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DOI | 10.1073/PNAS.2011709118 |
Tregs self-organize into a computing ecosystem and implement a sophisticated optimization algorithm for mediating immune response | |
Marsland R.; III; Howell O.; Mayer A.; Mehta P. | |
发表日期 | 2021 |
ISSN | 00278424 |
卷号 | 118期号:1 |
英文摘要 | Regulatory T cells (Tregs) play a crucial role in mediating immune response. Yet an algorithmic understanding of the role of Tregs in adaptive immunity remains lacking. Here, we present a biophysically realistic model of Treg-mediated self-tolerance in which Tregs bind to self-antigens and locally inhibit the proliferation of nearby activated T cells. By exploiting a duality between ecological dynamics and constrained optimization, we show that Tregs tile the potential antigen space while simultaneously minimizing the overlap between Treg activation profiles. We find that for sufficiently high Treg diversity, Treg-mediated self-tolerance is robust to fluctuations in self-antigen concentrations but lowering the Treg diversity results in a sharp transition—related to the Gardner transition in perceptrons—to a regime where changes in self-antigen concentrations can result in an autoimmune response. We propose an experimental test of this transition in immune-deficient mice and discuss potential implications for autoimmune diseases. © 2021 National Academy of Sciences. All rights reserved. |
英文关键词 | Adaptive immunity; Biophysics; Ecology; Optimization; Tregs |
语种 | 英语 |
scopus关键词 | algorithm; antigen binding; Article; autoimmune disease; bioaccumulation; biodiversity; biophysics; cell interaction; ecosystem; human; human cell; immune response; lymphocyte activation; lymphocyte function; lymphocyte proliferation; mathematical computing; priority journal; process optimization; regulatory T lymphocyte |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/181124 |
作者单位 | Department of Physics, Boston University, Boston, MA 02215, United States; Lewis-Sigler Institute, Princeton University, Princeton, NJ 08540, United States; Faculty of Computing and Data Science, Boston University, Boston, MA 02215, United States |
推荐引用方式 GB/T 7714 | Marsland R.,III,Howell O.,et al. Tregs self-organize into a computing ecosystem and implement a sophisticated optimization algorithm for mediating immune response[J],2021,118(1). |
APA | Marsland R.,III,Howell O.,Mayer A.,&Mehta P..(2021).Tregs self-organize into a computing ecosystem and implement a sophisticated optimization algorithm for mediating immune response.Proceedings of the National Academy of Sciences of the United States of America,118(1). |
MLA | Marsland R.,et al."Tregs self-organize into a computing ecosystem and implement a sophisticated optimization algorithm for mediating immune response".Proceedings of the National Academy of Sciences of the United States of America 118.1(2021). |
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