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Heart Proteomics

Overview of attention for book
Cover of 'Heart Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Large-Scale Characterization of the Murine Cardiac Proteome
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    Chapter 2 Determining Protein Concentrations of the Human Ventricular Proteome
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    Chapter 3 Multidimensional Protein Identification Technology for Direct-Tissue Proteomics of Heart
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    Chapter 4 Global Protein Quantification of Mouse Heart Tissue Based on the SILAC Mouse
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    Chapter 5 Global Proteomic Profiling and Enrichment Maps of Dilated Cardiomyopathy
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    Chapter 6 Characterization of the human myocardial proteome in dilated cardiomyopathy by label-free quantitative shotgun proteomics of heart biopsies.
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    Chapter 7 Systems Proteomics of Healthy and Diseased Chromatin
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    Chapter 8 Proteomic Analysis of Interstitial Aortic Valve Cells Acquiring a Pro-calcific Profile
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    Chapter 9 Differential Protein Expression Analysis of Degenerative Aortic Stenosis by iTRAQ Labeling
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    Chapter 10 Characterization of Zebrafish Cardiac Proteome Using Online pH Gradient SCX–RP HPLC–MS/MS Platform
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    Chapter 11 Proteomic Analysis of Brain Mitochondrial Proteome and Mitochondrial Complexes
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    Chapter 12 Oxidative Modifications of Mitochondria Complex II
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    Chapter 13 Detection of O -GlcNAc Modifications on Cardiac Myofilament Proteins
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    Chapter 14 Quantification of Mitochondrial S-Nitrosylation by CysTMT 6 Switch Assay
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    Chapter 15 Identification of Thioredoxin Target Protein Networks in Cardiac Tissues of a Transgenic Mouse
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    Chapter 16 Using Pure Protein to Build a Multiple Reaction Monitoring Mass Spectrometry Assay for Targeted Detection and Quantitation
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    Chapter 17 A sequential extraction methodology for cardiac extracellular matrix prior to proteomics analysis.
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    Chapter 18 Optimized Method for Identification of the Proteomes Secreted by Cardiac Cells
  20. Altmetric Badge
    Chapter 19 Heart Proteomics
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    Chapter 20 A Comparative Study of Immunodepletion and Equalization Methods for Aortic Stenosis Human Plasma
Attention for Chapter 17: A sequential extraction methodology for cardiac extracellular matrix prior to proteomics analysis.
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Chapter title
A sequential extraction methodology for cardiac extracellular matrix prior to proteomics analysis.
Chapter number 17
Book title
Heart Proteomics
Published in
Methods in molecular biology, April 2013
DOI 10.1007/978-1-62703-386-2_17
Pubmed ID
Book ISBNs
978-1-62703-385-5, 978-1-62703-386-2
Authors

Barallobre-Barreiro J, Didangelos A, Yin X, Doménech N, Mayr M, Javier Barallobre-Barreiro, Athanasios Didangelos, Xiaoke Yin, Nieves Doménech, Manuel Mayr, Barallobre-Barreiro, Javier, Didangelos, Athanasios, Yin, Xiaoke, Doménech, Nieves, Mayr, Manuel

Abstract

Cardiac fibrosis is characterized by excessive deposition of extracellular matrix (ECM) and is a common complication of various cardiovascular diseases. However, little is known about proteins in the cardiac extracellular space. Proteomics analysis of cardiac ECM can be challenging due to the presence of more abundant intracellular proteins, the low degree of solubility of integral ECM proteins, and the presence of abundant posttranslational modifications. Here we describe an extraction methodology based on tissue decellularization, which allows the biochemical subfractionation of extracellular proteins in cardiac tissue. These relatively low-complexity protein fractions are suitable for analysis by gel-LC-MS/MS and other proteomics techniques.

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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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Brazil 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Researcher 8 23%
Student > Bachelor 3 9%
Student > Master 3 9%
Professor 2 6%
Other 4 11%
Unknown 7 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 37%
Medicine and Dentistry 5 14%
Engineering 5 14%
Agricultural and Biological Sciences 2 6%
Chemistry 1 3%
Other 1 3%
Unknown 8 23%
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 29 April 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Methods in molecular biology
#7,849
of 13,077 outputs
Outputs of similar age
#146,115
of 194,081 outputs
Outputs of similar age from Methods in molecular biology
#18
of 29 outputs
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