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Modern Proteomics – Sample Preparation, Analysis and Practical Applications

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Cover of 'Modern Proteomics – Sample Preparation, Analysis and Practical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Proteomes, Their Compositions and Their Sources
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    Chapter 2 Protein Fractionation and Enrichment Prior to Proteomics Sample Preparation
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    Chapter 3 Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides
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    Chapter 4 Plant Structure and Specificity – Challenges and Sample Preparation Considerations for Proteomics
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    Chapter 5 Improving Proteome Coverage by Reducing Sample Complexity via Chromatography
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    Chapter 6 Database Search Engines: Paradigms, Challenges and Solutions
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    Chapter 7 Mass Analyzers and Mass Spectrometers
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    Chapter 8 Top-Down Mass Spectrometry: Proteomics to Proteoforms
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    Chapter 9 Platforms and Pipelines for Proteomics Data Analysis and Management
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    Chapter 10 Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics
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    Chapter 11 Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results
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    Chapter 12 Protein Inference
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    Chapter 13 Modification Site Localization in Peptides
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    Chapter 14 Useful Web Resources
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    Chapter 15 Mass Spectrometry-Based Protein Quantification
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    Chapter 16 Bioinformatics Tools for Proteomics Data Interpretation
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    Chapter 17 Identification, Quantification, and Site Localization of Protein Posttranslational Modifications via Mass Spectrometry-Based Proteomics
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    Chapter 18 Protein-Protein Interaction Detection Via Mass Spectrometry-Based Proteomics
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    Chapter 19 Protein Structural Analysis via Mass Spectrometry-Based Proteomics
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    Chapter 20 Introduction to Clinical Proteomics
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    Chapter 21 Discovery of Candidate Biomarkers
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    Chapter 22 Statistical Approaches to Candidate Biomarker Panel Selection
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    Chapter 23 Qualification and Verification of Protein Biomarker Candidates
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    Chapter 24 Protocol for Standardizing High-to-Moderate Abundance Protein Biomarker Assessments Through an MRM-with-Standard-Peptides Quantitative Approach
Attention for Chapter 3: Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides
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Chapter title
Sample Preparation for Mass Spectrometry-Based Proteomics; from Proteomes to Peptides
Chapter number 3
Book title
Modern Proteomics – Sample Preparation, Analysis and Practical Applications
Published in
Advances in experimental medicine and biology, December 2016
DOI 10.1007/978-3-319-41448-5_3
Pubmed ID
Book ISBNs
978-3-31-941446-1, 978-3-31-941448-5
Authors

John C. Rogers, Ryan D. Bomgarden

Editors

Hamid Mirzaei, Martin Carrasco

Abstract

Mass spectrometry (MS) has become the predominant technology to analyze proteins due to it ability to identify and characterize proteins and their modifications with high sensitivity and selectivity (Aebersold and Mann, Nature 422(6928):198-207, 2003; Han et al., Curr Opin Chem Biol 12(5):483-490, 2008). While mass spectrometry instruments have improved rapidly over the past couple of decades, mass spectrometry results have remained largely dependent on sample preparation and quality. Sample ionization and mass measurements are susceptible to a wide variety of interferences, including buffers, salts, polymers, and detergents. These contaminants also impair MS system performance, often requiring time consuming maintenance or costly repairs to restore function. The goal of this chapter is to describe the rationale, considerations, and general techniques used to prepare samples for proteomic mass spectrometry analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 131 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Researcher 20 15%
Student > Master 20 15%
Student > Bachelor 15 11%
Student > Doctoral Student 4 3%
Other 12 9%
Unknown 31 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 36%
Agricultural and Biological Sciences 12 9%
Chemistry 12 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Medicine and Dentistry 5 4%
Other 11 8%
Unknown 37 28%