Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2

Predicting antibody pair performance in a sandwich format streamlines development of antibody-based diagnostics and laboratory research tools, such as enzyme-linked immunosorbent assays (ELISAs) and lateral flow immunoassays (LFAs). We have evaluated panels of monoclonal antibodies against the malar...

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Autores principales: Markwalter, C.F., Jang, I.K., Burton, R.A., Domingo, G.J., Wright, D.W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552614/
https://www.ncbi.nlm.nih.gov/pubmed/28698001
http://dx.doi.org/10.1016/j.ab.2017.07.010
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author Markwalter, C.F.
Jang, I.K.
Burton, R.A.
Domingo, G.J.
Wright, D.W.
author_facet Markwalter, C.F.
Jang, I.K.
Burton, R.A.
Domingo, G.J.
Wright, D.W.
author_sort Markwalter, C.F.
collection PubMed
description Predicting antibody pair performance in a sandwich format streamlines development of antibody-based diagnostics and laboratory research tools, such as enzyme-linked immunosorbent assays (ELISAs) and lateral flow immunoassays (LFAs). We have evaluated panels of monoclonal antibodies against the malarial parasite biomarker Plasmodium falciparum histidine rich protein 2 (HRP2), including 9 new monoclonal antibodies, using biolayer interferometry (BLI) and screened antibody pairs in a checkerboard ELISA. This study showed BLI predicts antibody pair ELISA performance for HRP2. Pairs that included capture antibodies with low off-rate constants and detection antibodies with high on-rate constants performed best in an ELISA format.
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spelling pubmed-55526142017-10-01 Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2 Markwalter, C.F. Jang, I.K. Burton, R.A. Domingo, G.J. Wright, D.W. Anal Biochem Article Predicting antibody pair performance in a sandwich format streamlines development of antibody-based diagnostics and laboratory research tools, such as enzyme-linked immunosorbent assays (ELISAs) and lateral flow immunoassays (LFAs). We have evaluated panels of monoclonal antibodies against the malarial parasite biomarker Plasmodium falciparum histidine rich protein 2 (HRP2), including 9 new monoclonal antibodies, using biolayer interferometry (BLI) and screened antibody pairs in a checkerboard ELISA. This study showed BLI predicts antibody pair ELISA performance for HRP2. Pairs that included capture antibodies with low off-rate constants and detection antibodies with high on-rate constants performed best in an ELISA format. Elsevier 2017-10-01 /pmc/articles/PMC5552614/ /pubmed/28698001 http://dx.doi.org/10.1016/j.ab.2017.07.010 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Markwalter, C.F.
Jang, I.K.
Burton, R.A.
Domingo, G.J.
Wright, D.W.
Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title_full Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title_fullStr Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title_full_unstemmed Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title_short Biolayer interferometry predicts ELISA performance of monoclonal antibody pairs for Plasmodium falciparum histidine-rich protein 2
title_sort biolayer interferometry predicts elisa performance of monoclonal antibody pairs for plasmodium falciparum histidine-rich protein 2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552614/
https://www.ncbi.nlm.nih.gov/pubmed/28698001
http://dx.doi.org/10.1016/j.ab.2017.07.010
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