Literature DB >> 31501805

Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

Joshua Harrill1, Imran Shah1, R Woodrow Setzer1, Derik Haggard2, Scott Auerbach3, Richard Judson1, Russell S Thomas1.   

Abstract

Recently, numerous organizations, including governmental regulatory agencies in the U.S. and abroad, have proposed using data from New Approach Methodologies (NAMs) for augmenting and increasing the pace of chemical assessments. NAMs are broadly defined as any technology, methodology, approach or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. High-throughput transcriptomics (HTTr) is a type of NAM that uses gene expression profiling as an endpoint for rapidly evaluating the effects of large numbers of chemicals on in vitro cell culture systems. As compared to targeted high-throughput screening (HTS) approaches that measure the effect of chemical X on target Y, HTTr is a non-targeted approach that allows researchers to more broadly characterize the integrated response of an intact biological system to chemicals that may affect a specific biological target or many biological targets under a defined set of treatment conditions (time, concentration, etc.). HTTr screening performed in concentration-response mode can provide potency estimates for the concentrations of chemicals that produce perturbations in cellular response pathways. Here, we discuss study design considerations for HTTr concentration-response screening and present a framework for the use of HTTr-based biological pathway-altering concentrations (BPACs) in a screening-level, risk-based chemical prioritization approach. The framework involves concentration-response modeling of HTTr data, mapping gene level responses to biological pathways, determination of BPACs, in vitro-to-in vivo extrapolation (IVIVE) and comparison to human exposure predictions.

Entities:  

Year:  2019        PMID: 31501805      PMCID: PMC6733036          DOI: 10.1016/j.cotox.2019.05.004

Source DB:  PubMed          Journal:  Curr Opin Toxicol        ISSN: 2468-2020


  77 in total

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Journal:  Toxicol Sci       Date:  2002-04       Impact factor: 4.849

Review 3.  The benchmark dose method--review of available models, and recommendations for application in health risk assessment.

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Authors:  Leming Shi; Laura H Reid; Wendell D Jones; Richard Shippy; Janet A Warrington; Shawn C Baker; Patrick J Collins; Francoise de Longueville; Ernest S Kawasaki; Kathleen Y Lee; Yuling Luo; Yongming Andrew Sun; James C Willey; Robert A Setterquist; Gavin M Fischer; Weida Tong; Yvonne P Dragan; David J Dix; Felix W Frueh; Frederico M Goodsaid; Damir Herman; Roderick V Jensen; Charles D Johnson; Edward K Lobenhofer; Raj K Puri; Uwe Schrf; Jean Thierry-Mieg; Charles Wang; Mike Wilson; Paul K Wolber; Lu Zhang; Shashi Amur; Wenjun Bao; Catalin C Barbacioru; Anne Bergstrom Lucas; Vincent Bertholet; Cecilie Boysen; Bud Bromley; Donna Brown; Alan Brunner; Roger Canales; Xiaoxi Megan Cao; Thomas A Cebula; James J Chen; Jing Cheng; Tzu-Ming Chu; Eugene Chudin; John Corson; J Christopher Corton; Lisa J Croner; Christopher Davies; Timothy S Davison; Glenda Delenstarr; Xutao Deng; David Dorris; Aron C Eklund; Xiao-hui Fan; Hong Fang; Stephanie Fulmer-Smentek; James C Fuscoe; Kathryn Gallagher; Weigong Ge; Lei Guo; Xu Guo; Janet Hager; Paul K Haje; Jing Han; Tao Han; Heather C Harbottle; Stephen C Harris; Eli Hatchwell; Craig A Hauser; Susan Hester; Huixiao Hong; Patrick Hurban; Scott A Jackson; Hanlee Ji; Charles R Knight; Winston P Kuo; J Eugene LeClerc; Shawn Levy; Quan-Zhen Li; Chunmei Liu; Ying Liu; Michael J Lombardi; Yunqing Ma; Scott R Magnuson; Botoul Maqsodi; Tim McDaniel; Nan Mei; Ola Myklebost; Baitang Ning; Natalia Novoradovskaya; Michael S Orr; Terry W Osborn; Adam Papallo; Tucker A Patterson; Roger G Perkins; Elizabeth H Peters; Ron Peterson; Kenneth L Philips; P Scott Pine; Lajos Pusztai; Feng Qian; Hongzu Ren; Mitch Rosen; Barry A Rosenzweig; Raymond R Samaha; Mark Schena; Gary P Schroth; Svetlana Shchegrova; Dave D Smith; Frank Staedtler; Zhenqiang Su; Hongmei Sun; Zoltan Szallasi; Zivana Tezak; Danielle Thierry-Mieg; Karol L Thompson; Irina Tikhonova; Yaron Turpaz; Beena Vallanat; Christophe Van; Stephen J Walker; Sue Jane Wang; Yonghong Wang; Russ Wolfinger; Alex Wong; Jie Wu; Chunlin Xiao; Qian Xie; Jun Xu; Wen Yang; Liang Zhang; Sheng Zhong; Yaping Zong; William Slikker
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6.  Improved toxicogenomic screening for drug-induced phospholipidosis using a multiplexed quantitative gene expression ArrayPlate assay.

