| Chapter title |
Construction of Human Naïve Antibody Gene Libraries
|
|---|---|
| Chapter number | 4 |
| Book title |
Antibody Engineering
|
| Published in |
Methods in molecular biology, September 2018
|
| DOI | 10.1007/978-1-4939-8648-4_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8647-7, 978-1-4939-8648-4
|
| Authors |
Michela Pasello, Alessandra Mallano, Michela Flego, Silvia Zamboni, Anna Maria Giudice, Katia Scotlandi, Pasello, Michela, Mallano, Alessandra, Flego, Michela, Zamboni, Silvia, Giudice, Anna Maria, Scotlandi, Katia |
| Abstract |
Size and variability often represent an obstacle in generating an effective antibody gene library for the detection of an abundant repertoire of antigens. Therefore, optimizing the construction of a large library is essential for the selection of high-affinity reactive fragments. Here, we report a highly efficient method for the construction of a human naïve antibody gene library for the selection of antibodies as single-chain variable fragments. This protocol is based on many different sets of oligonucleotide primers and multistep electroporation and ligation reactions.This advanced method can be adopted by any molecular biology laboratory to generate a naïve library for use in isolating single-chain fragment variables against specific targets. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Other | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 35% |
| Biochemistry, Genetics and Molecular Biology | 6 | 30% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 2 | 10% |