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Vascular Proteomics

Overview of attention for book
Cover of 'Vascular Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Vascular Proteomics
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    Chapter 2 Vascular Proteomics
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    Chapter 3 Use of TOF-SIMS in Vascular Biology
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    Chapter 4 Proteomic Analysis of Vascular Smooth Muscle Cells with S- and R-Enantiomers of Atenolol by iTRAQ and LC-MS/MS
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    Chapter 5 Phosphoproteomic Analysis of Aortic Endothelial Cells Activated by Oxidized Phospholipids
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    Chapter 6 Vascular Proteomics
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    Chapter 7 Vascular Proteomics
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    Chapter 8 Identification of Novel Biomarkers of Abdominal Aortic Aneurysms by 2D-DIGE and MALDI-MS from AAA-Thrombus-Conditioned Media
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    Chapter 9 Metabolites Secreted by Human Atherothrombotic Aneurysm
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    Chapter 10 Quantitative Analysis of Apolipoproteins in Human HDL by Top-Down Differential Mass Spectrometry
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    Chapter 11 Quantitative Proteomics Analysis of High-Density Lipoproteins by Stable 18 O-Isotope Labeling
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    Chapter 12 Unraveling Biomarkers of Abdominal Aortic Aneurisms by iTRAQ Analysis of Depleted Plasma
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    Chapter 13 Absolute quantitation of proteins in human blood by multiplexed multiple reaction monitoring mass spectrometry.
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    Chapter 14 Multiple Reaction Monitoring (MRM) of Plasma Proteins in Cardiovascular Proteomics.
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    Chapter 15 Proteomic Analysis of Plasma of Patients with Left Ventricular Remodeling After Myocardial Infarction: Usefulness of SELDI-TOF
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    Chapter 16 Proteomic Analysis of Urinary Exosomes in Cardiovascular and Associated Kidney Diseases by Two-Dimensional Electrophoresis and LC–MS/MS
Attention for Chapter 14: Multiple Reaction Monitoring (MRM) of Plasma Proteins in Cardiovascular Proteomics.
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Chapter title
Multiple Reaction Monitoring (MRM) of Plasma Proteins in Cardiovascular Proteomics.
Chapter number 14
Book title
Vascular Proteomics
Published in
Methods in molecular biology, April 2013
DOI 10.1007/978-1-62703-405-0_14
Pubmed ID
23585093
Book ISBNs
978-1-62703-404-3, 978-1-62703-405-0
Authors

Dardé VM, Barderas MG, Vivanco F, Verónica M. Dardé, Maria G. Barderas, Fernando Vivanco, Dardé, Verónica M., Barderas, Maria G., Vivanco, Fernando

Abstract

Different methodologies have been used through years to discover new potential biomarkers related with cardiovascular risk. The conventional proteomic strategy involves a discovery phase that requires the use of mass spectrometry (MS) and a validation phase, usually on an alternative platform such as immunoassays that can be further implemented in clinical practice. This approach is suitable for a single biomarker, but when large panels of biomarkers must be validated, the process becomes inefficient and costly. Therefore, it is essential to find an alternative methodology to perform the biomarker discovery, validation, and -quantification. The skills provided by quantitative MS turn it into an extremely attractive alternative to antibody-based technologies. Although it has been traditionally used for quantification of small molecules in clinical chemistry, MRM is now emerging as an alternative to traditional immunoassays for candidate protein biomarker validation.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Chemical Engineering 2 40%
Biochemistry, Genetics and Molecular Biology 2 40%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 April 2013.
All research outputs
#18,336,865
of 22,707,247 outputs
Outputs from Methods in molecular biology
#7,850
of 13,078 outputs
Outputs of similar age
#132,432
of 175,235 outputs
Outputs of similar age from Methods in molecular biology
#20
of 33 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,078 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.

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