Chapter title |
Peptides and Anti-peptide Antibodies for Small and Medium Scale Peptide and Anti-peptide Affinity Microarrays: Antigenic Peptide Selection, Immobilization, and Processing.
|
---|---|
Chapter number | 5 |
Book title |
Peptide Microarrays
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3037-1_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3036-4, 978-1-4939-3037-1
|
Authors |
Fan Zhang, Andrea Briones, Mikhail Soloviev |
Editors |
Marina Cretich, Marcella Chiari |
Abstract |
This chapter describes the principles of selection of antigenic peptides for the development of anti-peptide antibodies for use in microarray-based multiplex affinity assays and also with mass-spectrometry detection. The methods described here are mostly applicable to small to medium scale arrays. Although the same principles of peptide selection would be suitable for larger scale arrays (with 100+ features) the actual informatics software and printing methods may well be different. Because of the sheer number of proteins/peptides to be processed and analyzed dedicated software capable of processing all the proteins and an enterprise level array robotics may be necessary for larger scale efforts. This report aims to provide practical advice to those who develop or use arrays with up to ~100 different peptide or protein features. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 29% |
Student > Bachelor | 1 | 14% |
Researcher | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 43% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
Economics, Econometrics and Finance | 1 | 14% |
Unknown | 2 | 29% |