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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
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    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 6: Characterization of the human myocardial proteome in dilated cardiomyopathy by label-free quantitative shotgun proteomics of heart biopsies.
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Chapter title
Characterization of the human myocardial proteome in dilated cardiomyopathy by label-free quantitative shotgun proteomics of heart biopsies.
Chapter number 6
Book title
Heart Proteomics
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-386-2_6
Pubmed ID
23606249
Book ISBNs
978-1-62703-385-5, 978-1-62703-386-2
Authors

Elke Hammer, Katrin Darm, Uwe Völker, Hammer, Elke, Darm, Katrin, Völker, Uwe

Abstract

Proteomic profiling of heart tissue might help to discover the molecular events related to or even causing cardiovascular diseases in human. However, this material is rare and only available from biopsies taken for diagnostics, e.g., assessment of inflammatory events or virus persistence. Within this chapter, we describe a workflow for the quantitative proteome analysis of heart biopsies. Starting with 1-2 mg of tissue material, crude protein extracts were prepared, digested with LysC and trypsin, and then analyzed by LC-ESI-tandem mass spectrometry. Due to the low technical variance, the method can be used for label-free quantitation of disease-specific alterations in the human heart. Methods discussed include homogenization of biopsy tissue, sample preparation, proteolytic digestion, as well as data analysis for label-free quantitation.

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Doctoral Student 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Student > Postgraduate 2 8%
Other 5 20%
Unknown 3 12%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 3 12%
Computer Science 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 5 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 31 May 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Methods in molecular biology
#7,850
of 13,078 outputs
Outputs of similar age
#218,008
of 280,717 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
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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 340 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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