| Chapter title |
Purification of Antibodies Using Affinity Chromatography.
|
|---|---|
| Chapter number | 15 |
| Book title |
Protein Chromatography
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6412-3_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6410-9, 978-1-4939-6412-3
|
| Authors |
Elaine Darcy, Paul Leonard, Jenny Fitzgerald, Martin Danaher, Hui Ma, Richard O’Kennedy |
| Editors |
Dermot Walls, Sinéad T. Loughran |
| Abstract |
Affinity chromatography permits the isolation of a target analyte from a complex mixture and can be utilized to purify proteins, carbohydrates, drugs, haptens, or any analyte of interest once an affinity pair is available. It involves the exploitation of specific interactions between a binding affinity pair, such as those between an antibody and its associated antigen, or between any ligand and its associated binding receptor/protein. With the discovery of protein A in 1970, and, subsequently protein G and L, immuno-affinity chromatography has grown in popularity and is now the standard methodology for the purification of antibodies which may be implemented for a selection of different applications such as immunodiagnostics. This chapter is designed to inform the researcher about the basic techniques involved in the affinity chromatography-based purification of monoclonal, polyclonal, and recombinant antibodies. Examples are provided for the use of protein A and G. In addition, tables are provided that allow the reader to select the most appropriate protein for use in the isolation of their antibody. |
Mendeley readers
Geographical breakdown
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|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
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| Researcher | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Ph. D. Student | 7 | 10% |
| Other | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 22 | 31% |
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|---|---|---|
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| Agricultural and Biological Sciences | 15 | 21% |
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| Computer Science | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 23 | 32% |