Authors:  Hiroshi Sawada; Keiko Taniguchi; Kenji Takami
Journal:  Toxicol In Vitro       Date:  2006-06-03       Impact factor: 3.500

7.  The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

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Journal:  Science       Date:  2006-09-29       Impact factor: 47.728

8.  A method to integrate benchmark dose estimates with genomic data to assess the functional effects of chemical exposure.

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9.  A comparison of assay performance measures in screening assays: signal window, Z' factor, and assay variability ratio.

Authors:  Philip W Iversen; Brian J Eastwood; G Sitta Sittampalam; Karen L Cox
Journal:  J Biomol Screen       Date:  2006-02-20

10.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

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2.  Implementing in vitro bioactivity data to modernize priority setting of chemical inventories.

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3.  Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology.

Authors:  Joshua A Harrill; Mark R Viant; Carole L Yauk; Magdalini Sachana; Timothy W Gant; Scott S Auerbach; Richard D Beger; Mounir Bouhifd; Jason O'Brien; Lyle Burgoon; Florian Caiment; Donatella Carpi; Tao Chen; Brian N Chorley; John Colbourne; Raffaella Corvi; Laurent Debrauwer; Claire O'Donovan; Timothy M D Ebbels; Drew R Ekman; Frank Faulhammer; Laura Gribaldo; Gina M Hilton; Stephanie P Jones; Aniko Kende; Thomas N Lawson; Sofia B Leite; Pim E G Leonards; Mirjam Luijten; Alberto Martin; Laura Moussa; Serge Rudaz; Oliver Schmitz; Tomasz Sobanski; Volker Strauss; Monica Vaccari; Vikrant Vijay; Ralf J M Weber; Antony J Williams; Andrew Williams; Russell S Thomas; Maurice Whelan
Journal:  Regul Toxicol Pharmacol       Date:  2021-07-29       Impact factor: 3.598

4.  Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data.

Authors:  Johanna Nyffeler; Derik E Haggard; Clinton Willis; R Woodrow Setzer; Richard Judson; Katie Paul-Friedman; Logan J Everett; Joshua A Harrill
Journal:  SLAS Discov       Date:  2020-08-29       Impact factor: 3.341

5.  High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures.

Authors:  Jill A Franzosa; Jessica A Bonzo; John Jack; Nancy C Baker; Parth Kothiya; Rafal P Witek; Patrick Hurban; Stephen Siferd; Susan Hester; Imran Shah; Stephen S Ferguson; Keith A Houck; John F Wambaugh
Journal:  NPJ Syst Biol Appl       Date:  2021-01-27

6.  Rapid hazard characterization of environmental chemicals using a compendium of human cell lines from different organs

Authors:  Zunwei Chen; Yizhong Liu; Fred A Wright; Weihsueh A Chiu; Ivan Rusyn
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7.  Navigating the Minefield of Computational Toxicology and Informatics: Looking Back and Charting a New Horizon.

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Journal:  Front Toxicol       Date:  2020-06-25

8.  Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Ivan Rusyn; Fred A Wright
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9.  Drivers of and Obstacles to the Adoption of Toxicogenomics for Chemical Risk Assessment: Insights from Social Science Perspectives.

Authors:  Guillaume Pain; Gordon Hickey; Matthieu Mondou; Doug Crump; Markus Hecker; Niladri Basu; Steven Maguire
Journal:  Environ Health Perspect       Date:  2020-10-28       Impact factor: 9.031

10.  Automated Sample Preparation and Data Collection Workflow for High-Throughput In Vitro Metabolomics.

Authors:  Julia M Malinowska; Taina Palosaari; Jukka Sund; Donatella Carpi; Gavin R Lloyd; Ralf J M Weber; Maurice Whelan; Mark R Viant
Journal:  Metabolites       Date:  2022-01-08
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