Literature DB >> 27122658

Intersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspective.

B Alex Merrick1, Richard S Paules1, Raymond R Tice1.   

Abstract

Humans are exposed to thousands of chemicals with inadequate toxicological data. Advances in computational toxicology, robotic high throughput screening (HTS), and genome-wide expression have been integrated into the Tox21 program to better predict the toxicological effects of chemicals. Tox21 is a collaboration among US government agencies initiated in 2008 that aims to shift chemical hazard assessment from traditional animal toxicology to target-specific, mechanism-based, biological observations using in vitro assays and lower organism models. HTS uses biocomputational methods for probing thousands of chemicals in in vitro assays for gene-pathway response patterns predictive of adverse human health outcomes. In 1999, NIEHS began exploring the application of toxicogenomics to toxicology and recent advances in NextGen sequencing should greatly enhance the biological content obtained from HTS platforms. We foresee an intersection of new technologies in toxicogenomics and HTS as an innovative development in Tox21. Tox21 goals, priorities, progress, and challenges will be reviewed.

Entities:  

Keywords:  NextGen sequencing; Tox21; high throughput screening; in vitro; pathways; robotics; toxicogenomics; toxicology

Year:  2015        PMID: 27122658      PMCID: PMC4844067          DOI: 10.1504/IJBT.2015.074797

Source DB:  PubMed          Journal:  Int J Biotechnol        ISSN: 0963-6048


  38 in total

1.  The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.

Authors:  Charles Wang; Binsheng Gong; Pierre R Bushel; Jean Thierry-Mieg; Danielle Thierry-Mieg; Joshua Xu; Hong Fang; Huixiao Hong; Jie Shen; Zhenqiang Su; Joe Meehan; Xiaojin Li; Lu Yang; Haiqing Li; Paweł P Łabaj; David P Kreil; Dalila Megherbi; Stan Gaj; Florian Caiment; Joost van Delft; Jos Kleinjans; Andreas Scherer; Viswanath Devanarayan; Jian Wang; Yong Yang; Hui-Rong Qian; Lee J Lancashire; Marina Bessarabova; Yuri Nikolsky; Cesare Furlanello; Marco Chierici; Davide Albanese; Giuseppe Jurman; Samantha Riccadonna; Michele Filosi; Roberto Visintainer; Ke K Zhang; Jianying Li; Jui-Hua Hsieh; Daniel L Svoboda; James C Fuscoe; Youping Deng; Leming Shi; Richard S Paules; Scott S Auerbach; Weida Tong
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

2.  Bridging chemical and biological space: "target fishing" using 2D and 3D molecular descriptors.

Authors:  James H Nettles; Jeremy L Jenkins; Andreas Bender; Zhan Deng; John W Davies; Meir Glick
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

Review 3.  Current status and future prospects of toxicogenomics in drug discovery.

Authors:  Saifur R Khan; Argishti Baghdasarian; Richard P Fahlman; Karim Michail; Arno G Siraki
Journal:  Drug Discov Today       Date:  2013-11-08       Impact factor: 7.851

4.  Long-term maintenance of HepaRG cells in serum-free conditions and application in a repeated dose study.

Authors:  Sebastian Klein; Daniel Mueller; Valery Schevchenko; Fozia Noor
Journal:  J Appl Toxicol       Date:  2013-09-30       Impact factor: 3.446

5.  A high-throughput method for assessing chemical toxicity using a Caenorhabditis elegans reproduction assay.

Authors:  Windy A Boyd; Sandra J McBride; Julie R Rice; Daniel W Snyder; Jonathan H Freedman
Journal:  Toxicol Appl Pharmacol       Date:  2010-03-04       Impact factor: 4.219

6.  Improved rat genome gene prediction by integration of ESTs with RNA-Seq information.

Authors:  Liping Li; Enguo Chen; Chun Yang; Jun Zhu; Pushkala Jayaraman; Jeffrey De Pons; Catherine C Kaczorowski; Howard J Jacob; Andrew S Greene; Matthew R Hodges; Allen W Cowley; Mingyu Liang; Haiming Xu; Pengyuan Liu; Yan Lu
Journal:  Bioinformatics       Date:  2014-09-12       Impact factor: 6.937

Review 7.  Toxicogenomics and cancer susceptibility: advances with next-generation sequencing.

