Literature DB >> 11325867

Cardiovascular proteomics: evolution and potential.

D K Arrell1, I Neverova, J E Van Eyk.   

Abstract

The development of proteomics is a timely one for cardiovascular research. Analyses at the organ, subcellular, and molecular levels have revealed dynamic, complex, and subtle intracellular processes associated with heart and vascular disease. The power and flexibility of proteomic analyses, which facilitate protein separation, identification, and characterization, should hasten our understanding of these processes at the protein level. Properly applied, proteomics provides researchers with cellular protein "inventories" at specific moments in time, making it ideal for documenting protein modification due to a particular disease, condition, or treatment. This is accomplished through the establishment of species- and tissue-specific protein databases, providing a foundation for subsequent proteomic studies. Evolution of proteomic techniques has permitted more thorough investigation into molecular mechanisms underlying cardiovascular disease, facilitating identification not only of modified proteins but also of the nature of their modification. Continued development should lead to functional proteomic studies, in which identification of protein modification, in conjunction with functional data from established biochemical and physiological methods, has the ability to further our understanding of the interplay between proteome change and cardiovascular disease.

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Year:  2001        PMID: 11325867     DOI: 10.1161/hh0801.090193

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


  32 in total

1.  Proteomic Protease Substrate Profiling of tPA Treatment in Acute Ischemic Stroke Patients: A Step Toward Individualizing Thrombolytic Therapy at the Bedside.

Authors:  Mingming Ning; David A Sarracino; Ferdinando S Buonanno; Bryan Krastins; Sherry Chou; David McMullin; Xiaoying Wang; Mary Lopez; Eng H Lo
Journal:  Transl Stroke Res       Date:  2010-12-01       Impact factor: 6.829

2.  Proteomic analysis of circulating human monocytes in coronary artery disease.

Authors:  Aruna Poduri; Ajay Bahl; Kewal K Talwar; Madhu Khullar
Journal:  Mol Cell Biochem       Date:  2011-09-22       Impact factor: 3.396

Review 3.  Genome informatics: current status and future prospects.

Authors:  Raimond L Winslow; Mark S Boguski
Journal:  Circ Res       Date:  2003-05-16       Impact factor: 17.367

4.  Cardioproteomics: advancing the discovery of signaling mechanisms involved in cardiovascular diseases.

Authors:  Ziyou Cui; Shannamar Dewey; Aldrin V Gomes
Journal:  Am J Cardiovasc Dis       Date:  2011-09-10

5.  Systems biology in heart diseases.

Authors:  G E Louridas; I E Kanonidis; K G Lourida
Journal:  Hippokratia       Date:  2010-01       Impact factor: 0.471

6.  Protein separation and characterization by np-RP-HPLC followed by intact MALDI-TOF mass spectrometry and peptide mass mapping analyses.

Authors:  Claire Dauly; David H Perlman; Catherine E Costello; Mark E McComb
Journal:  J Proteome Res       Date:  2006-07       Impact factor: 4.466

Review 7.  Predict, prevent and personalize: Genomic and proteomic approaches to cardiovascular medicine.

Authors:  Maral Ouzounian; Douglas S Lee; Anthony O Gramolini; Andrew Emili; Masahiro Fukuoka; Peter P Liu
Journal:  Can J Cardiol       Date:  2007-08       Impact factor: 5.223

Review 8.  K(ATP) channel-dependent metaboproteome decoded: systems approaches to heart failure prediction, diagnosis, and therapy.

Authors:  D Kent Arrell; Jelena Zlatkovic Lindor; Satsuki Yamada; Andre Terzic
Journal:  Cardiovasc Res       Date:  2011-02-14       Impact factor: 10.787

9.  AT1receptor blockade alters metabolic, functional and structural proteins after reperfused myocardial infarction: Detection using proteomics.

Authors:  Bodh I Jugdutt; Grzegorz Sawicki
Journal:  Mol Cell Biochem       Date:  2004-08       Impact factor: 3.396

10.  Role of proteases in the pathophysiology of cardiac disease.

Authors:  Raja B Singh; Sucheta P Dandekar; Vijayan Elimban; Suresh K Gupta; Naranjan S Dhalla
Journal:  Mol Cell Biochem       Date:  2004-08       Impact factor: 3.396

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