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multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection
Serology has provided valuable diagnostic and epidemiological data on antibody responses to SARS-CoV-2 in diverse patient cohorts. Deployment of high content, multiplex serology platforms across the world, including in low and medium income countries, can accelerate longitudinal epidemiological surv...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132273/ https://www.ncbi.nlm.nih.gov/pubmed/34013298 http://dx.doi.org/10.1101/2021.05.07.21249238 |
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author | Byrum, Janie R. Waltari, Eric Janson, Owen Guo, Syuan-Ming Folkesson, Jenny Chhun, Bryant B. Vinden, Joanna Ivanov, Ivan E. Forst, Marcus L. Li, Hongquan Larson, Adam G. Wu, Wesley Tato, Cristina M. McCutcheon, Krista M. Peluso, Michael J. Henrich, Timothy J. Deeks, Steven G. Prakash, Manu Greenhouse, Bryan Pak, John E. Mehta, Shalin B. |
author_facet | Byrum, Janie R. Waltari, Eric Janson, Owen Guo, Syuan-Ming Folkesson, Jenny Chhun, Bryant B. Vinden, Joanna Ivanov, Ivan E. Forst, Marcus L. Li, Hongquan Larson, Adam G. Wu, Wesley Tato, Cristina M. McCutcheon, Krista M. Peluso, Michael J. Henrich, Timothy J. Deeks, Steven G. Prakash, Manu Greenhouse, Bryan Pak, John E. Mehta, Shalin B. |
author_sort | Byrum, Janie R. |
collection | PubMed |
description | Serology has provided valuable diagnostic and epidemiological data on antibody responses to SARS-CoV-2 in diverse patient cohorts. Deployment of high content, multiplex serology platforms across the world, including in low and medium income countries, can accelerate longitudinal epidemiological surveys. Here we report multiSero, an open platform to enable multiplex serology with up to 48 antigens in a 96-well format. The platform consists of three components: ELISA-array of printed proteins, a commercial or home-built plate reader, and modular python software for automated analysis (pysero). We validate the platform by comparing antibody titers against the SARS-CoV-2 Spike, receptor binding domain (RBD), and nucleocapsid (N) in 114 sera from COVID-19 positive individuals and 87 pre-pandemic COVID-19 negative sera. We report data with both a commercial plate reader and an inexpensive, open plate reader (nautilus). Receiver operating characteristic (ROC) analysis of classification with single antigens shows that Spike and RBD classify positive and negative sera with the highest sensitivity at a given specificity. The platform distinguished positive sera from negative sera when the reactivity of the sera was equivalent to the binding of 1 ng mL(−1) RBD-specific monoclonal antibody. We developed normalization and classification methods to pool antibody responses from multiple antigens and multiple experiments. Our results demonstrate a performant and accessible pipeline for multiplexed ELISA ready for multiple applications, including serosurveillance, identification of viral proteins that elicit antibody responses, differential diagnosis of circulating pathogens, and immune responses to vaccines. |
format | Online Article Text |
id | pubmed-8132273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-81322732021-05-20 multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection Byrum, Janie R. Waltari, Eric Janson, Owen Guo, Syuan-Ming Folkesson, Jenny Chhun, Bryant B. Vinden, Joanna Ivanov, Ivan E. Forst, Marcus L. Li, Hongquan Larson, Adam G. Wu, Wesley Tato, Cristina M. McCutcheon, Krista M. Peluso, Michael J. Henrich, Timothy J. Deeks, Steven G. Prakash, Manu Greenhouse, Bryan Pak, John E. Mehta, Shalin B. medRxiv Article Serology has provided valuable diagnostic and epidemiological data on antibody responses to SARS-CoV-2 in diverse patient cohorts. Deployment of high content, multiplex serology platforms across the world, including in low and medium income countries, can accelerate longitudinal epidemiological surveys. Here we report multiSero, an open platform to enable multiplex serology with up to 48 antigens in a 96-well format. The platform consists of three components: ELISA-array of printed proteins, a commercial or home-built plate reader, and modular python software for automated analysis (pysero). We validate the platform by comparing antibody titers against the SARS-CoV-2 Spike, receptor binding domain (RBD), and nucleocapsid (N) in 114 sera from COVID-19 positive individuals and 87 pre-pandemic COVID-19 negative sera. We report data with both a commercial plate reader and an inexpensive, open plate reader (nautilus). Receiver operating characteristic (ROC) analysis of classification with single antigens shows that Spike and RBD classify positive and negative sera with the highest sensitivity at a given specificity. The platform distinguished positive sera from negative sera when the reactivity of the sera was equivalent to the binding of 1 ng mL(−1) RBD-specific monoclonal antibody. We developed normalization and classification methods to pool antibody responses from multiple antigens and multiple experiments. Our results demonstrate a performant and accessible pipeline for multiplexed ELISA ready for multiple applications, including serosurveillance, identification of viral proteins that elicit antibody responses, differential diagnosis of circulating pathogens, and immune responses to vaccines. Cold Spring Harbor Laboratory 2021-05-11 /pmc/articles/PMC8132273/ /pubmed/34013298 http://dx.doi.org/10.1101/2021.05.07.21249238 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Byrum, Janie R. Waltari, Eric Janson, Owen Guo, Syuan-Ming Folkesson, Jenny Chhun, Bryant B. Vinden, Joanna Ivanov, Ivan E. Forst, Marcus L. Li, Hongquan Larson, Adam G. Wu, Wesley Tato, Cristina M. McCutcheon, Krista M. Peluso, Michael J. Henrich, Timothy J. Deeks, Steven G. Prakash, Manu Greenhouse, Bryan Pak, John E. Mehta, Shalin B. multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title | multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title_full | multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title_fullStr | multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title_full_unstemmed | multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title_short | multiSero: open multiplex-ELISA platform for analyzing antibody responses to SARS-CoV-2 infection |
title_sort | multisero: open multiplex-elisa platform for analyzing antibody responses to sars-cov-2 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132273/ https://www.ncbi.nlm.nih.gov/pubmed/34013298 http://dx.doi.org/10.1101/2021.05.07.21249238 |
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