Literature DB >> 21335431

Overview: the maturing of proteomics in cardiovascular research.

Jennifer E Van Eyk1.   

Abstract

Proteomic technologies are used to study the complexity of proteins, their roles, and biological functions. It is based on the premise that the diversity of proteins, comprising their isoforms, and posttranslational modifications (PTMs) underlies biology. Based on an annotated human cardiac protein database, 62% have at least one PTM (phosphorylation currently dominating), whereas ≈25% have more than one type of modification. The field of proteomics strives to observe and quantify this protein diversity. It represents a broad group of technologies and methods arising from analytic protein biochemistry, analytic separation, mass spectrometry, and bioinformatics. Since the 1990s, the application of proteomic analysis has been increasingly used in cardiovascular research. Technology development and adaptation have been at the heart of this progress. Technology undergoes a maturation, becoming routine and ultimately obsolete, being replaced by newer methods. Because of extensive methodological improvements, many proteomic studies today observe 1000 to 5000 proteins. Only 5 years ago, this was not feasible. Even so, there are still road blocks. Nowadays, there is a focus on obtaining better characterization of protein isoforms and specific PTMs. Consequently, new techniques for identification and quantification of modified amino acid residues are required, as is the assessment of single-nucleotide polymorphisms in addition to determination of the structural and functional consequences. In this series, 4 articles provide concrete examples of how proteomics can be incorporated into cardiovascular research and address specific biological questions. They also illustrate how novel discoveries can be made and how proteomic technology has continued to evolve.

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Year:  2011        PMID: 21335431      PMCID: PMC3500592          DOI: 10.1161/CIRCRESAHA.110.226894

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  98 in total

1.  An alternative strategy to determine the mitochondrial proteome using sucrose gradient fractionation and 1D PAGE on highly purified human heart mitochondria.

Authors:  Steven W Taylor; Dale E Warnock; Gary M Glenn; Bing Zhang; Eoin Fahy; Sara P Gaucher; Roderick A Capaldi; Bradford W Gibson; Soumitra S Ghosh
Journal:  J Proteome Res       Date:  2002 Sep-Oct       Impact factor: 4.466

Review 2.  The phosphoproteomics data explosion.

Authors:  Simone Lemeer; Albert J R Heck
Journal:  Curr Opin Chem Biol       Date:  2009-07-19       Impact factor: 8.822

Review 3.  Antibody-based proteomics: analysis of signaling networks using reverse protein arrays.

Authors:  Hans Voshol; Markus Ehrat; Jens Traenkle; Eric Bertrand; Jan van Oostrum
Journal:  FEBS J       Date:  2009-10-26       Impact factor: 5.542

4.  Activation of the hexosamine biosynthesis pathway and protein O-GlcNAcylation modulate hypertrophic and cell signaling pathways in cardiomyocytes from diabetic mice.

Authors:  Susan A Marsh; Louis J Dell'Italia; John C Chatham
Journal:  Amino Acids       Date:  2010-07-30       Impact factor: 3.520

5.  Analysis of the cGMP/cAMP interactome using a chemical proteomics approach in mammalian heart tissue validates sphingosine kinase type 1-interacting protein as a genuine and highly abundant AKAP.

Authors:  Arjen Scholten; Mee Kian Poh; Toon A B van Veen; Bas van Breukelen; Marc A Vos; Albert J R Heck
Journal:  J Proteome Res       Date:  2006-06       Impact factor: 4.466

6.  Transgenic mouse model of stunned myocardium.

Authors:  A M Murphy; H Kögler; D Georgakopoulos; J L McDonough; D A Kass; J E Van Eyk; E Marbán
Journal:  Science       Date:  2000-01-21       Impact factor: 47.728

Review 7.  TGF-beta1 interactome: metastasis and beyond.

