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Immunoproteomics

Overview of attention for book
Cover of 'Immunoproteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to the Immune System
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    Chapter 2 Immunoproteomics: current technology and applications.
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    Chapter 3 Antigen Identification Using SEREX
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    Chapter 4 Antigen Discovery Using Whole-Genome Phage Display Libraries
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    Chapter 5 Methods and Applications of Serological Proteome Analysis
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    Chapter 6 Pre-absorbed Immunoproteomics: A Novel Method for the Detection of Bacterial Surface Proteins
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    Chapter 7 Identification of the Antigen Content of Electroimmunoprecipitates
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    Chapter 8 An Immunoproteomics Approach to Screen the Antigenicity of the Influenza Virus
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    Chapter 9 In Vivo Microbial Antigen Discovery (InMAD) to Identify Diagnostic Proteins and Polysaccharides That Are Circulating During Microbial Infections
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    Chapter 10 Chemo-Enzymatic Production of O-Glycopeptides for the Detection of Serum Glycopeptide Antibodies
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    Chapter 11 Enrichment and Characterization of Glycopeptide Epitopes from Complex Mixtures
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    Chapter 12 Whole-Cell MALDI-TOF Mass Spectrometry: A Tool for Immune Cell Analysis and Characterization
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    Chapter 13 Cell-Based Arrays for the Identification of Interacting Polypeptide Domains or Epitopes
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    Chapter 14 Identification and Quantitation of MHC Class II-Bound Peptides from Mouse Spleen Dendritic Cells by Immunoprecipitation and Mass Spectrometry Analysis
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    Chapter 15 Construction and Screening of an Antigen-Derived Peptide Library Displayed on Yeast Cell Surface for CD4+ T Cell Epitope Identification
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    Chapter 16 Profiling of Cytokine and Chemokine Responses Using Multiplex Bead Array Technology
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    Chapter 17 Preparation of the Low Molecular Weight Serum Proteome for Mass Spectrometry Analysis
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    Chapter 18 Identification of Protein Biomarkers in Human Serum Using iTRAQ and Shotgun Mass Spectrometry.
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    Chapter 19 Genome-Based Bioinformatic Prediction of Major Histocompatibility Complex (MHC) Epitopes
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    Chapter 20 Structure-Based Prediction of Major Histocompatibility Complex (MHC) Epitopes
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    Chapter 21 Prioritization of Therapeutic Targets of Inflammation Using Proteomics, Bioinformatics, and In Silico Cell–Cell Interactomics
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    Chapter 22 Commercial Considerations for Immunoproteomics
Attention for Chapter 18: Identification of Protein Biomarkers in Human Serum Using iTRAQ and Shotgun Mass Spectrometry.
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Citations

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Chapter title
Identification of Protein Biomarkers in Human Serum Using iTRAQ and Shotgun Mass Spectrometry.
Chapter number 18
Book title
Immunoproteomics
Published in
Methods in molecular biology, July 2013
DOI 10.1007/978-1-62703-589-7_18
Pubmed ID
23963945
Book ISBNs
978-1-62703-588-0, 978-1-62703-589-7
Authors

Koutroukides TA, Jaros JA, Amess B, Martins-de-Souza D, Guest PC, Rahmoune H, Levin Y, Deery M, Charles PD, Hester S, Groen A, Christoforou A, Howard J, Bond N, Bahn S, Lilley KS, Koutroukides, Theodoros A., Jaros, Julian A. J., Amess, Bob, Martins-de-Souza, Daniel, Guest, Paul C., Rahmoune, Hassan, Levin, Yishai, Deery, Mike, Charles, Philip D., Hester, Svenja, Groen, Arnoud, Christoforou, Andy, Howard, Julie, Bond, Nick, Bahn, Sabine, Lilley, Kathryn S., Theodoros A. Koutroukides, Julian A. J. Jaros, Bob Amess, Daniel Martins-de-Souza, Paul C. Guest, Hassan Rahmoune, Yishai Levin, Mike Deery, Philip D. Charles, Svenja Hester, Arnoud Groen, Andy Christoforou, Julie Howard, Nick Bond, Sabine Bahn, Kathryn S. Lilley

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Professor > Associate Professor 2 8%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 6 25%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Biochemistry, Genetics and Molecular Biology 5 21%
Chemistry 3 13%
Computer Science 2 8%
Unspecified 1 4%
Other 4 17%
Unknown 3 13%

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