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Decoding the Complex Free Radical Cascade by Using a DNA Framework‐Based Artificial DNA Encoder
Author(s) -
Zhang Lili,
Wang Linlin,
Yuan Xi,
Zhong Minjuan,
Chen Hong,
Zhang Dailiang,
Han Xiaoyan,
Xie Sitao,
He Lei,
Li Yazhou,
Chen Fengming,
Liu Yanlan,
Tan Weihong
Publication year - 2021
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.202014088
Subject(s) - decoding methods , encoder , cascade , computer science , dna , encoding (memory) , biological system , chemistry , algorithm , artificial intelligence , biology , biochemistry , chromatography , operating system
DNA‐based molecular communications (DMC) are critical for regulating biological networks to maintain stable organismic functions. However, the complicated, time‐consuming information transmission process involved in genome‐coded DMC and the limited, vulnerable decoding activity generally lead to communication impairment or failure, in response to external stimuli. Herein, we present a conceptually innovative DMC strategy mediated by the DNA framework‐based artificial DNA encoder. With the free‐radical cascade as a proof‐of‐concept study, the artificial DNA encoder shows active sensing and real‐time actuation, in situ and broad free radical‐decoding efficacy, as well as robust resistance to environmental noise. It can also block undesirable short‐to‐medium‐range communications between free radicals and inflammatory networks, leading to a synergistic anti‐obesity effect. The artificial DNA encoder‐based DMC may be generalized to other communication systems for a variety of applications.