Palmer, Phil, Del Rosario, Joanne Marie M., da Costa, Kelly A. S., Carnell, George W., Huang, Chloe Q., Heeney, Jonathan L., Temperton, Nigel J., Wells, David A. (2022) AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays. Frontiers in Immunology, 12 . ISSN 1664-3224. (doi:10.3389/fimmu.2021.681636) (KAR id:93174)
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Official URL: 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.
Item Type: | Article |
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DOI/Identification number: | 10.3389/fimmu.2021.681636 |
Subjects: | Q Science > QR Microbiology > QR355 Virology |
Divisions: | Divisions > Division of Natural Sciences > Medway School of Pharmacy |
Depositing User: | Nigel Temperton |
Date Deposited: | 13 Feb 2022 20:53 UTC |
Last Modified: | 05 Nov 2024 12:58 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/93174 (The current URI for this page, for reference purposes) |
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