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AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays.

Published version
Peer-reviewed

Type

Article

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Authors

Palmer, Phil 
Del Rosario, Joanne Marie M 
da Costa, Kelly AS 
Carnell, George W 
Huang, Chloe Q 

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.

Description

Keywords

ELLA, SARS-C0V-2, biological assay, data analysis, dose-response, influenza, pseudotype neutralization, pseudovirus, Antibodies, Neutralizing, Antibodies, Viral, COVID-19, Data Interpretation, Statistical, Dose-Response Relationship, Drug, Humans, Immunoassay, Influenza A virus, Influenza, Human, Quality Control, SARS-CoV-2, Software

Journal Title

Front Immunol

Conference Name

Journal ISSN

1664-3224
1664-3224

Volume Title

12

Publisher

Frontiers Media
Sponsorship
National Institute for Health Research (NIHR) (COV0170)