Literature DB >> 23383871

Robust array-based coregulator binding assay predicting ERα-agonist potency and generating binding profiles reflecting ligand structure.

Jac M M J G Aarts1, Si Wang, René Houtman, Rinie M G J van Beuningen, Walter M A Westerink, Beppy J Van De Waart, Ivonne M C M Rietjens, Toine F H Bovee.   

Abstract

Testing chemicals for their endocrine-disrupting potential, including interference with estrogen receptor (ER) signaling, is an important aspect of chemical safety testing. Because of the practical drawbacks of animal testing, the development of in vitro alternatives for the uterotrophic assay and other in vivo (anti)estrogenicity tests has high priority. It was previously demonstrated that an in vitro assay that profiles ligand-induced binding of ERα to a microarray of coregulator-derived peptides might be a valuable candidate for a panel of in vitro assays aiming at an ultimate replacement of the uterotrophic assay. In the present study, the reproducibility and robustness of this coregulator binding assay was determined by measuring the binding profiles of 14 model compounds that are recommended by the Office of Prevention, Pesticides and Toxic Substances for testing laboratory proficiency in estrogen receptor transactivation assays. With a median coefficient of variation of 5.0% and excellent correlation (R(2) = 0.993) between duplicate measurements, the reproducibility of the ERα-coregulator binding assay was better than the reproducibility of other commonly used in vitro ER functional assays. In addition, the coregulator binding assay is correctly predicting the estrogenicity for 13 out of 14 compounds tested. When the potency of the ER-agonists to induce ERα-coregulator binding was compared to their ER binding affinity, their ranking was similar, and the correlation between the EC50 values was excellent (R(2) = 0.96), as was the correlation with their potency in a transactivation assay (R(2) = 0.94). Moreover, when the ERα-coregulator binding profiles were hierarchically clustered using Euclidian cluster distance, the structurally related compounds were found to cluster together, whereas the steroid test compounds having an aromatic A-ring were separated from those with a cyclohexene A-ring. We concluded that this assay is capable of distinguishing ERα agonists and antagonists and that it even reflects the structural similarity of ERα agonists, indicating a potential to achieve identification and classification of ERα endocrine disruptors with high fidelity.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23383871     DOI: 10.1021/tx300463b

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


  14 in total

Review 1.  Steroid receptor/coactivator binding inhibitors: An update.

Authors:  Kornelia J Skowron; Kenneth Booker; Changfeng Cheng; Simone Creed; Brian P David; Phillip R Lazzara; Amy Lian; Zamia Siddiqui; Thomas E Speltz; Terry W Moore
Journal:  Mol Cell Endocrinol       Date:  2019-06-01       Impact factor: 4.102

2.  Extending an in vitro panel for estrogenicity testing: the added value of bioassays for measuring antiandrogenic activities and effects on steroidogenesis.

Authors:  Si Wang; Jeroen C W Rijk; Harrie T Besselink; René Houtman; Ad A C M Peijnenburg; Abraham Brouwer; Ivonne M C M Rietjens; Toine F H Bovee
Journal:  Toxicol Sci       Date:  2014-06-13       Impact factor: 4.849

3.  Binding of bisphenol A, bisphenol AF, and bisphenol S on the androgen receptor: Coregulator recruitment and stimulation of potential interaction sites.

Authors:  Lalith Perera; Yin Li; Laurel A Coons; Rene Houtman; Rinie van Beuningen; Bonnie Goodwin; Scott S Auerbach; Christina T Teng
Journal:  Toxicol In Vitro       Date:  2017-07-24       Impact factor: 3.500

4.  And Now for Something Completely Different: Diversity in Ligand-Dependent Activation of Ah Receptor Responses.

Authors:  Michael S Denison; Samantha C Faber
Journal:  Curr Opin Toxicol       Date:  2017-02

5.  Dual-mechanism estrogen receptor inhibitors.

Authors:  Jian Min; Jerome C Nwachukwu; Charles K Min; Jacqline W Njeri; Sathish Srinivasan; Erumbi S Rangarajan; Charles C Nettles; Valeria Sanabria Guillen; Yvonne Ziegler; Shunchao Yan; Kathryn E Carlson; Yingwei Hou; Sung Hoon Kim; Scott Novick; Bruce D Pascal; Rene Houtman; Patrick R Griffin; Tina Izard; Benita S Katzenellenbogen; John A Katzenellenbogen; Kendall W Nettles
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

6.  Differential modulation of FXR activity by chlorophacinone and ivermectin analogs.

Authors:  Chia-Wen Hsu; Jui-Hua Hsieh; Ruili Huang; Dirk Pijnenburg; Thai Khuc; Jon Hamm; Jinghua Zhao; Caitlin Lynch; Rinie van Beuningen; Xiaoqing Chang; René Houtman; Menghang Xia
Journal:  Toxicol Appl Pharmacol       Date:  2016-10-20       Impact factor: 4.219

7.  Chemical systems biology reveals mechanisms of glucocorticoid receptor signaling.

Authors:  Nelson E Bruno; Jerome C Nwachukwu; Sathish Srinivasan; Charles C Nettles; Tina Izard; Zhuang Jin; Jason Nowak; Michael D Cameron; Siddaraju V Boregowda; Donald G Phinney; Olivier Elemento; Xu Liu; Eric A Ortlund; René Houtman; Diana A Stavreva; Gordon L Hager; Theodore M Kamenecka; Douglas J Kojetin; Kendall W Nettles
Journal:  Nat Chem Biol       Date:  2021-01-28       Impact factor: 15.040

8.  A model for aryl hydrocarbon receptor-activated gene expression shows potency and efficacy changes and predicts squelching due to competition for transcription co-activators.

Authors:  Ted W Simon; Robert A Budinsky; J Craig Rowlands
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

9.  Predictive features of ligand-specific signaling through the estrogen receptor.

Authors:  Jerome C Nwachukwu; Sathish Srinivasan; Yangfan Zheng; Song Wang; Jian Min; Chune Dong; Zongquan Liao; Jason Nowak; Nicholas J Wright; René Houtman; Kathryn E Carlson; Jatinder S Josan; Olivier Elemento; John A Katzenellenbogen; Hai-Bing Zhou; Kendall W Nettles
Journal:  Mol Syst Biol       Date:  2016-04-22       Impact factor: 11.429

10.  Resveratrol modulates the inflammatory response via an estrogen receptor-signal integration network.

Authors:  Jerome C Nwachukwu; Sathish Srinivasan; Nelson E Bruno; Alexander A Parent; Travis S Hughes; Julie A Pollock; Olsi Gjyshi; Valerie Cavett; Jason Nowak; Ruben D Garcia-Ordonez; René Houtman; Patrick R Griffin; Douglas J Kojetin; John A Katzenellenbogen; Michael D Conkright; Kendall W Nettles
Journal:  Elife       Date:  2014-04-25       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.