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Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples

DNA microarrays were rapidly scaled up from 256 to 6.5 million targets, and although antibody microarrays were proposed earlier, sensitive multiplex sandwich assays have only been scaled up to a few tens of targets. Cross-reactivity, arising because detection antibodies are mixed, is a known weaknes...

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Autores principales: Pla-Roca, M., Leulmi, R. F., Tourekhanova, S., Bergeron, S., Laforte, V., Moreau, E., Gosline, S. J. C., Bertos, N., Hallett, M., Park, M., Juncker, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322566/
https://www.ncbi.nlm.nih.gov/pubmed/22171321
http://dx.doi.org/10.1074/mcp.M111.011460
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author Pla-Roca, M.
Leulmi, R. F.
Tourekhanova, S.
Bergeron, S.
Laforte, V.
Moreau, E.
Gosline, S. J. C.
Bertos, N.
Hallett, M.
Park, M.
Juncker, D.
author_facet Pla-Roca, M.
Leulmi, R. F.
Tourekhanova, S.
Bergeron, S.
Laforte, V.
Moreau, E.
Gosline, S. J. C.
Bertos, N.
Hallett, M.
Park, M.
Juncker, D.
author_sort Pla-Roca, M.
collection PubMed
description DNA microarrays were rapidly scaled up from 256 to 6.5 million targets, and although antibody microarrays were proposed earlier, sensitive multiplex sandwich assays have only been scaled up to a few tens of targets. Cross-reactivity, arising because detection antibodies are mixed, is a known weakness of multiplex sandwich assays that is mitigated by lengthy optimization. Here, we introduce (1) vulnerability as a metric for assays. The vulnerability of multiplex sandwich assays to cross-reactivity increases quadratically with the number of targets, and together with experimental results, substantiates that scaling up of multiplex sandwich assays is unfeasible. We propose (2) a novel concept for multiplexing without mixing named antibody colocalization microarray (ACM). In ACMs, both capture and detection antibodies are physically colocalized by spotting to the same two-dimensional coordinate. Following spotting of the capture antibodies, the chip is removed from the arrayer, incubated with the sample, placed back onto the arrayer and then spotted with the detection antibodies. ACMs with up to 50 targets were produced, along with a binding curve for each protein. The ACM was validated by comparing it to ELISA and to a small-scale, conventional multiplex sandwich assay (MSA). Using ACMs, proteins in the serum of breast cancer patients and healthy controls were quantified, and six candidate biomarkers identified. Our results indicate that ACMs are sensitive, robust, and scalable.
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spelling pubmed-33225662012-04-12 Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples Pla-Roca, M. Leulmi, R. F. Tourekhanova, S. Bergeron, S. Laforte, V. Moreau, E. Gosline, S. J. C. Bertos, N. Hallett, M. Park, M. Juncker, D. Mol Cell Proteomics Technological Innovation and Resources DNA microarrays were rapidly scaled up from 256 to 6.5 million targets, and although antibody microarrays were proposed earlier, sensitive multiplex sandwich assays have only been scaled up to a few tens of targets. Cross-reactivity, arising because detection antibodies are mixed, is a known weakness of multiplex sandwich assays that is mitigated by lengthy optimization. Here, we introduce (1) vulnerability as a metric for assays. The vulnerability of multiplex sandwich assays to cross-reactivity increases quadratically with the number of targets, and together with experimental results, substantiates that scaling up of multiplex sandwich assays is unfeasible. We propose (2) a novel concept for multiplexing without mixing named antibody colocalization microarray (ACM). In ACMs, both capture and detection antibodies are physically colocalized by spotting to the same two-dimensional coordinate. Following spotting of the capture antibodies, the chip is removed from the arrayer, incubated with the sample, placed back onto the arrayer and then spotted with the detection antibodies. ACMs with up to 50 targets were produced, along with a binding curve for each protein. The ACM was validated by comparing it to ELISA and to a small-scale, conventional multiplex sandwich assay (MSA). Using ACMs, proteins in the serum of breast cancer patients and healthy controls were quantified, and six candidate biomarkers identified. Our results indicate that ACMs are sensitive, robust, and scalable. The American Society for Biochemistry and Molecular Biology 2012-04 2011-12-14 /pmc/articles/PMC3322566/ /pubmed/22171321 http://dx.doi.org/10.1074/mcp.M111.011460 Text en © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) applies to Author Choice Articles
spellingShingle Technological Innovation and Resources
Pla-Roca, M.
Leulmi, R. F.
Tourekhanova, S.
Bergeron, S.
Laforte, V.
Moreau, E.
Gosline, S. J. C.
Bertos, N.
Hallett, M.
Park, M.
Juncker, D.
Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title_full Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title_fullStr Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title_full_unstemmed Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title_short Antibody Colocalization Microarray: A Scalable Technology for Multiplex Protein Analysis in Complex Samples
title_sort antibody colocalization microarray: a scalable technology for multiplex protein analysis in complex samples
topic Technological Innovation and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322566/
https://www.ncbi.nlm.nih.gov/pubmed/22171321
http://dx.doi.org/10.1074/mcp.M111.011460
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