Chapter title |
Immunotherapy with iTreg and nTreg Cells in a Murine Model of Inflammatory Bowel Disease.
|
---|---|
Chapter number | 19 |
Book title |
Gastrointestinal Physiology and Diseases
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3603-8_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3601-4, 978-1-4939-3603-8
|
Authors |
Dipica Haribhai, Talal A. Chatila, Calvin B. Williams |
Editors |
Andrei I. Ivanov |
Abstract |
Regulatory T (Treg) cells that express the transcription factor Foxp3 are essential for maintaining tolerance at mucosal interfaces, where they act by controlling inflammation and promoting epithelial cell homeostasis. There are two major regulatory T-cell subsets, "natural" CD4(+) Treg (nTreg) cells that develop in the thymus and "induced" Treg (iTreg) cells that develop from conventional CD4(+) T (Tconv) cells in the periphery. Dysregulated Treg cell responses are associated with autoimmune diseases, including inflammatory bowel disease (IBD) and arthritis. Adoptive transfer of Treg cells can modulate innate and adaptive immune responses and cure disease in animal models, which has generated considerable interest in using Treg cells to treat human autoimmune disease, prevent rejection of transplanted organs, and to control graft-versus-host disease following hematopoietic stem cell transplantation. Herein, we describe our modifications of a treatment model of T-cell transfer colitis designed to allow mechanistic investigation of the two major Treg cell subsets and to compare their specific roles in mucosal tolerance. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 8 | 33% |
Student > Bachelor | 2 | 8% |
Professor | 2 | 8% |
Student > Master | 2 | 8% |
Other | 1 | 4% |
Other | 2 | 8% |
Unknown | 7 | 29% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Economics, Econometrics and Finance | 1 | 4% |
Computer Science | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 42% |