An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection
Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays. Here, we introduced an electrochemical biosensor equipped with computing functions, acting as a smart automaton to enable computing-based detection. By defining the logic...
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creator | Xie, Benting Du, Shimao Gao, Hejun Zhang, Juan Fu, Hongquan Liao, Yunwen |
description | Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays. Here, we introduced an electrochemical biosensor equipped with computing functions, acting as a smart automaton to enable computing-based detection. By defining the logic combinations of miR-21 and miR-122 as detection patterns, we proposed the corresponding AND and OR detection automata. In both logic gate modes, miR-21 and miR-122 could be replaced with single-stranded F
O
or F
A
, modified with Fc, binding to the S chain on the electrode surface. This process led to a significant decrease in the square wave voltammetry (SWV) of Fc on the same sensing platform, as numerous ferrocene (Fc)-tagged DNA fragments escaped from the electrode surface. Experimental results indicated that both automata efficiently and sensitively detected the presence of the two targets. This strategy highlighted how a small amount of target could generate a large current signal decrease in the logic automata, significantly reducing the detection limit for monitoring low-abundance targets. Moreover, the short-stranded DNA components of the detection automata exhibited a simple composition and easy programmability of probe sequences, offering an innovative detection mode. This simplified the complex process of detection, data collection, computation, and evaluation. The direct detection result ("0" or "1") was exported according to the embedded computation code. This approach could be expanded into a detection system for identifying other sets of biomarkers, enhancing its potential for clinical applications.
Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays. |
doi_str_mv | 10.1039/d4an00719k |
format | Article |
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O
or F
A
, modified with Fc, binding to the S chain on the electrode surface. This process led to a significant decrease in the square wave voltammetry (SWV) of Fc on the same sensing platform, as numerous ferrocene (Fc)-tagged DNA fragments escaped from the electrode surface. Experimental results indicated that both automata efficiently and sensitively detected the presence of the two targets. This strategy highlighted how a small amount of target could generate a large current signal decrease in the logic automata, significantly reducing the detection limit for monitoring low-abundance targets. Moreover, the short-stranded DNA components of the detection automata exhibited a simple composition and easy programmability of probe sequences, offering an innovative detection mode. This simplified the complex process of detection, data collection, computation, and evaluation. The direct detection result ("0" or "1") was exported according to the embedded computation code. This approach could be expanded into a detection system for identifying other sets of biomarkers, enhancing its potential for clinical applications.
Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays.</description><identifier>ISSN: 0003-2654</identifier><identifier>ISSN: 1364-5528</identifier><identifier>EISSN: 1364-5528</identifier><identifier>DOI: 10.1039/d4an00719k</identifier><identifier>PMID: 39235287</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Automata theory ; Biological effects ; Biomarkers ; Biosensing Techniques - methods ; Biosensors ; Cellular automata ; Computation ; Electrochemical Techniques - instrumentation ; Electrochemical Techniques - methods ; Electrodes ; Ferrous Compounds - chemistry ; Gene sequencing ; Humans ; Limit of Detection ; Logic ; Logic circuits ; Metallocenes - chemistry ; MicroRNAs - analysis ; MicroRNAs - genetics ; Nucleic Acid Hybridization ; Square waves ; Target detection</subject><ispartof>Analyst (London), 2024-10, Vol.149 (2), p.511-5117</ispartof><rights>Copyright Royal Society of Chemistry 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c226t-988a07438f33671b50a7caf4cc6da4ea11615c8140b54e1945ef2d9e726b65af3</cites><orcidid>0000-0002-4419-0702 ; 0000-0001-5474-7052 ; 0009-0008-4655-9615 ; 0009-0008-4128-4392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,2818,2819,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39235287$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xie, Benting</creatorcontrib><creatorcontrib>Du, Shimao</creatorcontrib><creatorcontrib>Gao, Hejun</creatorcontrib><creatorcontrib>Zhang, Juan</creatorcontrib><creatorcontrib>Fu, Hongquan</creatorcontrib><creatorcontrib>Liao, Yunwen</creatorcontrib><title>An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection</title><title>Analyst (London)</title><addtitle>Analyst</addtitle><description>Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays. Here, we introduced an electrochemical biosensor equipped with computing functions, acting as a smart automaton to enable computing-based detection. By defining the logic combinations of miR-21 and miR-122 as detection patterns, we proposed the corresponding AND and OR detection automata. In both logic gate modes, miR-21 and miR-122 could be replaced with single-stranded F
O
or F
A
, modified with Fc, binding to the S chain on the electrode surface. This process led to a significant decrease in the square wave voltammetry (SWV) of Fc on the same sensing platform, as numerous ferrocene (Fc)-tagged DNA fragments escaped from the electrode surface. Experimental results indicated that both automata efficiently and sensitively detected the presence of the two targets. This strategy highlighted how a small amount of target could generate a large current signal decrease in the logic automata, significantly reducing the detection limit for monitoring low-abundance targets. Moreover, the short-stranded DNA components of the detection automata exhibited a simple composition and easy programmability of probe sequences, offering an innovative detection mode. This simplified the complex process of detection, data collection, computation, and evaluation. The direct detection result ("0" or "1") was exported according to the embedded computation code. This approach could be expanded into a detection system for identifying other sets of biomarkers, enhancing its potential for clinical applications.
Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays.</description><subject>Automata theory</subject><subject>Biological effects</subject><subject>Biomarkers</subject><subject>Biosensing Techniques - methods</subject><subject>Biosensors</subject><subject>Cellular automata</subject><subject>Computation</subject><subject>Electrochemical Techniques - instrumentation</subject><subject>Electrochemical Techniques - methods</subject><subject>Electrodes</subject><subject>Ferrous Compounds - chemistry</subject><subject>Gene sequencing</subject><subject>Humans</subject><subject>Limit of Detection</subject><subject>Logic</subject><subject>Logic circuits</subject><subject>Metallocenes - chemistry</subject><subject>MicroRNAs - analysis</subject><subject>MicroRNAs - genetics</subject><subject>Nucleic Acid Hybridization</subject><subject>Square waves</subject><subject>Target detection</subject><issn>0003-2654</issn><issn>1364-5528</issn><issn>1364-5528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0UlLxTAQAOAgij6Xi3cl4EWE6qRJuhwf7igKoueSplONtk1NUsR_b_S5gKds38wkGUK2GRwy4OVRI9QAkLPyZYnMGM9EImVaLJMZAPAkzaRYI-veP8clAwmrZI2XKY8knxE7Hyh2qIOz-gl7o1VHa2M9Dt46iq-TGUds6JsJT1TRzj4aTbVxejKBKh-3fK9cnE7B9irYgbYxLLzZpDd3N3M6qhDQDbTBEGsYO2ySlVZ1Hre-xw3ycHZ6f3yRXN-eXx7PrxOdpllIyqJQkAtetJxnOaslqFyrVmidNUqgYixjUhdMQC0FslJIbNOmxDzN6kyqlm-Q_UXe0dnXCX2oeuM1dp0a0E6-4gyg_Izjke79o892ckO8XVSMSy6BQ1QHC6Wd9d5hW43OxLe_VwyqzzZUJ2J-89WGq4h3v1NOdY_NL_359wh2FsB5_Xv610f-AYKVjFg</recordid><startdate>20241007</startdate><enddate>20241007</enddate><creator>Xie, Benting</creator><creator>Du, Shimao</creator><creator>Gao, Hejun</creator><creator>Zhang, Juan</creator><creator>Fu, Hongquan</creator><creator>Liao, Yunwen</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4419-0702</orcidid><orcidid>https://orcid.org/0000-0001-5474-7052</orcidid><orcidid>https://orcid.org/0009-0008-4655-9615</orcidid><orcidid>https://orcid.org/0009-0008-4128-4392</orcidid></search><sort><creationdate>20241007</creationdate><title>An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection</title><author>Xie, Benting ; Du, Shimao ; Gao, Hejun ; Zhang, Juan ; Fu, Hongquan ; Liao, Yunwen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c226t-988a07438f33671b50a7caf4cc6da4ea11615c8140b54e1945ef2d9e726b65af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automata theory</topic><topic>Biological effects</topic><topic>Biomarkers</topic><topic>Biosensing Techniques - methods</topic><topic>Biosensors</topic><topic>Cellular automata</topic><topic>Computation</topic><topic>Electrochemical Techniques - instrumentation</topic><topic>Electrochemical Techniques - methods</topic><topic>Electrodes</topic><topic>Ferrous Compounds - chemistry</topic><topic>Gene sequencing</topic><topic>Humans</topic><topic>Limit of Detection</topic><topic>Logic</topic><topic>Logic circuits</topic><topic>Metallocenes - chemistry</topic><topic>MicroRNAs - analysis</topic><topic>MicroRNAs - genetics</topic><topic>Nucleic Acid Hybridization</topic><topic>Square waves</topic><topic>Target detection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Benting</creatorcontrib><creatorcontrib>Du, Shimao</creatorcontrib><creatorcontrib>Gao, Hejun</creatorcontrib><creatorcontrib>Zhang, Juan</creatorcontrib><creatorcontrib>Fu, Hongquan</creatorcontrib><creatorcontrib>Liao, Yunwen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Analyst (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Benting</au><au>Du, Shimao</au><au>Gao, Hejun</au><au>Zhang, Juan</au><au>Fu, Hongquan</au><au>Liao, Yunwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection</atitle><jtitle>Analyst (London)</jtitle><addtitle>Analyst</addtitle><date>2024-10-07</date><risdate>2024</risdate><volume>149</volume><issue>2</issue><spage>511</spage><epage>5117</epage><pages>511-5117</pages><issn>0003-2654</issn><issn>1364-5528</issn><eissn>1364-5528</eissn><abstract>Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays. Here, we introduced an electrochemical biosensor equipped with computing functions, acting as a smart automaton to enable computing-based detection. By defining the logic combinations of miR-21 and miR-122 as detection patterns, we proposed the corresponding AND and OR detection automata. In both logic gate modes, miR-21 and miR-122 could be replaced with single-stranded F
O
or F
A
, modified with Fc, binding to the S chain on the electrode surface. This process led to a significant decrease in the square wave voltammetry (SWV) of Fc on the same sensing platform, as numerous ferrocene (Fc)-tagged DNA fragments escaped from the electrode surface. Experimental results indicated that both automata efficiently and sensitively detected the presence of the two targets. This strategy highlighted how a small amount of target could generate a large current signal decrease in the logic automata, significantly reducing the detection limit for monitoring low-abundance targets. Moreover, the short-stranded DNA components of the detection automata exhibited a simple composition and easy programmability of probe sequences, offering an innovative detection mode. This simplified the complex process of detection, data collection, computation, and evaluation. The direct detection result ("0" or "1") was exported according to the embedded computation code. This approach could be expanded into a detection system for identifying other sets of biomarkers, enhancing its potential for clinical applications.
Detecting multiple targets in complex cellular and biological environments yields more reliable results than single-label assays.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>39235287</pmid><doi>10.1039/d4an00719k</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-4419-0702</orcidid><orcidid>https://orcid.org/0000-0001-5474-7052</orcidid><orcidid>https://orcid.org/0009-0008-4655-9615</orcidid><orcidid>https://orcid.org/0009-0008-4128-4392</orcidid></addata></record> |
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subjects | Automata theory Biological effects Biomarkers Biosensing Techniques - methods Biosensors Cellular automata Computation Electrochemical Techniques - instrumentation Electrochemical Techniques - methods Electrodes Ferrous Compounds - chemistry Gene sequencing Humans Limit of Detection Logic Logic circuits Metallocenes - chemistry MicroRNAs - analysis MicroRNAs - genetics Nucleic Acid Hybridization Square waves Target detection |
title | An electrochemical biosensor equipped with a logic circuit as a smart automaton for two-miRNA pattern detection |
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