Authors:  M Perera; C S Tsang; R J Distel; J N Lacy; L Ohno-Machado; V Ricchiuti; L P Samaranayake; G B Smejkal; M G Smith; A J Trachtenberg; Winston Patrick Kuo
Journal:  Cancer Genomics Proteomics       Date:  2010 Jul-Aug       Impact factor: 4.069

8.  Towards a human proteome atlas: high-throughput generation of mono-specific antibodies for tissue profiling.

Authors:  Peter Nilsson; Linda Paavilainen; Karin Larsson; Jenny Odling; Mårten Sundberg; Ann-Catrin Andersson; Caroline Kampf; Anja Persson; Cristina Al-Khalili Szigyarto; Jenny Ottosson; Erik Björling; Sophia Hober; Henrik Wernérus; Kenneth Wester; Fredrik Pontén; Mathias Uhlen
Journal:  Proteomics       Date:  2005-11       Impact factor: 3.984

9.  Enrichment and site mapping of O-linked N-acetylglucosamine by a combination of chemical/enzymatic tagging, photochemical cleavage, and electron transfer dissociation mass spectrometry.

Authors:  Zihao Wang; Namrata D Udeshi; Meaghan O'Malley; Jeffrey Shabanowitz; Donald F Hunt; Gerald W Hart
Journal:  Mol Cell Proteomics       Date:  2009-08-19       Impact factor: 5.911

Review 10.  Lessons from structural genomics.

Authors:  Thomas C Terwilliger; David Stuart; Shigeyuki Yokoyama
Journal:  Annu Rev Biophys       Date:  2009       Impact factor: 12.981

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  26 in total

1.  An integrated metabonomic and proteomic study on Kidney-Yin Deficiency Syndrome patients with diabetes mellitus in China.

Authors:  Ning Jiang; Hong-fang Liu; Si-di Li; Wen-xia Zhou; Yong-xiang Zhang; Qi Zhang; Xian-zhong Yan
Journal:  Acta Pharmacol Sin       Date:  2015-05-04       Impact factor: 6.150

2.  Differential protein expression and basal lamina remodeling in human heart failure.

Authors:  Evelyn H Kim; Vladimir I Galchev; Jin Young Kim; Sean A Misek; Tamara K Stevenson; Matthew D Campbell; Francis D Pagani; Sharlene M Day; T Craig Johnson; Joseph G Washburn; Karen L Vikstrom; Daniel E Michele; David E Misek; Margaret V Westfall
Journal:  Proteomics Clin Appl       Date:  2016-01-25       Impact factor: 3.494

3.  Quantitative phosphoproteomics using acetone-based peptide labeling: method evaluation and application to a cardiac ischemia/reperfusion model.

Authors:  Aruna B Wijeratne; Janet R Manning; Jo El J Schultz; Kenneth D Greis
Journal:  J Proteome Res       Date:  2013-09-24       Impact factor: 4.466

Review 4.  Posttranslational control of HuR function.

Authors:  Ioannis Grammatikakis; Kotb Abdelmohsen; Myriam Gorospe
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-06-16       Impact factor: 9.957

Review 5.  Secreted proteins as a fundamental source for biomarker discovery.

Authors:  Miroslava Stastna; Jennifer E Van Eyk
Journal:  Proteomics       Date:  2012-01-19       Impact factor: 3.984

Review 6.  The actin 'A-triad's' role in contractile regulation in health and disease.

Authors:  William Schmidt; Anthony Cammarato
Journal:  J Physiol       Date:  2019-03-28       Impact factor: 5.182

Review 7.  Quantitative proteomics in cardiovascular research: global and targeted strategies.

Authors:  Xiaomeng Shen; Rebeccah Young; John M Canty; Jun Qu
Journal:  Proteomics Clin Appl       Date:  2014-07-14       Impact factor: 3.494

8.  Cardiac myosin binding protein-C: a potential early-stage, cardiac-specific biomarker of ischemia-reperfusion injury.

Authors:  Sakthivel Sadayappan
Journal:  Biomark Med       Date:  2012-02       Impact factor: 2.851

9.  Quantitative phosphoproteomic study of pressure-overloaded mouse heart reveals dynamin-related protein 1 as a modulator of cardiac hypertrophy.

Authors:  Yu-Wang Chang; Ya-Ting Chang; Qinchuan Wang; Jim Jung-Ching Lin; Yu-Ju Chen; Chien-Chang Chen
Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

Review 10.  Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.

Authors:  G Currie; C Delles
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

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