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Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics

In order to rapidly identify the phenotypic profile and possible off-target liability effects of novel synthesized thyromimetics for selection of lead compounds for further optimization studies, we performed in vitro screening on a new small library of synthetic thyromimetics. A comprehensive panel...

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Autores principales: Runfola, Massimiliano, Sestito, Simona, Gul, Sheraz, Chiellini, Grazia, Rapposelli, Simona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015999/
https://www.ncbi.nlm.nih.gov/pubmed/32071982
http://dx.doi.org/10.1016/j.dib.2020.105206
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author Runfola, Massimiliano
Sestito, Simona
Gul, Sheraz
Chiellini, Grazia
Rapposelli, Simona
author_facet Runfola, Massimiliano
Sestito, Simona
Gul, Sheraz
Chiellini, Grazia
Rapposelli, Simona
author_sort Runfola, Massimiliano
collection PubMed
description In order to rapidly identify the phenotypic profile and possible off-target liability effects of novel synthesized thyromimetics for selection of lead compounds for further optimization studies, we performed in vitro screening on a new small library of synthetic thyromimetics. A comprehensive panel of early toxicity assays comprising cytotoxicity on 4 different cell lines (osteosarcoma, U2OS; lung fibroblast, hTERT; human breast adenocarcinoma, MCF7; human embryonic kidney, HEK293), hERG liability, cytochrome P450 inhibition (CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4 isoforms), and off-target liability against selected proteins (Aurora B kinase and phosphodiesterase PDE4C1) and epigenetic enzymes (HDAC4, HDAC6, HDAC8, HDAC9 & SIRT7). All the compounds were screened at 10 μM in at least triplicate using well-established in vitro assays with readouts in luminescence or fluorescence polarization mode. The raw data were processed using Microsoft Excel and the Z′ for each assay was calculated (acceptable Z' >0.40). The processed and normalized data were organized in tables and visualized using spider plots. The results which are reported in the present manuscript can be used in prediction studies of early toxicity and off-target liabilities of other thyromimetics using in silico methods. The data reported herein support our research article entitled “Design, synthesis and biological evaluation of novel TRβ selective agonists sustained by ADME-Toxicity analysis” by Runfola M., Sestito S., et al. [1]
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spelling pubmed-70159992020-02-18 Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics Runfola, Massimiliano Sestito, Simona Gul, Sheraz Chiellini, Grazia Rapposelli, Simona Data Brief Pharmacology, Toxicology and Pharmaceutical Science In order to rapidly identify the phenotypic profile and possible off-target liability effects of novel synthesized thyromimetics for selection of lead compounds for further optimization studies, we performed in vitro screening on a new small library of synthetic thyromimetics. A comprehensive panel of early toxicity assays comprising cytotoxicity on 4 different cell lines (osteosarcoma, U2OS; lung fibroblast, hTERT; human breast adenocarcinoma, MCF7; human embryonic kidney, HEK293), hERG liability, cytochrome P450 inhibition (CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4 isoforms), and off-target liability against selected proteins (Aurora B kinase and phosphodiesterase PDE4C1) and epigenetic enzymes (HDAC4, HDAC6, HDAC8, HDAC9 & SIRT7). All the compounds were screened at 10 μM in at least triplicate using well-established in vitro assays with readouts in luminescence or fluorescence polarization mode. The raw data were processed using Microsoft Excel and the Z′ for each assay was calculated (acceptable Z' >0.40). The processed and normalized data were organized in tables and visualized using spider plots. The results which are reported in the present manuscript can be used in prediction studies of early toxicity and off-target liabilities of other thyromimetics using in silico methods. The data reported herein support our research article entitled “Design, synthesis and biological evaluation of novel TRβ selective agonists sustained by ADME-Toxicity analysis” by Runfola M., Sestito S., et al. [1] Elsevier 2020-01-31 /pmc/articles/PMC7015999/ /pubmed/32071982 http://dx.doi.org/10.1016/j.dib.2020.105206 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Pharmacology, Toxicology and Pharmaceutical Science
Runfola, Massimiliano
Sestito, Simona
Gul, Sheraz
Chiellini, Grazia
Rapposelli, Simona
Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title_full Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title_fullStr Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title_full_unstemmed Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title_short Collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
title_sort collecting data through high throughput in vitro early toxicity and off-target liability assays to rapidly identify limitations of novel thyromimetics
topic Pharmacology, Toxicology and Pharmaceutical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015999/
https://www.ncbi.nlm.nih.gov/pubmed/32071982
http://dx.doi.org/10.1016/j.dib.2020.105206
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