Literature DB >> 27518629

A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling.

Ruili Huang1.   

Abstract

The US Tox21 program has developed in vitro assays to test large collections of environmental chemicals in a quantitative high-throughput screening (qHTS) format, using triplicate 15-dose titrations to generate over 50 million data points to date. Counter screens are also employed to minimize interferences from non-target-specific assay artifacts, such as compound auto fluorescence and cytotoxicity. New data analysis approaches are needed to integrate these data and characterize the activities observed from these assays. Here, we describe a complete analysis pipeline that evaluates these qHTS data for technical quality in terms of signal reproducibility. We integrate signals from repeated assay runs, primary readouts, and counter screens to produce a final call on on-target compound activity.

Entities:  

Keywords:  Activity profile; Concentration response; HTS; In vitro assay; Tox21

Mesh:

Substances:

Year:  2016        PMID: 27518629     DOI: 10.1007/978-1-4939-6346-1_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  17 in total

1.  Use of high-throughput enzyme-based assay with xenobiotic metabolic capability to evaluate the inhibition of acetylcholinesterase activity by organophosphorous pesticides.

Authors:  Shuaizhang Li; Jinghua Zhao; Ruili Huang; Michael F Santillo; Keith A Houck; Menghang Xia
Journal:  Toxicol In Vitro       Date:  2019-01-06       Impact factor: 3.500

Review 2.  Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling.

Authors:  Linlin Zhao; Heather L Ciallella; Lauren M Aleksunes; Hao Zhu
Journal:  Drug Discov Today       Date:  2020-07-11       Impact factor: 7.851

3.  Identification and Profiling of Environmental Chemicals That Inhibit the TGFβ/SMAD Signaling Pathway.

Authors:  Zhengxi Wei; Srilatha Sakamuru; Li Zhang; Jinghua Zhao; Ruili Huang; Nicole C Kleinstreuer; Yanling Chen; Yan Shu; Thomas B Knudsen; Menghang Xia
Journal:  Chem Res Toxicol       Date:  2019-11-11       Impact factor: 3.739

4.  Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons.

Authors:  Shuaizhang Li; Li Zhang; Ruili Huang; Tuan Xu; Fred Parham; Mamta Behl; Menghang Xia
Journal:  Neurotoxicology       Date:  2021-01-27       Impact factor: 4.398

5.  Systematic Identification of Molecular Targets and Pathways Related to Human Organ Level Toxicity.

Authors:  Tuan Xu; Leihong Wu; Menghang Xia; Anton Simeonov; Ruili Huang
Journal:  Chem Res Toxicol       Date:  2020-11-29       Impact factor: 3.973

6.  Characterization of human pregnane X receptor activators identified from a screening of the Tox21 compound library.

Authors:  Caitlin Lynch; Srilatha Sakamuru; Ruili Huang; Jake Niebler; Stephen S Ferguson; Menghang Xia
Journal:  Biochem Pharmacol       Date:  2020-12-14       Impact factor: 6.100

7.  An Integrated Chemical Environment to Support 21st-Century Toxicology.

Authors:  Shannon M Bell; Jason Phillips; Alexander Sedykh; Arpit Tandon; Catherine Sprankle; Stephen Q Morefield; Andy Shapiro; David Allen; Ruchir Shah; Elizabeth A Maull; Warren M Casey; Nicole C Kleinstreuer
Journal:  Environ Health Perspect       Date:  2017-05-25       Impact factor: 9.031

8.  Comprehensive Analyses and Prioritization of Tox21 10K Chemicals Affecting Mitochondrial Function by in-Depth Mechanistic Studies.

Authors:  Menghang Xia; Ruili Huang; Qiang Shi; Windy A Boyd; Jinghua Zhao; Nuo Sun; Julie R Rice; Paul E Dunlap; Amber J Hackstadt; Matt F Bridge; Marjolein V Smith; Sheng Dai; Wei Zheng; Pei-Hsuan Chu; David Gerhold; Kristine L Witt; Michael DeVito; Jonathan H Freedman; Christopher P Austin; Keith A Houck; Russell S Thomas; Richard S Paules; Raymond R Tice; Anton Simeonov
Journal:  Environ Health Perspect       Date:  2018-07-26       Impact factor: 9.031

Review 9.  High-throughput screening assays for SARS-CoV-2 drug development: current status and future directions.

Authors:  Tuan Xu; Wei Zheng; Ruili Huang
Journal:  Drug Discov Today       Date:  2021-05-25       Impact factor: 7.851

10.  Predictive Models to Identify Small Molecule Activators and Inhibitors of Opioid Receptors.

Authors:  Srilatha Sakamuru; Jinghua Zhao; Menghang Xia; Huixiao Hong; Anton Simeonov; Iosif Vaisman; Ruili Huang
Journal:  J Chem Inf Model       Date:  2021-05-28       Impact factor: 6.162

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