Biocatalytic Amplification of UV Signal in Capillary Electrophoresis of MicroRNA
MicroRNAs (miRNAs) are new potential biomarkers for early diagnosis and classification of cancer. This study is the first attempt to use biocatalytic amplification reactions combined with capillary electrophoresis to detect multiple miRNAs simultaneously. In this way, miRNAs, as catalysts, can catal...
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description | MicroRNAs (miRNAs) are new potential biomarkers for early diagnosis and classification of cancer. This study is the first attempt to use biocatalytic amplification reactions combined with capillary electrophoresis to detect multiple miRNAs simultaneously. In this way, miRNAs, as catalysts, can catalyze two single strands of DNA to form double-strand DNA. Feasibility was demonstrated by non-gel capillary electrophoresis coupled with UV detection (NGCE-UV). The detection limit was improved down to 1.0 nM, having ca. 10(3)-fold improvement. This method has a good linear range of between 3.0 nM and 300 nM, with R-2 at 0.99, recovery at 88-115%, and peak area precision at 1-12.7%. Using three target miRNAs as a model can achieve the baseline separation and good selectivity. The proposed biocatalysis coupled with a capillary electrophoresis-based method is simple, rapid, multiplexed, and cost-effective, making it potentially applicable for simultaneous, large-scale screening for other nucleic acids biomarkers and related research. |
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This study is the first attempt to use biocatalytic amplification reactions combined with capillary electrophoresis to detect multiple miRNAs simultaneously. In this way, miRNAs, as catalysts, can catalyze two single strands of DNA to form double-strand DNA. Feasibility was demonstrated by non-gel capillary electrophoresis coupled with UV detection (NGCE-UV). The detection limit was improved down to 1.0 nM, having ca. 10(3)-fold improvement. This method has a good linear range of between 3.0 nM and 300 nM, with R-2 at 0.99, recovery at 88-115%, and peak area precision at 1-12.7%. Using three target miRNAs as a model can achieve the baseline separation and good selectivity. 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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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This study is the first attempt to use biocatalytic amplification reactions combined with capillary electrophoresis to detect multiple miRNAs simultaneously. In this way, miRNAs, as catalysts, can catalyze two single strands of DNA to form double-strand DNA. Feasibility was demonstrated by non-gel capillary electrophoresis coupled with UV detection (NGCE-UV). The detection limit was improved down to 1.0 nM, having ca. 10(3)-fold improvement. This method has a good linear range of between 3.0 nM and 300 nM, with R-2 at 0.99, recovery at 88-115%, and peak area precision at 1-12.7%. Using three target miRNAs as a model can achieve the baseline separation and good selectivity. 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Chen, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-47ca5209beb08f22a228b937c633e56d8e99fb0fd95feb1523373e5064a70abf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biocatalysis</topic><topic>Biochemistry & Molecular Biology</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Capillary electrophoresis</topic><topic>Catalysis</topic><topic>Catalysts</topic><topic>Chemistry</topic><topic>Chemistry, Multidisciplinary</topic><topic>Deoxyribonucleic acid</topic><topic>Design</topic><topic>DNA</topic><topic>Early Detection of Cancer</topic><topic>Electrophoresis</topic><topic>Electrophoresis, Capillary - methods</topic><topic>Feasibility Studies</topic><topic>Humans</topic><topic>Hybridization</topic><topic>Life Sciences & Biomedicine</topic><topic>Limit of Detection</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Neoplasms - diagnosis</topic><topic>Neoplasms - genetics</topic><topic>Nucleic Acid Amplification Techniques - methods</topic><topic>Nucleic acids</topic><topic>Physical Sciences</topic><topic>Quantitative analysis</topic><topic>Science & Technology</topic><topic>Selectivity</topic><topic>Tumors</topic><topic>Ultraviolet Rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Ruibin</creatorcontrib><creatorcontrib>Chen, Yi</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Ruibin</au><au>Chen, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biocatalytic Amplification of UV Signal in Capillary Electrophoresis of MicroRNA</atitle><jtitle>International journal of molecular sciences</jtitle><stitle>INT J MOL SCI</stitle><addtitle>Int J Mol Sci</addtitle><date>2019-12-19</date><risdate>2019</risdate><volume>21</volume><issue>1</issue><spage>51</spage><pages>51-</pages><artnum>51</artnum><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>MicroRNAs (miRNAs) are new potential biomarkers for early diagnosis and classification of cancer. 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subjects | Biocatalysis Biochemistry & Molecular Biology Biomarkers Biomarkers, Tumor - genetics Capillary electrophoresis Catalysis Catalysts Chemistry Chemistry, Multidisciplinary Deoxyribonucleic acid Design DNA Early Detection of Cancer Electrophoresis Electrophoresis, Capillary - methods Feasibility Studies Humans Hybridization Life Sciences & Biomedicine Limit of Detection MicroRNAs MicroRNAs - genetics miRNA Neoplasms - diagnosis Neoplasms - genetics Nucleic Acid Amplification Techniques - methods Nucleic acids Physical Sciences Quantitative analysis Science & Technology Selectivity Tumors Ultraviolet Rays |
title | Biocatalytic Amplification of UV Signal in Capillary Electrophoresis of MicroRNA |
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