Frontiers in Immunology (Feb 2022)

AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays

  • Phil Palmer,
  • Joanne Marie M. Del Rosario,
  • Joanne Marie M. Del Rosario,
  • Kelly A. S. da Costa,
  • George W. Carnell,
  • Chloe Q. Huang,
  • Jonathan L. Heeney,
  • Jonathan L. Heeney,
  • Nigel J. Temperton,
  • David A. Wells

DOI
https://doi.org/10.3389/fimmu.2021.681636
Journal volume & issue
Vol. 12

Abstract

Read online

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