Chapter title |
Regulatory T Cells: Molecular and Cellular Basis for Immunoregulation
|
---|---|
Chapter number | 58 |
Book title |
Emerging Concepts Targeting Immune Checkpoints in Cancer and Autoimmunity
|
Published in |
Current topics in microbiology and immunology, January 2017
|
DOI | 10.1007/82_2017_58 |
Pubmed ID | |
Book ISBNs |
978-3-31-968928-9, 978-3-31-968929-6
|
Authors |
Yosuke Togashi, Hiroyoshi Nishikawa |
Abstract |
CD4(+) regulatory T cells (Tregs) are a highly immune-suppressive subset of CD4(+) T cells, characterized by expression of the master regulatory transcription factor FOXP3. Tregs are proven to play central roles in the maintenance of self-tolerance in healthy individuals. Tregs are involved in maintaining immune homeostasis: they protect hosts from developing autoimmune diseases and allergy, whereas in malignancies, they promote tumor progression by suppressing anti-tumor immunity. Elucidating factors influencing Treg homeostasis and function have important implications for understanding disease pathogenesis and identifying therapeutic opportunities. Thus, the manipulating Tregs for up- or down-regulation of their suppressive function is a new therapeutic strategy for treating various diseases including autoimmune disorders and cancer. This review will focus on recent advances in how Tregs integrate extracellular and intracellular signals to control their survival and stability. Deeper mechanistic understanding of disease-specific Treg development, maintenance, and function could make disease-specific Treg-targeted therapy more effective, resulting in an increase of efficacy and decrease of side effects related to manipulating Tregs. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Researcher | 6 | 14% |
Student > Bachelor | 6 | 14% |
Student > Master | 6 | 14% |
Student > Doctoral Student | 4 | 9% |
Other | 1 | 2% |
Unknown | 13 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 12 | 27% |
Biochemistry, Genetics and Molecular Biology | 8 | 18% |
Medicine and Dentistry | 7 | 16% |
Unspecified | 1 | 2% |
Chemical Engineering | 1 | 2% |
Other | 2 | 5% |
Unknown | 13 | 30% |