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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 10: Sequential Elution from IMAC (SIMAC): An Efficient Method for Enrichment and Separation of Mono- and Multi-phosphorylated Peptides.
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Chapter title
Sequential Elution from IMAC (SIMAC): An Efficient Method for Enrichment and Separation of Mono- and Multi-phosphorylated Peptides.
Chapter number 10
Book title
Phospho-Proteomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3049-4_10
Pubmed ID
Book ISBNs
978-1-4939-3048-7, 978-1-4939-3049-4
Authors

Tine E. Thingholm, Martin R. Larsen

Editors

Louise von Stechow

Abstract

Phosphoproteomics relies on methods for efficient purification and sequencing of phosphopeptides from highly complex biological systems, especially when using low amounts of starting material. Current methods for phosphopeptide enrichment, e.g., Immobilized Metal ion Affinity Chromatography and titanium dioxide chromatography provide varying degrees of selectivity and specificity for phosphopeptide enrichment. The number of multi-phosphorylated peptides identified in most published studies is rather low. Here we describe a protocol for a strategy that separates mono-phosphorylated peptides from multiply phosphorylated peptides using Sequential elution from Immobilized Metal ion Affinity Chromatography. The method relies on the initial enrichment and separation of mono- and multi-phosphorylated peptides using Immobilized Metal ion Affinity Chromatography and a subsequent enrichment of the mono-phosphorylated peptides using titanium dioxide chromatography. The two separate phosphopeptide fractions are then subsequently analyzed by mass spectrometric methods optimized for mono-phosphorylated and multi-phosphorylated peptides, respectively, resulting in improved identification of especially multi-phosphorylated peptides from a minimum amount of starting material.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Professor 3 9%
Researcher 3 9%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 10 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 22%
Chemistry 6 19%
Agricultural and Biological Sciences 5 16%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 11 34%