中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA

文献类型:期刊论文

作者Ma, Xibo2,4; Chen, Lei3; Yang, Yingcheng3; Zhang, Weiqi1,4; Wang, Peixia1,4; Zhang, Kun2,7; Zheng, Bo3; Zhu, Lin2,4; Sun, Zheng2,4; Zhang, Shuai2,4
刊名FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
出版日期2019-11-21
卷号7页码:15
关键词in vivo detection of non-coding RNA an artificial intelligent signal amplification system early diagnosis of precancerous lesions fluorescent molecular tomography stem cell tracing
ISSN号2296-4185
DOI10.3389/fbioe.2019.00330
通讯作者Ma, Xibo(xibo.ma@ia.ac.cn) ; Wang, Hongyang(hywang@vip.sina.com) ; Tian, Jie(jie.tian@ia.ac.cn)
英文摘要MicroRNAs (miRNA) have been identified as oncogenic drivers and tumor suppressors in every major cancer type. In this work, we design an artificial intelligent signal amplification (AISA) system including double-stranded SQ (S, signal strand; Q, quencher strand) and FP (F, fuel strand; P, protect strand) according to thermodynamics principle for sensitive detection of miRNA in vitro and in vivo. In this AISA system for miRNA detection, strand S carries a quenched imaging marker inside the SQ. Target miRNA is constantly replaced by a reaction intermediate and circulatively participates in the reaction, similar to enzyme. Therefore, abundant fluorescent substances from S and SP are dissociated from excessive SQ for in vitro and in vivo visualization. The versatility and feasibility for disease diagnosis using this system were demonstrated by constructing two types of AISA system to detect Hsa-miR-484 and Hsa-miR-100, respectively. The minimum target concentration detected by the system in vitro (10 min after mixing) was 1/10th that of the control group. The precancerous lesions of liver cancer were diagnosed, and the detection accuracy were larger than 94% both in terms of location and concentration. The ability to establish this design framework for AISA system with high specificity provides a new way to monitor tumor progression and to assess therapeutic responses.
WOS关键词FLUORESCENCE MOLECULAR TOMOGRAPHY ; SEQUENCE DESIGN ; CARDIAC-FUNCTION ; RECONSTRUCTION ; TOEHOLD ; LOGIC ; PHARMACOKINETICS ; QUANTIFICATION ; ALGORITHM ; SWITCHES
资助项目National Key Research programs of China[2016YFA0100900] ; National Key Research programs of China[2016YFA0100902] ; National Key Research programs of China[2017YFA0205200] ; National Natural Science Foundation of China[81871442] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[815270805] ; National Natural Science Foundation of China[61231004] ; Chinese Academy of Sciences[GJJSTD20170004] ; Beijing Municipal Science and Technology Commission[Z161100002616022]
WOS研究方向Biotechnology & Applied Microbiology ; Science & Technology - Other Topics
语种英语
WOS记录号WOS:000501162100001
出版者FRONTIERS MEDIA SA
资助机构National Key Research programs of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Beijing Municipal Science and Technology Commission
源URL[http://ir.ia.ac.cn/handle/173211/29345]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Ma, Xibo; Wang, Hongyang; Tian, Jie
作者单位1.Chinese Acad Sci, Ctr Excellence Biomacromol, Natl Lab Biomacromol, Inst Biophys, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China
3.Second Mil Med Univ, Eastern Hepatobiliary Surg Inst, Int Cooperat Lab Signal Transduct, Shanghai, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
5.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
6.Beijing Inst Technol, Sch Mat Sci & Engn, Expt Ctr Adv Mat, Beijing, Peoples R China
7.Sichuan Univ, West China Univ Hosp 2, Dept Radiol, Chengdu, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Ma, Xibo,Chen, Lei,Yang, Yingcheng,et al. An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA[J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,2019,7:15.
APA Ma, Xibo.,Chen, Lei.,Yang, Yingcheng.,Zhang, Weiqi.,Wang, Peixia.,...&Tian, Jie.(2019).An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA.FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,7,15.
MLA Ma, Xibo,et al."An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA".FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 7(2019):15.

入库方式: OAI收割

来源:自动化研究所

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