Literature DB >> 21705516

In-depth quantitative cardiac proteomics combining electron transfer dissociation and the metalloendopeptidase Lys-N with the SILAC mouse.

Arjen Scholten1, Shabaz Mohammed, Teck Y Low, Sara Zanivan, Toon A B van Veen, Bernard Delanghe, Albert J R Heck.   

Abstract

In quantitative proteomics stable isotope labeling has progressed from cultured cells toward the total incorporation of labeled atoms or amino acids into whole multicellular organisms. For instance, the recently introduced (13)C(6)-lysine labeled SILAC mouse allows accurate comparison of protein expression directly in tissue. In this model, only lysine, but not arginine, residues are isotope labeled, as the latter may cause complications to the quantification by in vivo conversion of arginine to proline. The sole labeling of lysines discourages the use of trypsin, as not all peptides will be quantifiable. Therefore, in the initial work Lys-C was used for digestion. Here, we demonstrate that the lysine-directed protease metalloendopeptidase Lys-N is an excellent alternative. As lysine directed peptides generally yield longer and higher charged peptides, alongside the more traditional collision induced dissociation we also implemented electron transfer dissociation in a quantitative stable isotope labeling with amino acid in cell culture workflow for the first time. The utility of these two complementary approaches is highlighted by investigating the differences in protein expression between the left and right ventricle of a mouse heart. Using Lys-N and electron transfer dissociation yielded coverage to a depth of 3749 proteins, which is similar as earlier investigations into the murine heart proteome. In addition, this strategy yields quantitative information on ∼ 2000 proteins with a median coverage of four peptides per protein in a single strong cation exchange-liquid chromatography-MS experiment, revealing that the left and right ventricle proteomes are very similar qualitatively as well as quantitatively.

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Year:  2011        PMID: 21705516      PMCID: PMC3205878          DOI: 10.1074/mcp.O111.008474

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


  29 in total

1.  The human heart proteome: Two-dimensional maps using narrow-range immobilised pH gradients.

Authors:  Jules A Westbrook; Jun X Wheeler; Robin Wait; Sandy Y Welson; Michael J Dunn
Journal:  Electrophoresis       Date:  2006-04       Impact factor: 3.535

Review 2.  Quantitative mass spectrometry in proteomics: a critical review.

Authors:  Marcus Bantscheff; Markus Schirle; Gavain Sweetman; Jens Rick; Bernhard Kuster
Journal:  Anal Bioanal Chem       Date:  2007-08-01       Impact factor: 4.142

Review 3.  The right ventricle: anatomy, physiology and clinical imaging.

Authors:  Florence Sheehan; Andrew Redington
Journal:  Heart       Date:  2008-11       Impact factor: 5.994

4.  Strong cation exchange-based fractionation of Lys-N-generated peptides facilitates the targeted analysis of post-translational modifications.

Authors:  Nadia Taouatas; A F Maarten Altelaar; Madalina M Drugan; Andreas O Helbig; Shabaz Mohammed; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2008-09-29       Impact factor: 5.911

5.  Multiplexed proteomics mapping of yeast RNA polymerase II and III allows near-complete sequence coverage and reveals several novel phosphorylation sites.

Authors:  Shabaz Mohammed; Kristina Lorenzen; Robert Kerkhoven; Bas van Breukelen; Alessandro Vannini; Patrick Cramer; Albert J R Heck
Journal:  Anal Chem       Date:  2008-04-17       Impact factor: 6.986

6.  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

7.  Genomic profiling of left and right ventricular hypertrophy in congenital heart disease.

Authors:  Beth D Kaufman; Manisha Desai; Sushma Reddy; Juan Carlos Osorio; Jonathan M Chen; Ralph S Mosca; Anthony W Ferrante; Seema Mital
Journal:  J Card Fail       Date:  2008-07-15       Impact factor: 5.712

8.  Straightforward ladder sequencing of peptides using a Lys-N metalloendopeptidase.

Authors:  Nadia Taouatas; Madalina M Drugan; Albert J R Heck; Shabaz Mohammed
Journal:  Nat Methods       Date:  2008-04-20       Impact factor: 28.547

9.  Decision tree-driven tandem mass spectrometry for shotgun proteomics.

Authors:  Danielle L Swaney; Graeme C McAlister; Joshua J Coon
Journal:  Nat Methods       Date:  2008-10-19       Impact factor: 28.547

10.  Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system.

Authors:  Lyris M F de Godoy; Jesper V Olsen; Gustavo A de Souza; Guoqing Li; Peter Mortensen; Matthias Mann
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

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  12 in total

1.  Regulation of oxidative phosphorylation complex activity: effects of tissue-specific metabolic stress within an allometric series and acute changes in workload.

Authors:  Darci Phillips; Raul Covian; Angel M Aponte; Brian Glancy; Joni F Taylor; David Chess; Robert S Balaban
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2012-02-29       Impact factor: 3.619

2.  Right ventricular protein expression profile in end-stage heart failure.

Authors:  Yan Ru Su; Manuel Chiusa; Evan Brittain; Anna R Hemnes; Tarek S Absi; Chee Chew Lim; Thomas G Di Salvo
Journal:  Pulm Circ       Date:  2015-09       Impact factor: 3.017

Review 3.  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

4.  Homogenous protein programming in the mammalian left and right ventricle free walls.

Authors:  Darci Phillips; Angel M Aponte; Raul Covian; Edward Neufeld; Zu-Xi Yu; Robert S Balaban
Journal:  Physiol Genomics       Date:  2011-08-30       Impact factor: 3.107

5.  A Simple Light Isotope Metabolic Labeling (SLIM-labeling) Strategy: A Powerful Tool to Address the Dynamics of Proteome Variations In Vivo.

Authors:  Thibaut Léger; Camille Garcia; Laetitia Collomb; Jean-Michel Camadro
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

Review 6.  Proteomic analysis of the cardiac extracellular matrix: clinical research applications.

Authors:  Merry L Lindsey; Mira Jung; Michael E Hall; Kristine Y DeLeon-Pennell
Journal:  Expert Rev Proteomics       Date:  2018-01-09       Impact factor: 3.940

Review 7.  Guidelines for evaluating myocardial cell death.

Authors:  Paras K Mishra; Adriana Adameova; Joseph A Hill; Christopher P Baines; Peter M Kang; James M Downey; Jagat Narula; Masafumi Takahashi; Antonio Abbate; Hande C Piristine; Sumit Kar; Shi Su; Jason K Higa; Nicholas K Kawasaki; Takashi Matsui
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-08-16       Impact factor: 4.733

Review 8.  Sample preparation techniques for the untargeted LC-MS-based discovery of peptides in complex biological matrices.

Authors:  Inez Finoulst; Martijn Pinkse; William Van Dongen; Peter Verhaert
Journal:  J Biomed Biotechnol       Date:  2011-12-12

9.  Proteomic analyses reveal divergent ubiquitylation site patterns in murine tissues.

Authors:  Sebastian A Wagner; Petra Beli; Brian T Weinert; Christian Schölz; Christian D Kelstrup; Clifford Young; Michael L Nielsen; Jesper V Olsen; Cord Brakebusch; Chunaram Choudhary
Journal:  Mol Cell Proteomics       Date:  2012-07-11       Impact factor: 5.911

Review 10.  Proteomic profiling of the dystrophin-deficient mdx phenocopy of dystrophinopathy-associated cardiomyopathy.

Authors:  Ashling Holland; Kay Ohlendieck
Journal:  Biomed Res Int       Date:  2014-03-20       Impact factor: 3.411

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