Literature DB >> 20708096

The future of toxicity testing: a focus on in vitro methods using a quantitative high-throughput screening platform.

Sunita J Shukla1, Ruili Huang, Christopher P Austin, Menghang Xia.   

Abstract

The US Tox21 collaborative program represents a paradigm shift in toxicity testing of chemical compounds from traditional in vivo tests to less expensive and higher throughput in vitro methods to prioritize compounds for further study, identify mechanisms of action and ultimately develop predictive models for adverse health effects in humans. The NIH Chemical Genomics Center (NCGC) is an integral component of the Tox21 collaboration owing to its quantitative high-throughput screening (qHTS) paradigm, in which titration-based screening is used to profile hundreds of thousands of compounds per week. Here, we describe the Tox21 collaboration, qHTS-based compound testing and the various Tox21 screening assays that have been validated and tested at the NCGC to date. Published by Elsevier Ltd.

Entities:  

Mesh:

Year:  2010        PMID: 20708096      PMCID: PMC2994991          DOI: 10.1016/j.drudis.2010.07.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  52 in total

1.  A high-throughput screen for aggregation-based inhibition in a large compound library.

Authors:  Brian Y Feng; Anton Simeonov; Ajit Jadhav; Kerim Babaoglu; James Inglese; Brian K Shoichet; Christopher P Austin
Journal:  J Med Chem       Date:  2007-04-21       Impact factor: 7.446

2.  Toxicology. Transforming environmental health protection.

Authors:  Francis S Collins; George M Gray; John R Bucher
Journal:  Science       Date:  2008-02-15       Impact factor: 47.728

3.  Bringing toxicology into the 21st century: a global call to action.

Authors:  T Seidle; M L Stephens
Journal:  Toxicol In Vitro       Date:  2009-06-18       Impact factor: 3.500

4.  Compound Management for Quantitative High-Throughput Screening.

Authors:  Adam Yasgar; Paul Shinn; Ajit Jadhav; Douglas Auld; Sam Michael; Wei Zheng; Christopher P Austin; James Inglese; Anton Simeonov
Journal:  JALA Charlottesv Va       Date:  2008-04

5.  A quantitative high-throughput screen for modulators of IL-6 signaling: a model for interrogating biological networks using chemical libraries.

Authors:  Ronald L Johnson; Ruili Huang; Ajit Jadhav; Noel Southall; Jennifer Wichterman; Ryan MacArthur; Menghang Xia; Kun Bi; John Printen; Christopher P Austin; James Inglese
Journal:  Mol Biosyst       Date:  2009-06-19

6.  Hypoxia response: a model toxicity pathway for high-throughput screening.

Authors:  Steven O Simmons
Journal:  Toxicol Sci       Date:  2009-09-03       Impact factor: 4.849

7.  Presentation of receiver-operating characteristics (ROC) plots.

Authors:  F Schoonjans; C Depuydt; F Comhaire
Journal:  Clin Chem       Date:  1996-06       Impact factor: 8.327

Review 8.  Safety of non-antiarrhythmic drugs that prolong the QT interval or induce torsade de pointes: an overview.

Authors:  Fabrizio De Ponti; Elisabetta Poluzzi; Andrea Cavalli; Maurizio Recanatini; Nicola Montanaro
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

Review 9.  Toxicity testing in the 21st century: bringing the vision to life.

Authors:  Melvin E Andersen; Daniel Krewski
Journal:  Toxicol Sci       Date:  2008-12-12       Impact factor: 4.849

Review 10.  The pilot phase of the NIH Chemical Genomics Center.

Authors:  Craig J Thomas; Douglas S Auld; Ruili Huang; Wenwei Huang; Ajit Jadhav; Ronald L Johnson; William Leister; David J Maloney; Juan J Marugan; Sam Michael; Anton Simeonov; Noel Southall; Menghang Xia; Wei Zheng; James Inglese; Christopher P Austin
Journal:  Curr Top Med Chem       Date:  2009       Impact factor: 3.295

View more
  77 in total

1.  Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Authors:  Ivan Rusyn; Alexander Sedykh; Yen Low; Kathryn Z Guyton; Alexander Tropsha
Journal:  Toxicol Sci       Date:  2012-03-02       Impact factor: 4.849

Review 2.  Obesogens, stem cells and the developmental programming of obesity.

Authors:  A Janesick; B Blumberg
Journal:  Int J Androl       Date:  2012-02-28

3.  A multiparametric organ toxicity predictor for drug discovery.

Authors:  Chirag N Patel; Sivakumar Prasanth Kumar; Rakesh M Rawal; Daxesh P Patel; Frank J Gonzalez; Himanshu A Pandya
Journal:  Toxicol Mech Methods       Date:  2019-10-29       Impact factor: 2.987

4.  Reengineering translational science: the time is right.

Authors:  Francis S Collins
Journal:  Sci Transl Med       Date:  2011-07-06       Impact factor: 17.956

5.  A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols.

Authors:  Prachi Pradeep; Kamel Mansouri; Grace Patlewicz; Richard Judson
Journal:  Comput Toxicol       Date:  2017-11-01

6.  The advantages of linear concentration-response curves for in vitro bioassays with environmental samples.

Authors:  Beate I Escher; Peta A Neale; Daniel L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2018-07-11       Impact factor: 3.742

7.  Assessment of compound hepatotoxicity using human plateable cryopreserved hepatocytes in a 1536-well-plate format.

Authors:  Timothy A Moeller; Sunita J Shukla; Menghang Xia
Journal:  Assay Drug Dev Technol       Date:  2011-11-04       Impact factor: 1.738

8.  Prediction of hERG Liability - Using SVM Classification, Bootstrapping and Jackknifing.

Authors:  Hongmao Sun; Ruili Huang; Menghang Xia; Sampada Shahane; Noel Southall; Yuhong Wang
Journal:  Mol Inform       Date:  2016-12-21       Impact factor: 3.353

9.  Mapping Proteome-Wide Targets of Environmental Chemicals Using Reactivity-Based Chemoproteomic Platforms.

Authors:  Daniel Medina-Cleghorn; Leslie A Bateman; Breanna Ford; Ann Heslin; Karl J Fisher; Esha D Dalvie; Daniel K Nomura
Journal:  Chem Biol       Date:  2015-10-22

10.  Perspectives on validation of high-throughput assays supporting 21st century toxicity testing.

Authors:  Richard Judson; Robert Kavlock; Matthew Martin; David Reif; Keith Houck; Thomas Knudsen; Ann Richard; Raymond R Tice; Maurice Whelan; Menghang Xia; Ruili Huang; Christopher Austin; George Daston; Thomas Hartung; John R Fowle; William Wooge; Weida Tong; David Dix
Journal:  ALTEX       Date:  2013       Impact factor: 6.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.