Robust control of the adaptive immune system

被引:20
|
作者
Wong, Harikesh S. [1 ]
Germain, Ronald N. [1 ]
机构
[1] NIAID, Lymphocyte Biol Sect, Lab Syst Biol, NIH, Bethesda, MD 20892 USA
关键词
Systems biology; Immunology; alpha beta cells; Cell-to-cell variability; Receptor biophysics; Robustness; CD8(+) T-CELLS; RECEPTOR SIGNAL-TRANSDUCTION; STOCHASTIC GENE-EXPRESSION; DENDRITIC CELL; NAIVE CD4(+); LYMPH-NODES; IN-VIVO; LIGAND DISCRIMINATION; COVALENT MODIFICATION; RESPONSE MAGNITUDE;
D O I
10.1016/j.smim.2017.12.009
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The adaptive immune system continually faces unpredictable circumstances yet reproducibly counteracts invading pathogens while limiting damage to self. However, the system is dynamic in nature: many of its internal components are not fixed, but rather, fluctuate over time. This concept is exemplified by alpha beta T lymphocytes, which vary significantly from cell-to-cell in their spatiotemporal dynamics, antigen-binding receptors, and subcellular protein concentrations. How are reproducible immune functions achieved in the face of such variability? This design principle is known as robustness and requires the system to employ layered control schemes that both buffer and exploit different facets of cellular variation. In this article, we discuss these schemes and their applications to individual alpha beta T cell responses as well as integrated population level behaviours.
引用
收藏
页码:17 / 27
页数:11
相关论文
共 50 条
  • [1] Robust control of an adaptive optical system
    Frazier, BW
    Roche, J
    Tyson, RK
    Kakad, YP
    Sherlock, BG
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2004, 218 (03) : 353 - 358
  • [2] Robust Adaptive Control System Research
    Mao, Gangyuan
    Yang, Yingxian
    [J]. PROCEEDINGS OF THE 2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND AUTOMATION ENGINEERING, 2016, 42 : 429 - 433
  • [3] Robust control of an adaptive optics system
    Frazier, BW
    Tyson, RK
    [J]. PROCEEDINGS OF THE THIRTY-FOURTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2002, : 293 - 296
  • [4] Robust Adaptive Control for Manipulator System
    Sun Xiaobo
    [J]. 2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 855 - 859
  • [5] An Adaptive Robust Control Strategy in a Cancer Tumor-Immune System Under Uncertainties
    Sharifi, Maryam
    Jamshidi, Arta A.
    Sarvestani, Nazanin Namazi
    [J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2019, 16 (03) : 865 - 873
  • [6] Robust Adaptive Control for Gun Control System of Tank
    Cai, Jianping
    Ma, Juner
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-3, 2011, 295-297 : 270 - 273
  • [7] ADAPTIVE ROBUST CONTROL OF A PUMP CONTROL HYDRAULIC SYSTEM
    Helian, Bobo
    Chen, Zheng
    Yao, Bin
    Yan, Yi
    Lee, Chiang
    [J]. PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 1, 2017,
  • [8] The Control of Adaptive Immune Responses by the Innate Immune System
    Schenten, Dominik
    Medzhitov, Ruslan
    [J]. ADVANCES IN IMMUNOLOGY, VOL 109, 2011, 109 : 87 - 124
  • [9] Robust Adaptive PID Control for Electromechanical System
    Yang, Fang
    Yuan, Zhaohui
    Zhang, Wei
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 391 - 395
  • [10] Adaptive performance improvement in a robust control system
    Maki, M
    Hagino, K
    [J]. PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 1547 - 1548