Time to revisit the endpoint dilution assay and to replace the TCID50 as a measure of a virus sample’s infection concentration

Author:

Cresta DanielORCID,Warren Donald C.ORCID,Quirouette ChristianORCID,Smith Amanda P.ORCID,Lane Lindey C.ORCID,Smith Amber M.ORCID,Beauchemin Catherine A. A.ORCID

Abstract

The endpoint dilution assay’s output, the 50% infectious dose (ID50), is calculated using the Reed-Muench or Spearman-Kärber mathematical approximations, which are biased and often miscalculated. We introduce a replacement for the ID50 that we call Specific INfection (SIN) along with a free and open-source web-application, midSIN (https://midsin.physics.ryerson.ca) to calculate it. midSIN computes a virus sample’s SIN concentration using Bayesian inference based on the results of a standard endpoint dilution assay, and requires no changes to current experimental protocols. We analyzed influenza and respiratory syncytial virus samples using midSIN and demonstrated that the SIN/mL reliably corresponds to the number of infections a sample will cause per mL. It can therefore be used directly to achieve a desired multiplicity of infection, similarly to how plaque or focus forming units (PFU, FFU) are used. midSIN’s estimates are shown to be more accurate and robust than the Reed-Muench and Spearman-Kärber approximations. The impact of endpoint dilution plate design choices (dilution factor, replicates per dilution) on measurement accuracy is also explored. The simplicity of SIN as a measure and the greater accuracy provided by midSIN make them an easy and superior replacement for the TCID50 and other in vitro culture ID50 measures. We hope to see their universal adoption to measure the infectivity of virus samples.

Funder

Natural Sciences and Engineering Research Council of Canada

Ontario Ministry of Research, Innovation and Science

Interdisciplinary Theoretical and Mathematical Sciences

National Institute of Allergy and Infectious Diseases

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics

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5. Monte Carlo simulation of the Spearman-Kaerber TCID50;NH Wulff;J Clin Bioinforma,2012

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