Authors:  Baitang Ning; Zhenqiang Su; Nan Mei; Huixiao Hong; Helen Deng; Leming Shi; James C Fuscoe; William H Tolleson
Journal:  J Environ Sci Health C Environ Carcinog Ecotoxicol Rev       Date:  2014       Impact factor: 3.781

8.  Developmental toxicity assay using high content screening of zebrafish embryos.

Authors:  Susan Lantz-McPeak; Xiaoqing Guo; Elvis Cuevas; Melanie Dumas; Glenn D Newport; Syed F Ali; Merle G Paule; Jyotshna Kanungo
Journal:  J Appl Toxicol       Date:  2014-05-28       Impact factor: 3.446

Review 9.  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

10.  Multidimensional in vivo hazard assessment using zebrafish.

Authors:  Lisa Truong; David M Reif; Lindsey St Mary; Mitra C Geier; Hao D Truong; Robert L Tanguay
Journal:  Toxicol Sci       Date:  2013-10-17       Impact factor: 4.849

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  13 in total

Review 1.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

Review 2.  Opportunities and challenges in phenotypic drug discovery: an industry perspective.

Authors:  John G Moffat; Fabien Vincent; Jonathan A Lee; Jörg Eder; Marco Prunotto
Journal:  Nat Rev Drug Discov       Date:  2017-07-07       Impact factor: 84.694

3.  The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology.

Authors:  Ann M Richard; Ruili Huang; Suramya Waidyanatha; Paul Shinn; Bradley J Collins; Inthirany Thillainadarajah; Christopher M Grulke; Antony J Williams; Ryan R Lougee; Richard S Judson; Keith A Houck; Mahmoud Shobair; Chihae Yang; James F Rathman; Adam Yasgar; Suzanne C Fitzpatrick; Anton Simeonov; Russell S Thomas; Kevin M Crofton; Richard S Paules; John R Bucher; Christopher P Austin; Robert J Kavlock; Raymond R Tice
Journal:  Chem Res Toxicol       Date:  2020-11-03       Impact factor: 3.739

4.  Development of a Zebrafish S1500+ Sentinel Gene Set for High-Throughput Transcriptomics.

Authors:  Michele R Balik-Meisner; Deepak Mav; Dhiral P Phadke; Logan J Everett; Ruchir R Shah; Tamara Tal; Peter J Shepard; B Alex Merrick; Richard S Paules
Journal:  Zebrafish       Date:  2019-06-12       Impact factor: 1.985

5.  Ontology-based semantic mapping of chemical toxicities.

Authors:  Rong-Lin Wang; Stephen Edwards; Cataia Ives
Journal:  Toxicology       Date:  2018-11-20       Impact factor: 4.221

6.  Next generation sequencing data for use in risk assessment.

Authors:  B Alex Merrick
Journal:  Curr Opin Toxicol       Date:  2019-03-08

7.  High-Content Image-Based Single-Cell Phenotypic Analysis for the Testicular Toxicity Prediction Induced by Bisphenol A and Its Analogs Bisphenol S, Bisphenol AF, and Tetrabromobisphenol A in a Three-Dimensional Testicular Cell Co-culture Model.

Authors:  Lei Yin; Jacob Steven Siracusa; Emily Measel; Xueling Guan; Clayton Edenfield; Shenxuan Liang; Xiaozhong Yu
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

8.  Deep Learning Image Analysis of High-Throughput Toxicology Assay Images.

Authors:  Arpit Tandon; Brian Howard; Sreenivasa Ramaiahgari; Adyasha Maharana; Stephen Ferguson; Ruchir Shah; B Alex Merrick
Journal:  SLAS Discov       Date:  2021-10-27       Impact factor: 2.918

9.  Transcriptomic responses in the oral cavity of F344 rats and B6C3F1 mice following exposure to Cr(VI): Implications for risk assessment.

Authors:  Chad M Thompson; Julia E Rager; Mina Suh; Caroline L Ring; Deborah M Proctor; Laurie C Haws; Rebecca C Fry; Mark A Harris
Journal:  Environ Mol Mutagen       Date:  2016-11-15       Impact factor: 3.216

10.  The Power of Resolution: Contextualized Understanding of Biological Responses to Liver Injury Chemicals Using High-throughput Transcriptomics and Benchmark Concentration Modeling.

Authors:  Sreenivasa C Ramaiahgari; Scott S Auerbach; Trey O Saddler; Julie R Rice; Paul E Dunlap; Nisha S Sipes; Michael J DeVito; Ruchir R Shah; Pierre R Bushel; Bruce A Merrick; Richard S Paules; Stephen S Ferguson
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

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