Unknown

Dataset Information

0

Robust and Accurate Discrimination of Self/Non-Self Antigen Presentations by Regulatory T Cell Suppression.


ABSTRACT: The immune response by T cells usually discriminates self and non-self antigens, even though the negative selection of self-reactive T cells is imperfect and a certain fraction of T cells can respond to self-antigens. In this study, we construct a simple mathematical model of T cell populations to analyze how such self/non-self discrimination is possible. The results demonstrate that the control of the immune response by regulatory T cells enables a robust and accurate discrimination of self and non-self antigens, even when there is a significant overlap between the affinity distribution of T cells to self and non-self antigens. Here, the number of regulatory T cells in the system acts as a global variable controlling the T cell population dynamics. The present study provides a basis for the development of a quantitative theory for self and non-self discrimination in the immune system and a possible strategy for its experimental verification.

SUBMITTER: Furusawa C 

PROVIDER: S-EPMC5036821 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Robust and Accurate Discrimination of Self/Non-Self Antigen Presentations by Regulatory T Cell Suppression.

Furusawa Chikara C   Yamaguchi Tomoyuki T  

PloS one 20160926 9


The immune response by T cells usually discriminates self and non-self antigens, even though the negative selection of self-reactive T cells is imperfect and a certain fraction of T cells can respond to self-antigens. In this study, we construct a simple mathematical model of T cell populations to analyze how such self/non-self discrimination is possible. The results demonstrate that the control of the immune response by regulatory T cells enables a robust and accurate discrimination of self and  ...[more]

Similar Datasets

| S-EPMC2836808 | biostudies-literature
| S-EPMC2813891 | biostudies-literature
| S-EPMC3684168 | biostudies-literature
| S-EPMC5454087 | biostudies-literature
| S-EPMC4358010 | biostudies-literature
| S-EPMC7493836 | biostudies-literature
| S-EPMC3263357 | biostudies-literature
| S-EPMC2758873 | biostudies-other
| S-EPMC5282481 | biostudies-literature
| S-EPMC5605461 | biostudies-literature