Stochastic Sensing with Protein Pores
Biosensors are required in a wide variety of applications for which existing technologies are inadequate. Recently, sensor elements with favorable properties have been made by engineering transmembrane protein pores. Analyte molecules modulate the ionic current passing through the engineered pores u...
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Veröffentlicht in: | Advanced materials (Weinheim) 2000-01, Vol.12 (2), p.139-142 |
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description | Biosensors are required in a wide variety of applications for which existing technologies are inadequate. Recently, sensor elements with favorable properties have been made by engineering transmembrane protein pores. Analyte molecules modulate the ionic current passing through the engineered pores under a transmembrane potential. Stochastic sensing, which uses currents from single pores, is an especially attractive prospect. This approach yields both the concentration and identity of an analyte, the latter from its distinctive current signature. In one example, the bacterial pore‐forming protein staphylococcal α‐hemolysin (αHL) has been altered to permit the detection of divalent metal cations by using mutagenesis to place a cation binding site within the conductive pathway. In a second example, the hemolysin pore has been modified with cyclodextrins, which act as non‐covalent molecular adapters, to allow the detection of a variety of small organic molecules. The great promise and wide applicability of stochastic sensing warrants efforts aimed at the development of a practicable device.
The engineering of transmembrane protein pores is a novel approach to biosensors, especially stochastic sensors, which use currents from single pores. These authors have used the polypeptide staphylococcal α‐hemolysin to detect not only metal ions but also organic molecules. The latter were detected with a cyclodextrin‐modified protein pore (see Figure) that allowed a series of molecules to be identified and quantified. |
doi_str_mv | 10.1002/(SICI)1521-4095(200001)12:2<139::AID-ADMA139>3.0.CO;2-Q |
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The engineering of transmembrane protein pores is a novel approach to biosensors, especially stochastic sensors, which use currents from single pores. These authors have used the polypeptide staphylococcal α‐hemolysin to detect not only metal ions but also organic molecules. The latter were detected with a cyclodextrin‐modified protein pore (see Figure) that allowed a series of molecules to be identified and quantified.</description><identifier>ISSN: 0935-9648</identifier><identifier>EISSN: 1521-4095</identifier><identifier>DOI: 10.1002/(SICI)1521-4095(200001)12:2<139::AID-ADMA139>3.0.CO;2-Q</identifier><language>eng</language><publisher>Weinheim: WILEY-VCH Verlag GmbH</publisher><subject>Biosensors ; Cyclodextrins ; Electric currents ; Ionic conduction ; Mutagenesis ; Polypeptides ; Polysaccharides ; Protein pores ; Proteins ; Sensors ; Sensors, stochatic ; stochatic</subject><ispartof>Advanced materials (Weinheim), 2000-01, Vol.12 (2), p.139-142</ispartof><rights>2000 WILEY‐VCH Verlag GmbH, Weinheim, Fed. Rep. of Germany</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F%28SICI%291521-4095%28200001%2912%3A2%3C139%3A%3AAID-ADMA139%3E3.0.CO%3B2-Q$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F%28SICI%291521-4095%28200001%2912%3A2%3C139%3A%3AAID-ADMA139%3E3.0.CO%3B2-Q$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Bayley, H.</creatorcontrib><creatorcontrib>Braha, O.</creatorcontrib><creatorcontrib>Gu, L.-Q.</creatorcontrib><title>Stochastic Sensing with Protein Pores</title><title>Advanced materials (Weinheim)</title><addtitle>Adv. Mater</addtitle><description>Biosensors are required in a wide variety of applications for which existing technologies are inadequate. Recently, sensor elements with favorable properties have been made by engineering transmembrane protein pores. Analyte molecules modulate the ionic current passing through the engineered pores under a transmembrane potential. Stochastic sensing, which uses currents from single pores, is an especially attractive prospect. This approach yields both the concentration and identity of an analyte, the latter from its distinctive current signature. In one example, the bacterial pore‐forming protein staphylococcal α‐hemolysin (αHL) has been altered to permit the detection of divalent metal cations by using mutagenesis to place a cation binding site within the conductive pathway. In a second example, the hemolysin pore has been modified with cyclodextrins, which act as non‐covalent molecular adapters, to allow the detection of a variety of small organic molecules. The great promise and wide applicability of stochastic sensing warrants efforts aimed at the development of a practicable device.
