AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays.
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Authors
Palmer, Phil
Del Rosario, Joanne Marie M
da Costa, Kelly AS
Carnell, George W
Huang, Chloe Q
Heeney, Jonathan L
Temperton, Nigel J
Wells, David A
Publication Date
2021Journal Title
Front Immunol
ISSN
1664-3224
Publisher
Frontiers Media
Volume
12
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Palmer, P., Del Rosario, J. M. M., da Costa, K. A., Carnell, G. W., Huang, C. Q., Heeney, J. L., Temperton, N. J., & et al. (2021). AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays.. Front Immunol, 12 https://doi.org/10.3389/fimmu.2021.681636
Abstract
The emergence of COVID-19 has emphasised that biological assay data must be analysed quickly to develop safe, effective and timely vaccines/therapeutics. For viruses such as SARS-CoV-2, the primary way of measuring immune correlates of protection is through assays such as the pseudotype microneutralisation (pMN) assay, thanks to its safety and versatility. However, despite the presence of existing tools for data analysis such as PRISM and R the analysis of these assays remains cumbersome and time-consuming. We introduce an open-source R Shiny web application and R library (AutoPlate) to accelerate data analysis of dose-response curve immunoassays. Using example data from influenza studies, we show that AutoPlate improves on available analysis software in terms of ease of use, flexibility and speed. AutoPlate (https://philpalmer.shinyapps.io/AutoPlate/) is a tool for the use of laboratories and wider scientific community to accelerate the analysis of biological assays in the development of viral vaccines and therapeutics.
Keywords
Influenza, Data analysis, Biological assay, Pseudovirus, Dose-response, Ella, Sars-c0v-2, Pseudotype Neutralization, Humans, Influenza A virus, Antibodies, Viral, Immunoassay, Data Interpretation, Statistical, Dose-Response Relationship, Drug, Quality Control, Software, Influenza, Human, Antibodies, Neutralizing, COVID-19, SARS-CoV-2
Sponsorship
National Institute for Health Research (NIHR) (COV0170)
Identifiers
35222351, PMC8866857
External DOI: https://doi.org/10.3389/fimmu.2021.681636
This record's URL: https://www.repository.cam.ac.uk/handle/1810/335539
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