Characterisation of Peptide Microarrays for Studying Antibody-Antigen Binding Using Surface Plasmon Resonance Imagery
Identifieur interne : 002A40 ( Pmc/Curation ); précédent : 002A39; suivant : 002A41Characterisation of Peptide Microarrays for Studying Antibody-Antigen Binding Using Surface Plasmon Resonance Imagery
Auteurs : Claude Nogues [France] ; Hervé Leh [France] ; Christopher G. Langendorf [Australie] ; Ruby H. P. Law [Australie] ; Ashley M. Buckle [Australie] ; Malcolm Buckle [France]Source :
- PLoS ONE [ 1932-6203 ] ; 2010.
Abstract
Non-specific binding to biosensor surfaces is a major obstacle to quantitative analysis of selective retention of analytes at immobilized target molecules. Although a range of chemical antifouling monolayers has been developed to address this problem, many macromolecular interactions still remain refractory to analysis due to the prevalent high degree of non-specific binding. We describe how we use the dynamic process of the formation of self assembling monolayers and optimise physical and chemical properties thus reducing considerably non-specific binding and allowing analysis of specific binding of analytes to immobilized target molecules.
We illustrate this approach by the production of specific protein arrays for the analysis of interactions between the 65kDa isoform of human glutamate decarboxylase (GAD65) and a human monoclonal antibody. Our data illustrate that we have effectively eliminated non-specific interactions with the surface containing the immobilised GAD65 molecules. The findings have several implications. First, this approach obviates the dubious process of background subtraction and gives access to more accurate kinetic and equilibrium values that are no longer contaminated by multiphase non-specific binding. Second, an enhanced signal to noise ratio increases not only the sensitivity but also confidence in the use of SPR to generate kinetic constants that may then be inserted into van't Hoff type analyses to provide comparative ΔG, ΔS and ΔH values, making this an efficient, rapid and competitive alternative to ITC measurements used in drug and macromolecular-interaction mechanistic studies. Third, the accuracy of the measurements allows the application of more intricate interaction models than simple Langmuir monophasic binding.
The detection and measurement of antibody binding by the type 1 diabetes autoantigen GAD65 represents an example of an antibody-antigen interaction where good structural, mechanistic and immunological data are available. Using SPRi we were able to characterise the kinetics of the interaction in greater detail than ELISA/RIA methods. Furthermore, our data indicate that SPRi is well suited to a multiplexed immunoassay using GAD65 proteins, and may be applicable to other biomarkers.
Url:
DOI: 10.1371/journal.pone.0012152
PubMed: 20730101
PubMed Central: 2921342
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Non-specific binding to biosensor surfaces is a major obstacle to quantitative analysis of selective retention of analytes at immobilized target molecules. Although a range of chemical antifouling monolayers has been developed to address this problem, many macromolecular interactions still remain refractory to analysis due to the prevalent high degree of non-specific binding. We describe how we use the dynamic process of the formation of self assembling monolayers and optimise physical and chemical properties thus reducing considerably non-specific binding and allowing analysis of specific binding of analytes to immobilized target molecules.</p>
</sec>
<sec><title>Methodology/Principal Findings</title>
<p>We illustrate this approach by the production of specific protein arrays for the analysis of interactions between the 65kDa isoform of human glutamate decarboxylase (GAD65) and a human monoclonal antibody. Our data illustrate that we have effectively eliminated non-specific interactions with the surface containing the immobilised GAD65 molecules. The findings have several implications. First, this approach obviates the dubious process of background subtraction and gives access to more accurate kinetic and equilibrium values that are no longer contaminated by multiphase non-specific binding. Second, an enhanced signal to noise ratio increases not only the sensitivity but also confidence in the use of SPR to generate kinetic constants that may then be inserted into van't Hoff type analyses to provide comparative ΔG, ΔS and ΔH values, making this an efficient, rapid and competitive alternative to ITC measurements used in drug and macromolecular-interaction mechanistic studies. Third, the accuracy of the measurements allows the application of more intricate interaction models than simple Langmuir monophasic binding.</p>
</sec>
<sec><title>Conclusions</title>
<p>The detection and measurement of antibody binding by the type 1 diabetes autoantigen GAD65 represents an example of an antibody-antigen interaction where good structural, mechanistic and immunological data are available. Using SPRi we were able to characterise the kinetics of the interaction in greater detail than ELISA/RIA methods. Furthermore, our data indicate that SPRi is well suited to a multiplexed immunoassay using GAD65 proteins, and may be applicable to other biomarkers.</p>
