Literature DB >> 23682706

Real-time growth kinetics measuring hormone mimicry for ToxCast chemicals in T-47D human ductal carcinoma cells.

Daniel M Rotroff1, David J Dix, Keith A Houck, Robert J Kavlock, Thomas B Knudsen, Matthew T Martin, David M Reif, Ann M Richard, Nisha S Sipes, Yama A Abassi, Can Jin, Melinda Stampfl, Richard S Judson.   

Abstract

High-throughput screening (HTS) assays capable of profiling thousands of environmentally relevant chemicals for in vitro biological activity provide useful information on the potential for disrupting endocrine pathways. Disruption of the estrogen signaling pathway has been implicated in a variety of adverse health effects including impaired development, reproduction, and carcinogenesis. The estrogen-responsive human mammary ductal carcinoma cell line T-47D was exposed to 1815 ToxCast chemicals comprising pesticides, industrial chemicals, pharmaceuticals, personal care products, cosmetics, food ingredients, and other chemicals with known or suspected human exposure potential. Cell growth kinetics were evaluated using real-time cell electronic sensing. T-47D cells were exposed to eight concentrations (0.006-100 μM), and measurements of cellular impedance were repeatedly recorded for 105 h. Chemical effects were evaluated based on potency (concentration at which response occurs) and efficacy (extent of response). A linear growth response was observed in response to prototypical estrogen receptor agonists (17β-estradiol, genistein, bisphenol A, nonylphenol, and 4-tert-octylphenol). Several compounds, including bisphenol A and genistein, induced cell growth comparable in efficacy to that of 17β-estradiol, but with decreased potency. Progestins, androgens, and corticosteroids invoked a biphasic growth response indicative of changes in cell number or cell morphology. Results from this cell growth assay were compared with results from additional estrogen receptor (ER) binding and transactivation assays. Chemicals detected as active in both the cell growth and ER receptor binding assays demonstrated potencies highly correlated with two ER transactivation assays (r = 0.72; r = 0.70). While ER binding assays detected chemicals that were highly potent or efficacious in the T-47D cell growth and transactivation assays, the binding assays lacked sensitivity in detecting weakly active compounds. In conclusion, this cell-based assay rapidly detects chemical effects on T-47D growth and shows potential, in combination with other HTS assays, to detect environmentally relevant chemicals with potential estrogenic activity.

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Year:  2013        PMID: 23682706     DOI: 10.1021/tx400117y

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  15 in total

1.  Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.

Authors:  Richard S Judson; Felicia Maria Magpantay; Vijay Chickarmane; Cymra Haskell; Nessy Tania; Jean Taylor; Menghang Xia; Ruili Huang; Daniel M Rotroff; Dayne L Filer; Keith A Houck; Matthew T Martin; Nisha Sipes; Ann M Richard; Kamel Mansouri; R Woodrow Setzer; Thomas B Knudsen; Kevin M Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2015-08-13       Impact factor: 4.849

2.  An "EAR" on Environmental Surveillance and Monitoring: A Case Study on the Use of Exposure-Activity Ratios (EARs) to Prioritize Sites, Chemicals, and Bioactivities of Concern in Great Lakes Waters.

Authors:  Brett R Blackwell; Gerald T Ankley; Steven R Corsi; Laura A DeCicco; Keith A Houck; Richard S Judson; Shibin Li; Matthew T Martin; Elizabeth Murphy; Anthony L Schroeder; Edwin R Smith; Joe Swintek; Daniel L Villeneuve
Journal:  Environ Sci Technol       Date:  2017-07-18       Impact factor: 9.028

3.  Editor's Highlight: Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space.

Authors:  Richard Judson; Keith Houck; Matt Martin; Ann M Richard; Thomas B Knudsen; Imran Shah; Stephen Little; John Wambaugh; R Woodrow Setzer; Parth Kothiya; Jimmy Phuong; Dayne Filer; Doris Smith; David Reif; Daniel Rotroff; Nicole Kleinstreuer; Nisha Sipes; Menghang Xia; Ruili Huang; Kevin Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2016-05-20       Impact factor: 4.849

4.  Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction.

