| Chapter title |
Identification of Novel Mycobacterial Targets for Murine CD4 + T-Cells by IFNγ ELISPOT
|
|---|---|
| Chapter number | 12 |
| Book title |
Handbook of ELISPOT
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8567-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8566-1, 978-1-4939-8567-8
|
| Authors |
Alison J. Johnson, Steven C. Kennedy, Tony W. Ng, Steven A. Porcelli, Johnson, Alison J., Kennedy, Steven C., Ng, Tony W., Porcelli, Steven A. |
| Abstract |
Enzyme-linked immunospot (ELISPOT) is an assay used to detect secretion of cytokines from immune cells. The resolution and sensitivity of ELISPOT allow for the detection of rare T cell specificities and small quantities of molecules produced by individual cells. In this chapter, we describe an epitope screening method that uses CD4+ T cell ELISPOT assays to identify specific novel mycobacterial antigens as potential vaccine candidates. In order to screen a large number of candidate epitopes simultaneously, pools of predicted MHC class II peptides were used to identify mycobacterial specific CD4+ T cells. Using this method, we identified novel mycobacterial antigens as vaccine candidates. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Master | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Computer Science | 1 | 25% |
| Unknown | 1 | 25% |