Phages recognizing the Indium Nitride semiconductor surface via their peptides.
Identifieur interne : 001222 ( Main/Exploration ); précédent : 001221; suivant : 001223Phages recognizing the Indium Nitride semiconductor surface via their peptides.
Auteurs : RBID : pubmed:21234986English descriptors
- KwdEn :
- MESH :
- chemical , chemistry : Indium, Peptides.
- Microscopy, Atomic Force, Peptide Library, Semiconductors.
Abstract
Considerable advances in materials science are expected via the use of selected or designed peptides to recognize material, control their growth, or to assemble them into elaborate novel devices. Identifying specific peptides for a number of technologically useful materials has been the challenge of many research groups in recent years. This can be accomplished by using affinity-based bio-panning methods such as phage display technologies. In this work, a combinatorial library including billions of clones of genetically engineered M13 bacteriophage was used to select peptides that could recognize improved indium nitride (InN) semiconductor (SC) material. Several rounds of biopanning were necessary to select the phage with the higher affinity from the low variant library. The DNA of this specific phage was extracted and sequenced to set up the related specific adherent peptide. Atomic force microscopy (AFM) is used to demonstrate the real affinity of a selected phage for the InN surface. Due to the possibility of its functionalization with biomolecules and its important physical properties, InN is a promising candidate for developing affinity-based optical and electrical biosensors and/or for biomimetic applications.
DOI: 10.1002/psc.1315
PubMed: 21234986
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Le document en format XML
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<author><name sortKey="Estephan, Elias" uniqKey="Estephan E">Elias Estephan</name>
<affiliation wicri:level="3"><nlm:affiliation>EA 4203, UFR Odontologie, Université Montpellier I, 34193 Montpellier Cedex 5, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>EA 4203, UFR Odontologie, Université Montpellier I, 34193 Montpellier Cedex 5</wicri:regionArea>
<placeName><region type="region" nuts="2">Languedoc-Roussillon</region>
<settlement type="city">Montpellier</settlement>
</placeName>
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</author>
<author><name sortKey="Saab, Marie Belle" uniqKey="Saab M">Marie-Belle Saab</name>
</author>
<author><name sortKey="Martin, Marta" uniqKey="Martin M">Marta Martin</name>
</author>
<author><name sortKey="Larroque, Christian" uniqKey="Larroque C">Christian Larroque</name>
</author>
<author><name sortKey="Cuisinier, Frederic J G" uniqKey="Cuisinier F">Frédéric J G Cuisinier</name>
</author>
<author><name sortKey="Briot, Olivier" uniqKey="Briot O">Olivier Briot</name>
</author>
<author><name sortKey="Ruffenach, Sandra" uniqKey="Ruffenach S">Sandra Ruffenach</name>
</author>
<author><name sortKey="Moret, Matthieu" uniqKey="Moret M">Matthieu Moret</name>
</author>
<author><name sortKey="Gergely, Csilla" uniqKey="Gergely C">Csilla Gergely</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Indium (chemistry)</term>
<term>Microscopy, Atomic Force</term>
<term>Peptide Library</term>
<term>Peptides (chemistry)</term>
<term>Semiconductors</term>
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<term>Peptides</term>
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<front><div type="abstract" xml:lang="en">Considerable advances in materials science are expected via the use of selected or designed peptides to recognize material, control their growth, or to assemble them into elaborate novel devices. Identifying specific peptides for a number of technologically useful materials has been the challenge of many research groups in recent years. This can be accomplished by using affinity-based bio-panning methods such as phage display technologies. In this work, a combinatorial library including billions of clones of genetically engineered M13 bacteriophage was used to select peptides that could recognize improved indium nitride (InN) semiconductor (SC) material. Several rounds of biopanning were necessary to select the phage with the higher affinity from the low variant library. The DNA of this specific phage was extracted and sequenced to set up the related specific adherent peptide. Atomic force microscopy (AFM) is used to demonstrate the real affinity of a selected phage for the InN surface. Due to the possibility of its functionalization with biomolecules and its important physical properties, InN is a promising candidate for developing affinity-based optical and electrical biosensors and/or for biomimetic applications.</div>
</front>
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<DateCompleted><Year>2011</Year>
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<DateRevised><Year>2013</Year>
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<JournalIssue CitedMedium="Internet"><Volume>17</Volume>
<Issue>2</Issue>
<PubDate><Year>2011</Year>
<Month>Feb</Month>
</PubDate>
</JournalIssue>
<Title>Journal of peptide science : an official publication of the European Peptide Society</Title>
<ISOAbbreviation>J. Pept. Sci.</ISOAbbreviation>
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<ArticleTitle>Phages recognizing the Indium Nitride semiconductor surface via their peptides.</ArticleTitle>
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<Abstract><AbstractText>Considerable advances in materials science are expected via the use of selected or designed peptides to recognize material, control their growth, or to assemble them into elaborate novel devices. Identifying specific peptides for a number of technologically useful materials has been the challenge of many research groups in recent years. This can be accomplished by using affinity-based bio-panning methods such as phage display technologies. In this work, a combinatorial library including billions of clones of genetically engineered M13 bacteriophage was used to select peptides that could recognize improved indium nitride (InN) semiconductor (SC) material. Several rounds of biopanning were necessary to select the phage with the higher affinity from the low variant library. The DNA of this specific phage was extracted and sequenced to set up the related specific adherent peptide. Atomic force microscopy (AFM) is used to demonstrate the real affinity of a selected phage for the InN surface. Due to the possibility of its functionalization with biomolecules and its important physical properties, InN is a promising candidate for developing affinity-based optical and electrical biosensors and/or for biomimetic applications.</AbstractText>
<CopyrightInformation>Copyright © 2010 European Peptide Society and John Wiley & Sons, Ltd.</CopyrightInformation>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Estephan</LastName>
<ForeName>Elias</ForeName>
<Initials>E</Initials>
<Affiliation>EA 4203, UFR Odontologie, Université Montpellier I, 34193 Montpellier Cedex 5, France.</Affiliation>
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<Author ValidYN="Y"><LastName>Saab</LastName>
<ForeName>Marie-Belle</ForeName>
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<Author ValidYN="Y"><LastName>Martin</LastName>
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<Author ValidYN="Y"><LastName>Larroque</LastName>
<ForeName>Christian</ForeName>
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<Author ValidYN="Y"><LastName>Cuisinier</LastName>
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<Author ValidYN="Y"><LastName>Gergely</LastName>
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<Language>eng</Language>
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<PublicationType>Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2010</Year>
<Month>11</Month>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Pept Sci</MedlineTA>
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<ISSNLinking>1075-2617</ISSNLinking>
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<Chemical><RegistryNumber>0</RegistryNumber>
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<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance>indium nitride</NameOfSubstance>
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<Chemical><RegistryNumber>045A6V3VFX</RegistryNumber>
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<MeshHeading><DescriptorName MajorTopicYN="N">Peptides</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="Y">Semiconductors</DescriptorName>
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