An unbiased metric of antiproliferative drug effect in vitro

In vitro cell proliferation assays are widely used in pharmacology, molecular biology, and drug discovery. Using theoretical modeling and experimentation, we show that current antiproliferative drug effect metrics suffer from time-dependent bias, leading to inaccurate assessments of parameters such...

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Autores principales: Harris, Leonard A., Frick, Peter L., Garbett, Shawn P., Hardeman, Keisha N., Paudel, B. Bishal, Lopez, Carlos F., Quaranta, Vito, Tyson, Darren R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887341/
https://www.ncbi.nlm.nih.gov/pubmed/27135974
http://dx.doi.org/10.1038/nmeth.3852
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author Harris, Leonard A.
Frick, Peter L.
Garbett, Shawn P.
Hardeman, Keisha N.
Paudel, B. Bishal
Lopez, Carlos F.
Quaranta, Vito
Tyson, Darren R.
author_facet Harris, Leonard A.
Frick, Peter L.
Garbett, Shawn P.
Hardeman, Keisha N.
Paudel, B. Bishal
Lopez, Carlos F.
Quaranta, Vito
Tyson, Darren R.
author_sort Harris, Leonard A.
collection PubMed
description In vitro cell proliferation assays are widely used in pharmacology, molecular biology, and drug discovery. Using theoretical modeling and experimentation, we show that current antiproliferative drug effect metrics suffer from time-dependent bias, leading to inaccurate assessments of parameters such as drug potency and efficacy. We propose the drug-induced proliferation (DIP) rate, the slope of the line on a plot of cell population doublings versus time, as an alternative, time-independent metric.
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spelling pubmed-48873412016-11-02 An unbiased metric of antiproliferative drug effect in vitro Harris, Leonard A. Frick, Peter L. Garbett, Shawn P. Hardeman, Keisha N. Paudel, B. Bishal Lopez, Carlos F. Quaranta, Vito Tyson, Darren R. Nat Methods Article In vitro cell proliferation assays are widely used in pharmacology, molecular biology, and drug discovery. Using theoretical modeling and experimentation, we show that current antiproliferative drug effect metrics suffer from time-dependent bias, leading to inaccurate assessments of parameters such as drug potency and efficacy. We propose the drug-induced proliferation (DIP) rate, the slope of the line on a plot of cell population doublings versus time, as an alternative, time-independent metric. 2016-05-02 2016-06 /pmc/articles/PMC4887341/ /pubmed/27135974 http://dx.doi.org/10.1038/nmeth.3852 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Harris, Leonard A.
Frick, Peter L.
Garbett, Shawn P.
Hardeman, Keisha N.
Paudel, B. Bishal
Lopez, Carlos F.
Quaranta, Vito
Tyson, Darren R.
An unbiased metric of antiproliferative drug effect in vitro
title An unbiased metric of antiproliferative drug effect in vitro
title_full An unbiased metric of antiproliferative drug effect in vitro
title_fullStr An unbiased metric of antiproliferative drug effect in vitro
title_full_unstemmed An unbiased metric of antiproliferative drug effect in vitro
title_short An unbiased metric of antiproliferative drug effect in vitro
title_sort unbiased metric of antiproliferative drug effect in vitro
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887341/
https://www.ncbi.nlm.nih.gov/pubmed/27135974
http://dx.doi.org/10.1038/nmeth.3852
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