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DOI10.1073/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
ISSN00278424
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
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
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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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