</sec>
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<title-group><article-title>Characterisation of Peptide Microarrays for Studying Antibody-Antigen Binding Using Surface Plasmon Resonance Imagery</article-title>
<alt-title alt-title-type="running-head">SPRi of GAD65-Antibody Binding</alt-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Nogues</surname>
<given-names>Claude</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup>
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<given-names>Hervé</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup>
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<given-names>Christopher G.</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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<contrib contrib-type="author"><name><surname>Law</surname>
<given-names>Ruby H. P.</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Buckle</surname>
<given-names>Ashley M.</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Buckle</surname>
<given-names>Malcolm</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1"><sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label>
<addr-line>Dynamics of Macromolecular Complexes, Laboratoire de Biologie et Pharmacologie Appliquée, UMR 8113 du CNRS, Institut d'Alembert, Ecole Normale Supérieure de Cachan, Cachan, France</addr-line>
</aff>
<aff id="aff2"><label>2</label>
<addr-line>Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Butko</surname>
<given-names>Peter</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">University of Maryland-Baltimore, School of Pharmacy, United States of America</aff>
<author-notes><corresp id="cor1">* E-mail: <email>ashley.buckle@monash.edu</email>
(AMB); <email>buckle@lbpa.ens-cachan.fr</email>
(MB)</corresp>
<fn fn-type="con"><p>Conceived and designed the experiments: AMB MB. Performed the experiments: CN HL MB. Analyzed the data: CN HL AMB MB. Contributed reagents/materials/analysis tools: CN HL CGL RHPL AMB MB. Wrote the paper: AMB MB.</p>
</fn>
</author-notes>
<pub-date pub-type="collection"><year>2010</year>
</pub-date>
<pub-date pub-type="epub"><day>13</day>
<month>8</month>
<year>2010</year>
</pub-date>
<volume>5</volume>
<issue>8</issue>
<elocation-id>e12152</elocation-id>
<history><date date-type="received"><day>31</day>
<month>5</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>19</day>
<month>7</month>
<year>2010</year>
</date>
</history>
<permissions><copyright-statement>Nogues et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</copyright-statement>
</permissions>
<abstract><sec><title>Background</title>
<p>Non-specific binding to biosensor surfaces is a major obstacle to quantitative analysis of selective retention of analytes at immobilized target molecules. Although a range of chemical antifouling monolayers has been developed to address this problem, many macromolecular interactions still remain refractory to analysis due to the prevalent high degree of non-specific binding. We describe how we use the dynamic process of the formation of self assembling monolayers and optimise physical and chemical properties thus reducing considerably non-specific binding and allowing analysis of specific binding of analytes to immobilized target molecules.</p>
</sec>
<sec><title>Methodology/Principal Findings</title>
<p>We illustrate this approach by the production of specific protein arrays for the analysis of interactions between the 65kDa isoform of human glutamate decarboxylase (GAD65) and a human monoclonal antibody. Our data illustrate that we have effectively eliminated non-specific interactions with the surface containing the immobilised GAD65 molecules. The findings have several implications. First, this approach obviates the dubious process of background subtraction and gives access to more accurate kinetic and equilibrium values that are no longer contaminated by multiphase non-specific binding. Second, an enhanced signal to noise ratio increases not only the sensitivity but also confidence in the use of SPR to generate kinetic constants that may then be inserted into van't Hoff type analyses to provide comparative ΔG, ΔS and ΔH values, making this an efficient, rapid and competitive alternative to ITC measurements used in drug and macromolecular-interaction mechanistic studies. Third, the accuracy of the measurements allows the application of more intricate interaction models than simple Langmuir monophasic binding.</p>
</sec>
<sec><title>Conclusions</title>
<p>The detection and measurement of antibody binding by the type 1 diabetes autoantigen GAD65 represents an example of an antibody-antigen interaction where good structural, mechanistic and immunological data are available. Using SPRi we were able to characterise the kinetics of the interaction in greater detail than ELISA/RIA methods. Furthermore, our data indicate that SPRi is well suited to a multiplexed immunoassay using GAD65 proteins, and may be applicable to other biomarkers.</p>
</sec>
</abstract>
<counts><page-count count="6"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>
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