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Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
New technologies that utilize capillary-based immunoassays promise faster and more quantitative protein assessment compared to traditional immunoassays. However, similar to other antibody-based protein assays, optimization of capillary-based immunoassay parameters, such as protein concentration, ant...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752198/ https://www.ncbi.nlm.nih.gov/pubmed/28930974 http://dx.doi.org/10.3791/55911 |
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author | Nelson, Gail M Guynn, Jenna M Chorley, Brian N |
author_facet | Nelson, Gail M Guynn, Jenna M Chorley, Brian N |
author_sort | Nelson, Gail M |
collection | PubMed |
description | New technologies that utilize capillary-based immunoassays promise faster and more quantitative protein assessment compared to traditional immunoassays. However, similar to other antibody-based protein assays, optimization of capillary-based immunoassay parameters, such as protein concentration, antibody dilution, and exposure time is an important prerequisite to the generation of meaningful and reliable data. Measurements must fall within the linear range of the assay where changes in signal are directly proportional to changes in lysate concentration. The process of choosing appropriate lysate concentrations, antibody dilutions, and exposure times in the human bronchial epithelial cell line, BEAS-2B, is demonstrated here. Assay linearity is shown over a range of whole cell extract protein concentrations with p53 and α-tubulin antibodies. An example of signal burnout is seen at the highest concentrations with long exposure times, and an α-tubulin antibody dilution curve is shown demonstrating saturation. In addition, example experimental results are reported for doxorubicin-treated cells using optimized parameters. |
format | Online Article Text |
id | pubmed-5752198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-57521982018-01-19 Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method Nelson, Gail M Guynn, Jenna M Chorley, Brian N J Vis Exp Biochemistry New technologies that utilize capillary-based immunoassays promise faster and more quantitative protein assessment compared to traditional immunoassays. However, similar to other antibody-based protein assays, optimization of capillary-based immunoassay parameters, such as protein concentration, antibody dilution, and exposure time is an important prerequisite to the generation of meaningful and reliable data. Measurements must fall within the linear range of the assay where changes in signal are directly proportional to changes in lysate concentration. The process of choosing appropriate lysate concentrations, antibody dilutions, and exposure times in the human bronchial epithelial cell line, BEAS-2B, is demonstrated here. Assay linearity is shown over a range of whole cell extract protein concentrations with p53 and α-tubulin antibodies. An example of signal burnout is seen at the highest concentrations with long exposure times, and an α-tubulin antibody dilution curve is shown demonstrating saturation. In addition, example experimental results are reported for doxorubicin-treated cells using optimized parameters. MyJove Corporation 2017-09-10 /pmc/articles/PMC5752198/ /pubmed/28930974 http://dx.doi.org/10.3791/55911 Text en Copyright © 2017, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Biochemistry Nelson, Gail M Guynn, Jenna M Chorley, Brian N Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title | Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title_full | Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title_fullStr | Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title_full_unstemmed | Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title_short | Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method |
title_sort | procedure and key optimization strategies for an automated capillary electrophoretic-based immunoassay method |
topic | Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752198/ https://www.ncbi.nlm.nih.gov/pubmed/28930974 http://dx.doi.org/10.3791/55911 |
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