Literature DB >> 20729071

Peptide-protein microarrays and surface plasmon resonance detection: biosensors for versatile biomolecular interaction analysis.

Marie-Bernadette Villiers1, Sandra Cortès, Carine Brakha, Jean-Pierre Lavergne, Christophe A Marquette, Paul Deny, Thierry Livache, Patrice N Marche.   

Abstract

Biosensors in microarray format provide promising tools for high-throughput analyses of complex samples. Although they are able to detect, quantify and characterize a multitude of compounds, most of the available devices are specialized in the analysis of one type of interaction, limiting their application to a define area. The aim of our work was to develop and characterize versatile protein (or peptide) microarrays suitable for the simultaneous analysis of a large panel of biological interactions. Our system involved a simple procedure to immobilized proteins or peptides, based on pyrrole electropolymerization, and ligand binding was detected by imaging the surface plasmon resonance. We demonstrated its suitability in three different contexts, i.e. humoral response characterization, ion binding analysis and cell detection. This work evidences the potentiality of this approach which allows multiparametric, high-throughput and label-free analysis of biological samples suitable for the detection of compounds as various as proteins, ions or cells and the characterization of their interaction with peptides or proteins.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20729071     DOI: 10.1016/j.bios.2010.07.110

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  3 in total

1.  Biomolecular Interaction Analysis Using an Optical Surface Plasmon Resonance Biosensor: The Marquardt Algorithm vs Newton Iteration Algorithm.

Authors:  Jiandong Hu; Liuzheng Ma; Shun Wang; Jianming Yang; Keke Chang; Xinran Hu; Xiaohui Sun; Ruipeng Chen; Min Jiang; Juanhua Zhu; Yuanyuan Zhao
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

2.  TRB3 links insulin/IGF to tumour promotion by interacting with p62 and impeding autophagic/proteasomal degradations.

Authors:  Fang Hua; Ke Li; Jiao-Jiao Yu; Xiao-Xi Lv; Jun Yan; Xiao-Wei Zhang; Wei Sun; Heng Lin; Shuang Shang; Feng Wang; Bing Cui; Rong Mu; Bo Huang; Jian-Dong Jiang; Zhuo-Wei Hu
Journal:  Nat Commun       Date:  2015-08-13       Impact factor: 14.919

3.  Relationship between humoral response against hepatitis C virus and disease overcome.

Authors:  Carine Brakha; Philippe Arvers; Florent Villiers; Alice Marlu; Arnaud Buhot; Thierry Livache; Roberto Calemczuk; Jean-Pierre Zarski; Christian L Villiers; Patrice N Marche; Marie-Bernadette Villiers
Journal:  Springerplus       Date:  2014-01-27
  3 in total

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