The engineering of transmembrane protein pores is a novel approach to biosensors, especially stochastic sensors, which use currents from single pores. These authors have used the polypeptide staphylococcal α‐hemolysin to detect not only metal ions but also organic molecules. The latter were detected with a cyclodextrin‐modified protein pore (see Figure) that allowed a series of molecules to be identified and quantified.</description><subject>Biosensors</subject><subject>Cyclodextrins</subject><subject>Electric currents</subject><subject>Ionic conduction</subject><subject>Mutagenesis</subject><subject>Polypeptides</subject><subject>Polysaccharides</subject><subject>Protein pores</subject><subject>Proteins</subject><subject>Sensors</subject><subject>Sensors, stochatic</subject><subject>stochatic</subject><issn>0935-9648</issn><issn>1521-4095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNqF0E1PwjAYwPHGaCKi34GLBg7DvqxlQ6NZhiIJr0FD4uVJV4pMgeE6gnx7uwy5aGIvff8d_gjdE1wnGNPr6rgTdmqEU-K42OdViu0gNUKb9JYwv9kMOi0naPUCu7ljdVwPBzfUGR2h0uHPMSphn3HHF653is6MebeEL7Aooctxlqi5NFmsKmO9MvHqrbKNs3llmCaZjleVYZJqc45OZnJh9MV-LqOXx4fn8MnpDtqdMOg6ilnQ4R5WXClBLC6VjCifYmmXXoNSl8-0EprNpgr71PUo9-y5S3AkVUR1xKdexMroqnDXafK50SaDZWyUXizkSicbA5S4ghNB7MNJ8VCliTGpnsE6jZcy3QHBkGcDyLNBngDyBFBkA0KBgi0FYLPBPhswwBAO7M3Iyq-FvI0XeveL_Uf9G_05srhT4LHJ9NcBl-kHiAZrcJj02zDh_Z5oTHxosW9Ex45O</recordid><startdate>200001</startdate><enddate>200001</enddate><creator>Bayley, H.</creator><creator>Braha, O.</creator><creator>Gu, L.-Q.</creator><general>WILEY-VCH Verlag GmbH</general><general>WILEY‐VCH Verlag GmbH</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>200001</creationdate><title>Stochastic Sensing with Protein Pores</title><author>Bayley, H. ; Braha, O. ; Gu, L.-Q.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3009-580c5cc61096acab25d0a96a872245fec6e3fdc09248258a87410bacb2eb5d8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Biosensors</topic><topic>Cyclodextrins</topic><topic>Electric currents</topic><topic>Ionic conduction</topic><topic>Mutagenesis</topic><topic>Polypeptides</topic><topic>Polysaccharides</topic><topic>Protein pores</topic><topic>Proteins</topic><topic>Sensors</topic><topic>Sensors, stochatic</topic><topic>stochatic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bayley, H.</creatorcontrib><creatorcontrib>Braha, O.</creatorcontrib><creatorcontrib>Gu, L.-Q.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><jtitle>Advanced materials (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bayley, H.</au><au>Braha, O.</au><au>Gu, L.-Q.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic Sensing with Protein Pores</atitle><jtitle>Advanced materials (Weinheim)</jtitle><addtitle>Adv. Mater</addtitle><date>2000-01</date><risdate>2000</risdate><volume>12</volume><issue>2</issue><spage>139</spage><epage>142</epage><pages>139-142</pages><issn>0935-9648</issn><eissn>1521-4095</eissn><abstract>Biosensors are required in a wide variety of applications for which existing technologies are inadequate. Recently, sensor elements with favorable properties have been made by engineering transmembrane protein pores. Analyte molecules modulate the ionic current passing through the engineered pores under a transmembrane potential. Stochastic sensing, which uses currents from single pores, is an especially attractive prospect. This approach yields both the concentration and identity of an analyte, the latter from its distinctive current signature. In one example, the bacterial pore‐forming protein staphylococcal α‐hemolysin (αHL) has been altered to permit the detection of divalent metal cations by using mutagenesis to place a cation binding site within the conductive pathway. In a second example, the hemolysin pore has been modified with cyclodextrins, which act as non‐covalent molecular adapters, to allow the detection of a variety of small organic molecules. The great promise and wide applicability of stochastic sensing warrants efforts aimed at the development of a practicable device.
The engineering of transmembrane protein pores is a novel approach to biosensors, especially stochastic sensors, which use currents from single pores. These authors have used the polypeptide staphylococcal α‐hemolysin to detect not only metal ions but also organic molecules. The latter were detected with a cyclodextrin‐modified protein pore (see Figure) that allowed a series of molecules to be identified and quantified.</abstract><cop>Weinheim</cop><pub>WILEY-VCH Verlag GmbH</pub><doi>10.1002/(SICI)1521-4095(200001)12:2<139::AID-ADMA139>3.0.CO;2-Q</doi><tpages>4</tpages></addata></record> |
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subjects | Biosensors Cyclodextrins Electric currents Ionic conduction Mutagenesis Polypeptides Polysaccharides Protein pores Proteins Sensors Sensors, stochatic stochatic |
title | Stochastic Sensing with Protein Pores |
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