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Datasets for Figures and Tables in SIX1 regulates aberrant endometrial epithelial cell differentiation and cancer trajectory
Data associated with the figures presented in this study are images, graphics, or tabulated data based on histopathologic analysis performed by a certified study pathologist or image analysis. Data for Tables 1 and 2 provide incidence, labeling scores, and p-values for statistical tests for uterine pathology and IHC expression by treatment group and timepoint or human endometrial tissue, as described in the Main Text file of the manuscript. Manual histopathologic data can be found in excel spreadsheets and are based on presence/absences (yes/no) of a pathologic finding and/or severity score as described in the manuscript (Fig. 1, 2, 3, 4). The image analysis data is based on the quantified area that is designated as “positive” for a particular immunohistochemical stain (Fig. 2, 4, and Suppl. Fig. S2). Supplementary Table 1 provides summary information on antibodies used for immunohistochemistry. Supplementary fig. S1 includes real time RT-PCR data standardized to a housekeeping gene and western blot data. This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Wood, and C. Williams. SIX1 regulates aberrant endometrial epithelial cell differentiation and cancer trajectory. Molecular Cancer Research. American Association for Cancer Research, Inc., Philadelphia, PA, USA, 17(12): 2369-2382, (2019).
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Suen et al. Uterine Epithelial Differentiation Patterns Induced by Neonatal Estrogen
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Table 1. Antibodies used for immunohistochemistry. Table 2. Incidence of uterine glandular epithelial lesions over time following neonatal estrogen exposure (GEN or DES) Table 3. Immunohistochemical expression of differentiation markers in the uterine epithelium following neonatal estrogen exposure (GEN or DES). This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Williams, and C. Wood. Differentiation patterns of uterine carcinomas and precursor lesions induced by neonatal estrogen exposure in mice. TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA, 46(5): 574-596, (2018).
Data submission for A-0k6f
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List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. This dataset is associated with the following publication: Vanduyn, N., B. Chorley , R. Tice, R. Judson , and C. Corton. Moving Toward Integrating Gene Expression Profiling into High-throughput Testing:A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium. TOXICOLOGICAL SCIENCES. Society of Toxicology, 151(1): 88-103, (2016).
Supporting data for Suen et al A-0zpd
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Tables, Figures, and Supplemental Materials for doi: 10.1158/1541-7786.MCR-16-0084. This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Wood, E. Padilla-Banks, V. Bae-Jump, and C. Williams. SIX1 Oncoprotein as a Biomarker in a Model of Hormonal Carcinogenesis and in Human Endometrial Cancer.. Molecular Cancer Research. American Association for Cancer Research, Inc., Philadelphia, PA, USA, 14(9): 849-858, (2016).
Supporting data for Suen et al A-0zpd
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Tables, Figures, and Supplemental Materials for doi: 10.1158/1541-7786.MCR-16-0084. This dataset is associated with the following publication: Suen, A., W. Jefferson, C. Wood, E. Padilla-Banks, V. Bae-Jump, and C. Williams. SIX1 Oncoprotein as a Biomarker in a Model of Hormonal Carcinogenesis and in Human Endometrial Cancer.. Molecular Cancer Research. American Association for Cancer Research, Inc., Philadelphia, PA, USA, 14(9): 849-858, (2016).
Datasets in Gene Expression Omnibus used in the study ORD-020382: Evaluation of estrogen receptor alpha activation by glyphosate-based herbicide constituents
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GEO accession number of the microarray study. This dataset is associated with the following publication: Mesnage, R., A. Phedonos, M. Biserni, M. Arno, S. Balu, C. Corton, R. Ugarte, and M. Antoniou. Evaluation of estrogen receptor alpha activation by glyphosate-based herbicide constituents. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 108: 30-42, (2017).
Dataset for ORD-033374: A Gene Expression Biomarker Identifies Chemical Modulators of the Estrogen Receptor α (ERα) in a MCF-7 Microarray Compendium
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Microarray experiments examined in the study. This dataset is associated with the following publication: Rooney, J., N. Ryan, J. Liu, R. Houtman, R. van Beuningen, J. Hsieh, G. Chang, S. Chen, and J. Corton. A Gene Expression Biomarker Identifies Chemical Modulators of Estrogen Receptor α in an MCF-7 Microarray Compendium. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 34(2): 313-329, (2021).
Datasets used in ORD-018902: Bisphenol A alternatives can effectively substitute for estradiol
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Gene Expression Omnibus numbers only. This dataset is associated with the following publication: Mesnage, R., A. Phedonos, M. Arno, S. Balu, C. Corton, and M. Antoniou. Transcriptome profiling reveals bisphenol A alternatives activate estrogen receptor alpha in human breast cancer cells. TOXICOLOGICAL SCIENCES. Society of Toxicology, 158(2): 431-443, (2017).
Data submission for A-d25f
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Includes 1) list of genes in the STAT5b biomarker and 2) list of accession numbers for microarray datasets used in study. This dataset is associated with the following publication: Oshida, K., N. Vasani, D. Waxman, and C. Corton. Disruption of STAT5b-Regulated Sexual Dimorphism of the Liver Transcriptome by Diverse Factors Is a Common Event. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).
ESR1 expression and DNA methylation data for FHM exposed to EE2
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This dataset contains data for adult male fathead minnows exposed to EE2 (a synthetic estrogen). It is a targeted study on the response of the esr1 gene (expression and DNA methylation profiles) to estrogen exposure. It contains mean and standard deviation for DNA methylation levels per treatment group, and gene expression data.
ESR1 expression and DNA methylation data for FHM exposed to EE2
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This dataset contains data for adult male fathead minnows exposed to EE2 (a synthetic estrogen). It is a targeted study on the response of the esr1 gene (expression and DNA methylation profiles) to estrogen exposure. It contains mean and standard deviation for DNA methylation levels per treatment group, and gene expression data.