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Cited by 499

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Synergistic Activation of Estrogen Receptor with Combinations of Environmental Chemicals

Arnold, Steven F., Klotz, Diane M., Collins, Bridgette M., Vonier, Peter M., Guillette, Louis J., McLachlan, John A.·1996·Science

Abstract

Certain chemicals in the environment are estrogenic. The low potencies of these compounds, when studied singly, suggest that they may have little effect on biological systems. The estrogenic potencies of combinations of such chemicals were screened in a simple yeast estrogen system (YES) containing human estrogen receptor (hER). Combinations of two weak environmental estrogens, such as dieldrin, endosulfan, or toxaphene, were 1000 times as potent in hER-mediated transactivation as any chemical alone. Hydroxylated polychlorinated biphenyls shown previously to synergistically alter sexual development in turtles also synergized in the YES. The synergistic interaction of chemical mixtures with the estrogen receptor may have profound environmental implications. These results may represent a previously uncharacterized level of regulation of estrogen-associated responses.

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Metadata

Authors
Arnold, S. F., Klotz, D. M., Collins, B. M., Vonier, P. M., Guillette, L. J., & McLachlan, J. A.
Venue
Science
Published
1996-06-07
Volume
272
Issue
5267
Pages
1489-1492
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2002021255
Cited by
499
References
0
FWCI
80.24
Type
journal article
Language
en
Status
Retracted
Open access
closed

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CoChat. (2026). Citation check: Synergistic Activation of Estrogen Receptor with Combinations of Environmental Chemicals. https://app.cochat.ai/papers/10.1126/science.272.5267.1489
The paper
Arnold, S. F., Klotz, D. M., Collins, B. M., Vonier, P. M., Guillette, L. J., & McLachlan, J. A. (1996). Synergistic Activation of Estrogen Receptor with Combinations of Environmental Chemicals. Science. https://doi.org/10.1126/science.272.5267.1489

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.