexander Makarov; Matthias Mann; Stevan Horning
Journal:  Mol Cell Proteomics       Date:  2009-10-14       Impact factor: 5.911

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  57 in total

1.  Identification and validation of inhibitor-responsive kinase substrates using a new paradigm to measure kinase-specific protein phosphorylation index.

Authors:  Xiang Li; Varsha Rao; Jin Jin; Bin Guan; Kenna L Anderes; Charles J Bieberich
Journal:  J Proteome Res       Date:  2012-06-18       Impact factor: 4.466

2.  15N-labeled brain enables quantification of proteome and phosphoproteome in cultured primary neurons.

Authors:  Lujian Liao; Richard C Sando; John B Farnum; Peter W Vanderklish; Anton Maximov; John R Yates
Journal:  J Proteome Res       Date:  2011-12-02       Impact factor: 4.466

3.  The induction of serine/threonine protein phosphorylations by a PDGFR/TrkA chimera in stably transfected PC12 cells.

Authors:  Jordane Biarc; Robert J Chalkley; A L Burlingame; Ralph A Bradshaw
Journal:  Mol Cell Proteomics       Date:  2011-10-25       Impact factor: 5.911

4.  PTMScan direct: identification and quantification of peptides from critical signaling proteins by immunoaffinity enrichment coupled with LC-MS/MS.

Authors:  Matthew P Stokes; Charles L Farnsworth; Albrecht Moritz; Jeffrey C Silva; Xiaoying Jia; Kimberly A Lee; Ailan Guo; Roberto D Polakiewicz; Michael J Comb
Journal:  Mol Cell Proteomics       Date:  2012-02-09       Impact factor: 5.911

5.  High-throughput phosphoproteomics reveals in vivo insulin signaling dynamics.

Authors:  Sean J Humphrey; S Babak Azimifar; Matthias Mann
Journal:  Nat Biotechnol       Date:  2015-08-17       Impact factor: 54.908

6.  QuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues.

Authors:  Harsha P Gunawardena; Jonathon O'Brien; John A Wrobel; Ling Xie; Sherri R Davies; Shunqiang Li; Matthew J Ellis; Bahjat F Qaqish; Xian Chen
Journal:  Mol Cell Proteomics       Date:  2015-11-23       Impact factor: 5.911

Review 7.  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

8.  SILAC-based quantitative proteomic analysis of Drosophila gastrula stage embryos mutant for fibroblast growth factor signalling.

Authors:  Hamze Beati; Alistair Langlands; Sara Ten Have; H-Arno J Müller
Journal:  Fly (Austin)       Date:  2019-12-24       Impact factor: 2.160

9.  A quantitative map of the liver mitochondrial phosphoproteome reveals posttranslational control of ketogenesis.

Authors:  Paul A Grimsrud; Joshua J Carson; Alex S Hebert; Shane L Hubler; Natalie M Niemi; Derek J Bailey; Adam Jochem; Donald S Stapleton; Mark P Keller; Michael S Westphall; Brian S Yandell; Alan D Attie; Joshua J Coon; David J Pagliarini
Journal:  Cell Metab       Date:  2012-11-07       Impact factor: 27.287

Review 10.  Minireview: progress and challenges in proteomics data management, sharing, and integration.

Authors:  Lauren B Becnel; Neil J McKenna
Journal:  Mol Endocrinol       Date:  2012-08-17
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