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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 Exploring and profiling protein function with peptide arrays.
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    Chapter 2 Peptide Arrays for Enzyme Profiling
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    Chapter 3 Using Peptide Array to Identify Binding Motifs and Interaction Networks for Modular Domains
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    Chapter 4 Molecular Simulations of Peptides: A Useful Tool for the Development of New Drugs and for the Study of Molecular Recognition
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    Chapter 5 Synthesis of Peptide Arrays Using SPOT-Technology and the CelluSpots-Method
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    Chapter 6 Rapid Identification of Linear Protein Domain Binding Motifs Using Peptide SPOT Arrays
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    Chapter 7 Characterization of Kinase Target Phosphorylation Consensus Motifs Using Peptide SPOT Arrays
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    Chapter 8 CelluSpots™: A Reproducible Means of Making Peptide Arrays for the Determination of SH2 Domain Binding Specificity
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    Chapter 9 High-Density Peptide Microarrays for Reliable Identification of Phosphorylation Sites and Upstream Kinases
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    Chapter 10 Epitope Mapping of Human Chromogranin A by Peptide Microarrays
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    Chapter 11 Antimicrobial Peptide Arrays for Detection of Inactivated Biothreat Agents
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    Chapter 12 Mapping Functional Prion–Prion Protein Interaction Sites Using Prion Protein Based Peptide-Arrays
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    Chapter 13 A Designed Peptide Chip: Protein Fingerprinting Technology with a Dry Peptide Array and Statistical Data Mining
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    Chapter 14 Peptide Microarrays on Bisphenol A Polycarbonate
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    Chapter 15 Self-Assembly of PNA-Encoded Peptides into Microarrays
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    Chapter 16 A Novel Combinatorial Approach to High-Density Peptide Arrays
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    Chapter 17 Polypyrrole–Peptide Microarray for Biomolecular Interaction Analysis by SPR Imaging
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    Chapter 18 The Peptide Microarray-Based Assay for Kinase Functionality and Inhibition Study
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    Chapter 19 An Advanced Application of Protein Microarrays: Cell-Based Assays for Functional Genomics
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    Chapter 20 Profiling the Autoantibody Repertoire by Screening Phage-Displayed Human cDNA Libraries
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    Chapter 21 Visualisation and Pre-processing of Peptide Microarray Data
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    Chapter 22 Web-Based Design of Peptide Microarrays Using μPepArray Pro
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    Chapter 23 Qualitative and Quantitative Analysis of Peptide Microarray Binding Experiments Using SVM-PEPARRAY
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    Chapter 24 PASE: A Web-Based Platform for Peptide/Protein Microarray Experiments
Attention for Chapter 1: Exploring and profiling protein function with peptide arrays.
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Chapter title
Exploring and profiling protein function with peptide arrays.
Chapter number 1
Book title
Peptide Microarrays
Published in
Methods in molecular biology, December 2008
DOI 10.1007/978-1-60327-394-7_1
Pubmed ID
Book ISBNs
978-1-60327-393-0, 978-1-60327-394-7
Authors

Victor E. Tapia, Bernhard Ay, Rudolf Volkmer

Abstract

Development of array technologies started in the late 1980s and was first extensively applied to DNA arrays especially in the genomic field. Today this technique has become a powerful tool for high-throughput approaches in biology and chemistry. Progresses were mainly driven by the human genome project and were associated with the development of several new technologies, which led to the onset of additional "omic" topics like proteomics, glycomics, antibodyomics or lipidomics. The main characteristics of the array technology are (i) spatially addressable immobilization of a huge number of different capture molecules; (ii) probing the array in a simultaneous and highly parallel manner with a biological sample; (iii) tendency towards miniaturization of the arrays; and (iv) software-supported read-out and data analysis. We review some general concepts about peptide arrays on planar supports and point out technical aspects concerning the generation of peptide microarrays. Finally, we discuss recent applications by describing relevant literature.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 8%
United States 1 4%
Malaysia 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 5 19%
Student > Master 3 12%
Other 2 8%
Professor > Associate Professor 2 8%
Other 6 23%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 35%
Medicine and Dentistry 3 12%
Chemistry 3 12%
Engineering 2 8%
Computer Science 2 8%
Other 3 12%
Unknown 4 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 December 2012.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from Methods in molecular biology
#2,318
of 13,096 outputs
Outputs of similar age
#48,676
of 168,669 outputs
Outputs of similar age from Methods in molecular biology
#60
of 161 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,096 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
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