文献类型：期刊文献

英文题名：Multimachine Communication Network That Mimics the Adaptive Immune Response

作者：Ma, Pei-Qiang[1];Huang, Qing[1];Li, Hua-Dong[1];Yin, Bin-Cheng[1,2,3];Ye, Bang-Ce[1,2,3]

机构：[1]East China Univ Sci & Technol, Lab Biosyst & Microanal, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]Zhejiang Univ Technol, Coll Pharmaceut Sci, Collaborat Innovat Ctr Yangtze River Delta Reg Gr, Inst Engn Biol & Hlth, Hangzhou 310014, Zhejiang, Peoples R China;[3]Shihezi Univ, Sch Chem & Chem Engn, Shihezi 832000, Xinjiang, Peoples R China

年份：2020

卷号：142

期号：8

起止页码：3851

外文期刊名：JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

收录：;EI(收录号：20200908249281);WOS:【SCI-EXPANDED(收录号:WOS:000517360400023)】；

基金：This work was jointly supported by the National Natural Science Foundation of China (grants 21822402, 31730004, and 21675052), the Fundamental Research Funds for the Central Universities, the Research Program of State Key Laboratory of Bioreactor Engineering, the Science Fund for Creative Research Groups (grant 21421004), and the Programme of Introducing Talents of Discipline to University (grant B16017).

语种：英文

外文关键词：Immune system - Gold nanoparticles - Machine components

摘要：y Biological organisms capable of controlling and performing a wide variety of functions have inspired attempts to mimic biological systems with designable intelligence. Here we develop a multimachine communication network (MMCN) to mimic the operation and function of adaptive immune response (AIR) via connecting three kinds of DNA machines built from module-functionalized gold nanoparticles. These machines simulate three critical immune cells, dendritic cells, T and B lymphocytes, and their differentiation and coordinated interaction upon exposure and response to an invading pathogen. MMCN is composed of standard modules with track, movement, and fuel components that allow for the (1) integration and adaptability of a single machine, (2) convenient spatiotemporal control of the sequential activation of a single machine, and (3) rapid reaction rate and high efficiency owing to an enhanced local concentration of interacting species. We show that the proposed network can sense and clear the corresponding pathogen via consecutive activation and connection of the machines, simultaneously forming a memory to respond more rapidly and effectively upon the second invasion of the pathogen. This system may be extended to construct powerful networks to execute more sophisticated tasks and accomplish diverse functions.