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Phospho-Proteomics

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Cover of 'Phospho-Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Thiol-ene-Enabled Detection of Thiophosphorylation as a Labeling Strategy for Phosphoproteins.
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    Chapter 2 Phosphopeptide Detection with Biotin-Labeled Phos-tag.
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    Chapter 3 Phosphopeptide Enrichment by Covalent Chromatography After Solid Phase Derivatization of Protein Digests on Reversed Phase Supports.
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    Chapter 4 Peptide Labeling Using Isobaric Tagging Reagents for Quantitative Phosphoproteomics.
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    Chapter 5 Identification of Direct Kinase Substrates Using Analogue-Sensitive Alleles.
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    Chapter 6 Quantitative Analysis of Tissue Samples by Combining iTRAQ Isobaric Labeling with Selected/Multiple Reaction Monitoring (SRM/MRM).
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    Chapter 7 Enrichment Strategies in Phosphoproteomics.
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    Chapter 8 Phosphopeptide Enrichment by Immobilized Metal Affinity Chromatography.
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    Chapter 9 The Use of Titanium Dioxide for Selective Enrichment of Phosphorylated Peptides.
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    Chapter 10 Sequential Elution from IMAC (SIMAC): An Efficient Method for Enrichment and Separation of Mono- and Multi-phosphorylated Peptides.
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    Chapter 11 Improving the Phosphoproteome Coverage for Limited Sample Amounts Using TiO2-SIMAC-HILIC (TiSH) Phosphopeptide Enrichment and Fractionation.
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    Chapter 12 Offline High pH Reversed-Phase Peptide Fractionation for Deep Phosphoproteome Coverage.
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    Chapter 13 Phosphopeptide Enrichment Using Various Magnetic Nanocomposites: An Overview.
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    Chapter 14 Two Dimensional Gel Electrophoresis-Based Plant Phosphoproteomics.
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    Chapter 15 Variable Digestion Strategies for Phosphoproteomics Analysis.
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    Chapter 16 Online LC-FAIMS-MS/MS for the Analysis of Phosphorylation in Proteins.
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    Chapter 17 Simple and Reproducible Sample Preparation for Single-Shot Phosphoproteomics with High Sensitivity.
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    Chapter 18 Identification of Direct Kinase Substrates via Kinase Assay-Linked Phosphoproteomics.
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    Chapter 19 Phosphoprotein Detection by High-Throughput Flow Cytometry.
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    Chapter 20 Resources for Assignment of Phosphorylation Sites on Peptides and Proteins.
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    Chapter 21 From Phosphosites to Kinases.
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    Chapter 22 Phospho-Proteomics
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    Chapter 23 Systems Analysis for Interpretation of Phosphoproteomics Data.
Attention for Chapter 17: Simple and Reproducible Sample Preparation for Single-Shot Phosphoproteomics with High Sensitivity.
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Chapter title
Simple and Reproducible Sample Preparation for Single-Shot Phosphoproteomics with High Sensitivity.
Chapter number 17
Book title
Phospho-Proteomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3049-4_17
Pubmed ID
Book ISBNs
978-1-4939-3048-7, 978-1-4939-3049-4
Authors

Rosa R. Jersie-Christensen, Abida Sultan, Jesper V. Olsen

Editors

Louise von Stechow

Abstract

The traditional sample preparation workflow for mass spectrometry (MS)-based phosphoproteomics is time consuming and usually requires multiple steps, e.g., lysis, protein precipitation, reduction, alkylation, digestion, fractionation, and phosphopeptide enrichment. Each step can introduce chemical artifacts, in vitro protein and peptide modifications, and contaminations. Those often result in sample loss and affect the sensitivity, dynamic range and accuracy of the mass spectrometric analysis. Here we describe a simple and reproducible phosphoproteomics protocol, where lysis, denaturation, reduction, and alkylation are performed in a single step, thus reducing sample loss and increasing reproducibility. Moreover, unlike standard cell lysis procedures the cell harvesting is performed at high temperatures (99 °C) and without detergents and subsequent need for protein precipitation. Phosphopeptides are enriched using TiO2 beads and the orbitrap mass spectrometer is operated in a sensitive mode with higher energy collisional dissociation (HCD).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Canada 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Master 11 17%
Student > Ph. D. Student 9 14%
Student > Bachelor 5 8%
Student > Postgraduate 3 5%
Other 12 19%
Unknown 13 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 38%
Agricultural and Biological Sciences 10 16%
Chemistry 6 9%
Engineering 3 5%
Computer Science 2 3%
Other 6 9%
Unknown 13 20%