Chapter title |
Monitoring and Modulation of Inducible Foxp3+ Regulatory T-Cell Differentiation in the Lymph Nodes Draining the Small Intestine and Colon
|
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Chapter number | 16 |
Book title |
Inflammation
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Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6786-5_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6784-1, 978-1-4939-6786-5
|
Authors |
S. Veenbergen, L. A. van Berkel, M. F. du Pré, A. E. Kozijn, Janneke N. Samsom Ph.D., Janneke N. Samsom |
Editors |
Björn E. Clausen, Jon D. Laman |
Abstract |
The mucosa-draining lymphoid tissue favors differentiation of inducible Foxp3(+) regulatory T cells. Adoptive transfer of T-cell receptor (TCR) transgenic (Tg) T cells is a powerful tool to study antigen-specific regulatory T-cell differentiation in lymphoid tissues in vivo. The kinetics and nature of the T-cell response largely depend on the route of antigen administration and degree of clonal competition. Here, we describe that adoptive transfer of CD4(+) DO11.10 TCR Tg T cells can be used for monitoring Foxp3(+) regulatory T-cell differentiation in the gut-draining lymph nodes. We describe two routes of mucosal antigen administration, e.g., the oral and intracolonic route known to induce T-cell responses in the small intestine-draining mesenteric lymph nodes (MLN) and distal colon-draining caudal and iliac lymph nodes (ILN), respectively. In particular, we discuss differences in frequency of inducible Foxp3(+) regulatory T cells after adoptive transfer of variable numbers of Tg T cells and various amounts of orally gavaged ovalbumin (OVA), and explain how Foxp3(+) regulatory T-cell differentiation can be modulated by coadministration of the adjuvant cholera toxin (CT) with OVA using this adoptive transfer system. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 2 | 20% |
Researcher | 2 | 20% |
Unknown | 6 | 60% |
Readers by discipline | Count | As % |
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Immunology and Microbiology | 2 | 20% |
Economics, Econometrics and Finance | 1 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
Unknown | 6 | 60% |