| Chapter title |
Exploring the Role of Microbiota in the Limiting of B1 and MZ B-Cell Numbers by Naturally Secreted Immunoglobulins
|
|---|---|
| Chapter number | 7 |
| Book title |
Natural Antibodies
|
| Published in |
Methods in molecular biology, July 2017
|
| DOI | 10.1007/978-1-4939-7180-0_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7179-4, 978-1-4939-7180-0
|
| Authors |
Elodie Mohr, Andreia C. Lino, Mohr, Elodie, Lino, Andreia C. |
| Editors |
Srinivas V. Kaveri, Jagadeesh Bayry |
| Abstract |
Immunoglobulins (Igs)-or antibodies (Ab)-are important to combat foreign pathogens but also to the immune system homeostasis. We developed the AID(-/-)μS(-/-) mouse model devoid of total soluble Igs and suitable to monitor the role of Igs on immune homeostasis. We used this experimental system to uncover a negative feedback control of marginal zone (MZ) and B1 B cells numbers by naturally secreted Igs. We raised AID(-/-)μS(-/-) mice in germ-free conditions demonstrating that this effect of natural secreted Igs is independent of the microbiota. Herein, we provide a comprehensive description of the protocols to establish and use the AID(-/-)μS(-/-) mice to study the role of total secreted Igs or of different Ig classes. This study involves Igs injections to AID(-/-)μS(-/-) mice or establishment of AID(-/-)μS(-/-) mixed bone marrow chimeras that provide a powerful system to study AID(-/-)μS(-/-) B cells in the presence of stable concentrations of different Ig classes. While we describe flow cytometric and histological methods to analyze MZ and B1 B cell subsets, AID(-/-)μS(-/-) mice can be used to study the effects of natural Igs on other B cell subsets or immune cells. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Other | 2 | 18% |
| Researcher | 2 | 18% |
| Professor | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 36% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Veterinary Science and Veterinary Medicine | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |