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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 4: Plant Structure and Specificity – Challenges and Sample Preparation Considerations for Proteomics
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Chapter title
Plant Structure and Specificity – Challenges and Sample Preparation Considerations for Proteomics
Chapter number 4
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_4
Pubmed ID
Book ISBNs
978-3-31-941446-1, 978-3-31-941448-5
Authors

Sophie Alvarez, Michael J. Naldrett

Editors

Hamid Mirzaei, Martin Carrasco

Abstract

Plants are considered as a simple structured organism when compared to humans and other vertebrates. The number of organs and tissue types is very limited. Instead the origin of the complexity comes from the high number and variety of plant species that exist, with >300,000 compared to 5000 in mammals. Proteomics, defined as the large-scale study of the proteins present in a tissue, cell or cellular compartment at a defined time point, was introduced in 1994. However, the first publications reported in the plant proteomics field only appeared at the beginning of the twenty-first century. Since these early years, the increase of proteomic studies in plants has only followed a linear trend. The main reason for this stems from the challenges specific to studying plants, those of protein extraction from cells with variously strengthened cellulosic cell walls, and a high abundance of interfering compounds, such as phenolic compounds and pigments located in plastids throughout the plant. Indeed, the heterogeneity between different organs and tissue types, between species and different developmental stages, requires the use of optimized plant protein extraction methods as described in this section. The second bottleneck of plant proteomics, which will not be discussed or reviewed here, is the lack of genomic information. Without sequence databases of the >300,000 species, proteomic studies of plants, especially of those that are not considered economically relevant, are impossible to accomplish.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Ph. D. Student 3 20%
Other 2 13%
Student > Master 2 13%
Student > Bachelor 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 53%
Agricultural and Biological Sciences 3 20%
Chemistry 1 7%
Engineering 1 7%
Unknown 2 13%