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An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA
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 st...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882290/ https://www.ncbi.nlm.nih.gov/pubmed/31824932 http://dx.doi.org/10.3389/fbioe.2019.00330 |
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author | Ma, Xibo Chen, Lei Yang, Yingcheng Zhang, Weiqi Wang, Peixia Zhang, Kun Zheng, Bo Zhu, Lin Sun, Zheng Zhang, Shuai Guo, Yingkun Liang, Minmin Wang, Hongyang Tian, Jie |
author_facet | Ma, Xibo Chen, Lei Yang, Yingcheng Zhang, Weiqi Wang, Peixia Zhang, Kun Zheng, Bo Zhu, Lin Sun, Zheng Zhang, Shuai Guo, Yingkun Liang, Minmin Wang, Hongyang Tian, Jie |
author_sort | Ma, Xibo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6882290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68822902019-12-10 An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA Ma, Xibo Chen, Lei Yang, Yingcheng Zhang, Weiqi Wang, Peixia Zhang, Kun Zheng, Bo Zhu, Lin Sun, Zheng Zhang, Shuai Guo, Yingkun Liang, Minmin Wang, Hongyang Tian, Jie Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2019-11-21 /pmc/articles/PMC6882290/ /pubmed/31824932 http://dx.doi.org/10.3389/fbioe.2019.00330 Text en Copyright © 2019 Ma, Chen, Yang, Zhang, Wang, Zhang, Zheng, Zhu, Sun, Zhang, Guo, Liang, Wang and Tian. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Ma, Xibo Chen, Lei Yang, Yingcheng Zhang, Weiqi Wang, Peixia Zhang, Kun Zheng, Bo Zhu, Lin Sun, Zheng Zhang, Shuai Guo, Yingkun Liang, Minmin Wang, Hongyang Tian, Jie An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title | An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title_full | An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title_fullStr | An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title_full_unstemmed | An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title_short | An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA |
title_sort | artificial intelligent signal amplification system for in vivo detection of mirna |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882290/ https://www.ncbi.nlm.nih.gov/pubmed/31824932 http://dx.doi.org/10.3389/fbioe.2019.00330 |
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