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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 9: The Use of Titanium Dioxide for Selective Enrichment of Phosphorylated Peptides.
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Chapter title
The Use of Titanium Dioxide for Selective Enrichment of Phosphorylated Peptides.
Chapter number 9
Book title
Phospho-Proteomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3049-4_9
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

Titanium dioxide (TiO2) has very high affinity for phosphopeptides and in recent years it has become one of the most popular methods for phosphopeptide enrichment from complex biological samples. Peptide loading onto TiO2 resin in a highly acidic environment in the presence of 2,5-dihydroxybenzoic acid (DHB), phthalic acid, lactic acid, or glycolic acid has been shown to improve selectivity significantly by reducing unspecific binding of non-phosphorylated peptides. The phosphopeptides bound to the TiO2 are subsequently eluted from the chromatographic material using an alkaline buffer. TiO2 chromatography is extremely tolerant towards most buffers used in biological experiments, highly robust and as such it has become the method of choice in large-scale phosphoproteomics. Here we describe a batch mode protocol for phosphopeptide enrichment using TiO2 chromatographic material followed by desalting and concentration of the sample by reversed phase micro-columns prior to downstream MS and LC-MS/MS analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 16%
Student > Ph. D. Student 15 15%
Student > Bachelor 12 12%
Researcher 7 7%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 33 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 23%
Agricultural and Biological Sciences 16 16%
Chemistry 13 13%
Engineering 3 3%
Medicine and Dentistry 3 3%
Other 5 5%
Unknown 35 36%