Authors:  Kimberley M Zorn; Daniel H Foil; Thomas R Lane; Daniel P Russo; Wendy Hillwalker; David J Feifarek; Frank Jones; William D Klaren; Ashley M Brinkman; Sean Ekins
Journal:  Environ Sci Technol       Date:  2020-09-15       Impact factor: 9.028

Review 5.  Screening for Chemical Contributions to Breast Cancer Risk: A Case Study for Chemical Safety Evaluation.

Authors:  Megan R Schwarzman; Janet M Ackerman; Shanaz H Dairkee; Suzanne E Fenton; Dale Johnson; Kathleen M Navarro; Gwendolyn Osborne; Ruthann A Rudel; Gina M Solomon; Lauren Zeise; Sarah Janssen
Journal:  Environ Health Perspect       Date:  2015-06-02       Impact factor: 9.031

6.  Real-time cell toxicity profiling of Tox21 10K compounds reveals cytotoxicity dependent toxicity pathway linkage.

Authors:  Jui-Hua Hsieh; Ruili Huang; Ja-An Lin; Alexander Sedykh; Jinghua Zhao; Raymond R Tice; Richard S Paules; Menghang Xia; Scott S Auerbach
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

7.  Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach.

Authors:  Heather L Ciallella; Daniel P Russo; Lauren M Aleksunes; Fabian A Grimm; Hao Zhu
Journal:  Environ Sci Technol       Date:  2021-07-25       Impact factor: 11.357

8.  Incorporating High-Throughput Exposure Predictions With Dosimetry-Adjusted In Vitro Bioactivity to Inform Chemical Toxicity Testing.

Authors:  Barbara A Wetmore; John F Wambaugh; Brittany Allen; Stephen S Ferguson; Mark A Sochaski; R Woodrow Setzer; Keith A Houck; Cory L Strope; Katherine Cantwell; Richard S Judson; Edward LeCluyse; Harvey J Clewell; Russell S Thomas; Melvin E Andersen
Journal:  Toxicol Sci       Date:  2015-08-06       Impact factor: 4.849

Review 9.  The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.

Authors:  Ila Cote; Melvin E Andersen; Gerald T Ankley; Stanley Barone; Linda S Birnbaum; Kim Boekelheide; Frederic Y Bois; Lyle D Burgoon; Weihsueh A Chiu; Douglas Crawford-Brown; Kevin M Crofton; Michael DeVito; Robert B Devlin; Stephen W Edwards; Kathryn Z Guyton; Dale Hattis; Richard S Judson; Derek Knight; Daniel Krewski; Jason Lambert; Elizabeth Anne Maull; Donna Mendrick; Gregory M Paoli; Chirag Jagdish Patel; Edward J Perkins; Gerald Poje; Christopher J Portier; Ivan Rusyn; Paul A Schulte; Anton Simeonov; Martyn T Smith; Kristina A Thayer; Russell S Thomas; Reuben Thomas; Raymond R Tice; John J Vandenberg; Daniel L Villeneuve; Scott Wesselkamper; Maurice Whelan; Christine Whittaker; Ronald White; Menghang Xia; Carole Yauk; Lauren Zeise; Jay Zhao; Robert S DeWoskin
Journal:  Environ Health Perspect       Date:  2016-04-19       Impact factor: 9.031

10.  Label-free and dynamic monitoring of cytotoxicity to the blood-brain barrier cells treated with nanometre copper oxide.

Authors:  Duan Lian; Zhang Chonghua; Gu Wen; Zhang Hongwei; Bai Xuetao
Journal:  IET Nanobiotechnol       Date:  2017-12       Impact factor: 1.847

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