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Peptide Microarrays

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Cover of 'Peptide Microarrays'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Peptide Arrays on Planar Supports.
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    Chapter 2 High-Throughput Microarray Incubations Using Multi-Well Chambers.
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    Chapter 3 Analysis of Protein Tyrosine Kinase Specificity Using Positional Scanning Peptide Microarrays.
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    Chapter 4 Secondary Structure Determination of Peptides and Proteins After Immobilization.
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    Chapter 5 Peptides and Anti-peptide Antibodies for Small and Medium Scale Peptide and Anti-peptide Affinity Microarrays: Antigenic Peptide Selection, Immobilization, and Processing.
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    Chapter 6 Low-Cost Peptide Microarrays for Mapping Continuous Antibody Epitopes
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    Chapter 7 The Peptide Microarray-Based Resonance Light Scattering Assay for Sensitively Detecting Intracellular Kinase Activity.
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    Chapter 8 Anomalous Reflection of Gold: A Novel Platform for Biochips.
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    Chapter 9 High-Throughput Peptide Screening on a Bimodal Imprinting Chip Through MS-SPRi Integration.
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    Chapter 10 Analyzing Peptide Microarray Data with the R pepStat Package.
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    Chapter 11 Chemoselective Strategies to Peptide and Protein Bioprobes Immobilization on Microarray Surfaces.
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    Chapter 12 Manufacturing of Peptide Microarrays Based on Catalyst-Free Click Chemistry.
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    Chapter 13 Clickable Polymeric Coating for Oriented Peptide Immobilization.
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    Chapter 14 Oriented Peptide Immobilization on Microspheres.
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    Chapter 15 A Cell Microarray Format: A Peptide Release System Using a Photo-Cleavable Linker for Cell Toxicity and Cell Uptake Analysis.
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    Chapter 16 Peptide Microarrays for Medical Applications in Autoimmunity, Infection, and Cancer.
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    Chapter 17 Synthetic Peptide-Based ELISA and ELISpot Assay for Identifying Autoantibody Epitopes.
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    Chapter 18 IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay.
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    Chapter 19 IgE Epitope Mapping Using Peptide Microarray Immunoassay.
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    Chapter 20 Spot Synthesis: An Optimized Microarray to Detect IgE Epitopes.
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    Chapter 21 Mapping of Epitopes Occurring in Bovine αs1-Casein Variants by Peptide Microarray Immunoassay.
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    Chapter 22 Erratum To: Peptide Arrays on Planar Supports.
Attention for Chapter 18: IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay.
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Chapter title
IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay.
Chapter number 18
Book title
Peptide Microarrays
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3037-1_18
Pubmed ID
Book ISBNs
978-1-4939-3036-4, 978-1-4939-3037-1
Authors

Martínez-Botas, Javier, de la Hoz, Belén, Javier Martínez-Botas, Belén de la Hoz

Editors

Marina Cretich, Marcella Chiari

Abstract

Peptide microarrays are a powerful tool to identify linear epitopes of food allergens in a high-throughput manner. The main advantages of the microarray-based immunoassay are the possibility to assay thousands of targets simultaneously, the requirement of a low volume of serum, the more robust statistical analysis, and the possibility to test simultaneously several immunoglobulin subclasses. Among them, the last one has a special interest in the field of food allergy, because the development of tolerance to food allergens has been associated with a decrease in IgE and an increase in IgG4 levels against linear epitopes. However, the main limitation to the clinical use of microarray is the automated analysis of the data. Recent studies mapping the linear epitopes of food allergens with peptide microarray immunoassays have identified peptide biomarkers that can be used for early diagnosis of food allergies and to predict their severity or the self-development of tolerance. Using this approach, we have worked on epitope mapping of the two most important food allergens in the Spanish population, cow's milk and chicken eggs. The final aim of these studies is to define subsets of peptides that could be used as biomarkers to improve the diagnosis and prognosis of food allergies. This chapter describes the protocol to produce microarrays using a library of overlapping peptides corresponding to the primary sequences of food allergens and data acquisition and analysis of IgE- and IgG4-binding epitopes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Immunology and Microbiology 2 18%
Agricultural and Biological Sciences 2 18%
Medicine and Dentistry 2 18%
Sports and Recreations 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 August 2016.
All research outputs
#15,119,744
of 24,449,189 outputs
Outputs from Methods in molecular biology
#4,263
of 13,790 outputs
Outputs of similar age
#209,640
of 403,317 outputs
Outputs of similar age from Methods in molecular biology
#398
of 1,460 outputs
Altmetric has tracked 24,449,189 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,790 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 67% of its peers.
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We're also able to compare this research output to 1,460 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.