6 edition of Proteomic and genomic analysis of cardiovascular disease found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Jennifer E. Van Eyk and Michael J. Dunn.|
|Contributions||Van Eyk, Jennifer E., 1959-, Dunn, Michael J., 1936-|
|LC Classifications||RC669.9 .P76 2003|
|The Physical Object|
|Pagination||xxvii, 396 p. :|
|Number of Pages||396|
|LC Control Number||2003279641|
known. A major obstacle to the proteomic analysis of vessels is their heterogeneous cellular composition. Most attempts to Development of Biomarkers in Cardiovascular Disease Molecular & Cellular Proteomics at UCLA-Louise Darling Biomed Lib on Febru Downloaded from. Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes.
proteomics, microarray proﬁling, and pathway analysis in animal models and human tissues, is gaining momentum in research and clinical applications. Proteomic analysis has provided important insights into ischemic heart disease, heart failure, and cardiovascular pathophysiology. Biomedical research has entered a new era of characterizing a disease or a protein on a global scale. In the post-genomic era, Proteomics now plays an increasingly important role in dissecting molecular functions of proteins and discovering biomarkers in human diseases. Mass spectrometry, two-dimensional gel electrophoresis, and high-density antibody and protein arrays are some of the most.
Similarly, proteomic analysis of a myocardial biopsy specimen may provide useful prognostic information in patients with unexplained heart failure or in cardiac transplant recipients. In addition, therapeutic strategies in these diseases can be tailored to the overabundance, deficiency, or altered function of a specific protein or proteins. Multivariate analysis of 1H-NMR spectra of blood sera was reported previously to predict angiographically defined advanced coronary artery disease .
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"This is a delightful book with something to offer both novice and experts in the field.” (Modern Pathology, October ) "In summary, this book provides a strong foundation in genomic and proteomic methodology and will bring the reader to the forefront in the use of these tools in cardiovascular disease.
Proteomic and genomic analysis of cardiovascular disease book is a delightful book with something to offer both novice and experts in the field.” (Modern Pathology, October ) "In summary, this book provides a strong foundation in genomic and proteomic methodology and will bring the reader to the forefront in the use of these tools in cardiovascular disease research.”Clinical Chemistry.
Proteomic and Genomic Analysis of Cardiovascular Disease by Jennifer E. Van Eyk (Repost) Proteomic and Genomic Analysis of Cardiovascular Disease Cardiovascular Disease, Volume 1: Genetics By Qing Wang.
Get this from a library. Proteomic and genomic analysis of cardiovascular disease. [Jennifer E Van Eyk; M J Dunn;] -- This is the very first book to focus on this new approach that will eventually aid in developing new diagnostic markers and therapies for controlling and treating heart disease.
In summary, this book provides a strong foundation in genomic and proteomic methodology and will bring the reader to the forefront in the use of these tools in cardiovascular disease research.
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Proteomic and genomic analysis of cardiovascular disease. Jennifer E Van Eyk, Michael J Dunn (eds). Chichester: John Wiley & Sons Ltd,pp.(HB) E-mail address: [email protected] Department of Pathology, BoxUniversity of Washington, Seattle, WA ‐, USA.
Search for more papers by this author. Genomics of CVD studies the impact of DNA variation on CVD and its risk factors. Over the past decades, remarkable progress has been made in identifying and functionally characterizing genetic variants that are associated with multiple CVD conditions.2, 3 Proteomics, which studies systematic profiling of proteins, provides opportunities for unbiased discovery of novel markers to.
Abstract. Genomics can be broadly defined as the systematic study of genes, their functions, and their interactions. Analogously, proteomics is the study of proteins, protein complexes, their localization, their interactions, and posttranslational modifications.
Some years ago, genomics and proteomics studies focused on one gene or one protein at a time. Proteomic and Genomic Analysis of Cardiovascular Diseases Edited by Jennifer E. Van Eyk and Michael Dunn Wiley-VCH, Darmstadt, Germany; ; ISBN ; pp.; e This is a very good book, whose best virtue is that it reliably reﬂects the current status of genomics and pro-teomics in the cardiovascular area.
The inclusion of both. This book is also unique in that a lot of effort has been focused on the use of genomic and proteomic analysis for studying cancer, but this is the first book that comprehensively describes the application of these techniques to cardiovascular disease.
The book is composed of 21 chapters, and each is written by a leader in this field of. Purchase Post-Genomic Cardiology - 2nd Edition. Print Book & E-Book. ISBNHeart Failure: A Genomics Approach (C. Liew).Principles of cDNA Microarrays as Applied in Heart Failure Research (S.
Arab, et al.).Gene Profiling in the Heart by Subtractive Hybridization (C. Depre).DNA Mircoarray Gene Profiling: A Tool for the Elucidation of Cardioprotective Genes (E. Murphy, et al.).Pitfalls Associated with cDNA Microarrays. Genomic, proteomic, and metabolomic studies of complex cardiovascular diseases such as atherosclerosis will bridge epidemiology and basic biology, and promise increased understanding of cardiovascular disease processes.
Genetic approaches applied to atherosclerosis will continue to identify genes and pathways involved in the predisposition to. Human genome maps help researchers in their efforts to identify human disease-causing genes related to illnesses such as cancer, heart disease, and cystic fibrosis, to name a few.
In addition, genome mapping can be used to help identify organisms with beneficial traits, such as microbes with the ability to clean up pollutants or even prevent. Proteomic strategies. There are two major proteomic strategies: gel-based proteomics and gel-free proteomics.
Both these separation methods are combined with either top-down or bottom-up mass spectrometry (MS) [2–4, 7–9].In gel-based proteomics, protein extracts are usually separated by 2-dimensional gel electrophoresis (2-DE) or 2-dimensional fluorescence difference gel electrophoresis.
Book Title: Methods Mol Biol Author List: Yan C. Published By: N/A Chapter Title: Identification of secreted oxidative stress-induced factors (SOXF) and associated proteins: proteomics in vascular biology Book Title: In Proteomic and Genomic Analysis of Cardiovascular Disease Author List: Jin Z-G, Liao D-F, Yan C, and Berk BC.
A major challenge is the integration of biochemical, genetic and proteomic data to better understand organisms and disease states.
Systems biology is an emerging cross-disciplinary science that aims to integrate the study of organisms in terms of their fundamental structure rather than their individual cellular and molecular make-up. Genomic Analysis in Platelets. Novel Methods for Platelet Genomic Analysis.
Platelet Proteomics. Methods of proteomic analysis. Identification of platelet proteins using proteomics. Platelet Transcription. Microarray analysis. SAGE analysis. Platelet Transcriptome. Conclusion. References. Francke S, Manraj M, Lacquemant C, et al. A genome-wide scan for coronary heart disease suggests in Indo-Mauritians a susceptibility locus on chromosome 16p13 and replicates linkage with the metabolic syndrome on 3q Hum Mol Genet ;– PubMed CrossRef Google Scholar.
Chen, G. et al. Proteomic analysis of lung adenocarcinoma: identification of a highly expressed set of proteins in tumors. Clin. Cancer Res. 8, – ().Genomes and proteomes of patients suffering from specific diseases are being studied to understand the genetic basis of the disease.
The most prominent disease being studied with proteomic approaches is cancer (Figure ). Proteomic approaches are being used to improve the screening and early detection of cancer; this is achieved by.