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dc.contributor.authorDíez, Paula-
dc.contributor.authorJara-Acevedo, Ricardo-
dc.contributor.authorGonzález González, María-
dc.contributor.authorCasado-Vela, Juan-
dc.contributor.authorDasilva, Noelia-
dc.contributor.authorLécrevisse, Quentin-
dc.contributor.authorBartolomé, Raquel-
dc.contributor.authorOrfao, Alberto-
dc.contributor.authorFuentes, Manuel-
dc.date.accessioned2015-10-09T12:42:58Z-
dc.date.available2015-10-09T12:42:58Z-
dc.date.issued2015-
dc.identifierdoi: 10.1016/j.enzmictec.2015.06.016-
dc.identifierissn: 0141-0229-
dc.identifiere-issn: 1879-0909-
dc.identifier.citationEnzyme and Microbial Technology 79-80: 34-41 (2015)-
dc.identifier.urihttp://hdl.handle.net/10261/123254-
dc.descriptionet al.-
dc.description.abstractEmerging technologies for the design and generation of human antibodies require improved approaches enabling their screening, characterization and validation. Currently, strategies based on ELISA or western blot are used to that aim. However, the ever increasing number of novel antibodies generated would benefit from the development of new high-throughput (HT) platforms facilitating rapid antibody identification and characterization. Herein, we describe a protein chip bearing recombinant phage particles and based on a large phage antibody library. In this paper we have set forth a novel implementation which provides a powerful and simple methodology enabling the identification of single-chain variable fragments (scFv). As a proof-of-principle of this method, we tested it with recombinant antigen (human recombinant interleukin 8). Additionally, we developed a novel bioinformatics tool that serves to compare this novel strategy with traditional methods. The method described here, together with associated informatics tools, is robust, relatively fast and represents a step-forward in protocols including phage library screenings.-
dc.description.sponsorshipWe gratefully acknowledge financial support from the Carlos III Health Institute of Spain (ISCIII, FIS PI11/02114)-Fondos FEDER and Junta Castilla-León SA198A12-2. The Proteomics Unit belongs to ProteoRed, PRB2-ISCIII, supported by grant PT13/0001. Paula Díez and Noelia Dasilva are supported by a JCYLEDU/346/2013 Ph.D., scholarship. María González-González and Raquel Bartolomé are supported by ISCIII FIS08/00721 Ph.D., scholarship and MEC 2009 scholarship, respectively. J. Casado-Vela is a JAE-DOC (CSIC) holder supported by Ministerio de Economía y Competitividad, Spain, co-funded by the European Social Fund (FEDER).-
dc.publisherElsevier-
dc.rightsclosedAccess-
dc.titleHigh-throughgput phage-display screening in array format-
dc.typeartículo-
dc.identifier.doihttp://dx.doi.org/10.1016/j.enzmictec.2015.06.016-
dc.date.updated2015-10-09T12:42:58Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.contributor.funderJunta de Castilla y León-
dc.contributor.funderEuropean Commission-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderConsejo Superior de Investigaciones Científicas (España)-
dc.contributor.funderInstituto de Salud Carlos III-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003339es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004587es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100014180es_ES
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