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Overview of attention for book
Cover of 'Phospho-Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 A High-Resolution Two Dimensional Gel- and Pro-Q DPS-Based Proteomics Workflow for Phosphoprotein Identification and Quantitative Profiling
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    Chapter 2 Phospho-Proteomics
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    Chapter 3 Identification of Oxidative Stress-Induced Tyrosine Phosphorylated Proteins by Immunoprecipitation and Mass Spectrometry
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    Chapter 4 Enrichment and Characterization of Phosphopeptides by Immobilized Metal Affinity Chromatography (IMAC) and Mass Spectrometry
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    Chapter 5 The Use of Titanium Dioxide Micro-Columns to Selectively Isolate Phosphopeptides from Proteolytic Digests
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    Chapter 6 Enrichment and Separation of Mono- and Multiply Phosphorylated Peptides Using Sequential Elution from IMAC Prior to Mass Spectrometric Analysis
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    Chapter 7 Use of Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) for Phosphotyrosine Protein Identification and Quantitation
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    Chapter 8 Hydrophilic Interaction Chromatography for Fractionation and Enrichment of the Phosphoproteome
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    Chapter 9 SILAC for Global Phosphoproteomic Analysis
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    Chapter 10 Quantitative Phospho-proteomics Based on Soluble Nanopolymers
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    Chapter 11 Profiling the Tyrosine Phosphorylation State Using SH2 Domains
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    Chapter 12 An Overview of the Qualitative Analysis of Phosphoproteins by Mass Spectrometry
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    Chapter 13 The Analysis of Phosphoproteomes by Selective Labelling and Advanced Mass Spectrometric Techniques
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    Chapter 14 On-Line Liquid Chromatography Electron Capture Dissociation for the Characterization of Phosphorylation Sites in Proteins
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    Chapter 15 Quantification of Protein Phosphorylation by μLC-ICP-MS
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    Chapter 16 Reverse-Phase Diagonal Chromatography for Phosphoproteome Research
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    Chapter 17 Chemical Tagging Strategies for Mass Spectrometry-Based Phospho-proteomics
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    Chapter 18 Antibody array platform to monitor protein tyrosine phosphorylation in mammalian cells.
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    Chapter 19 Protein Tyrosine Kinase Characterization Based on Fully Automated Synthesis of (Phospho) Peptide Arrays in Microplates
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    Chapter 20 Kinome Profiling Using Peptide Arrays in Eukaryotic Cells
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    Chapter 21 ProMoST: A Tool for Calculating the p I and Molecular Mass of Phosphorylated and Modified Proteins on Two-Dimensional Gels
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    Chapter 22 Kinase-Specific Prediction of Protein Phosphorylation Sites
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    Chapter 23 Reconstructing Regulatory Kinase Pathways from Phosphopeptide Data: A Bioinformatics Approach
Attention for Chapter 18: Antibody array platform to monitor protein tyrosine phosphorylation in mammalian cells.
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Chapter title
Antibody array platform to monitor protein tyrosine phosphorylation in mammalian cells.
Chapter number 18
Book title
Published in
Methods in molecular biology, February 2009
DOI 10.1007/978-1-60327-834-8_18
Pubmed ID
Book ISBNs
978-1-60327-833-1, 978-1-60327-834-8

Alicia S. Chung, Y. Eugene Chin


Protein tyrosine phosphorylation plays a central role in cell-signaling and is a focus of biomedical studies and cancer therapy. However, it is still challenging to identify or characterize the coordinated changes of many candidate proteins of one particular pathway or multiple pathways simultaneously. Antibody array is a recently developed approach applied for differential analysis of multiple protein posttranslational modification events in mammalian cells. It is based on the highly specific recognition between the immobilized antibodies on the array and their specific target proteins in a high-throughput screening format. Here we have described in detail two methods for differential analysis of protein tyrosine phosphorylation in cells by (1) using a single fluorescent protein capture format on membrane array and (2) a competitive protein capture method on glass surface array.

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 %
Student > Ph. D. Student 4 27%
Researcher 4 27%
Professor 2 13%
Student > Master 2 13%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 60%
Medicine and Dentistry 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Chemistry 1 7%