Dose-dependent transcriptomic responses of zebrafish eleutheroembryos to Bisphenol A

Martínez, Rubén; Esteve‐Codina, Anna; Herrero-Nogareda, Laia; Ortiz-Villanueva, Elena; Barata, Carlos; Tauler, Romà; Raldúa, Demetrio; Piña, Benjamı́n; Navarro‐Martín, Laia

doi:10.1016/j.envpol.2018.09.043

Cited by 31 publications

(35 citation statements)

References 79 publications

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“…Adverse effects of EDCs on the reproductive system can result from interaction with sex steroids or their receptors and other types of receptors, including aryl hydrocarbon receptor (AhR), Peroxisome proliferator-activated receptor (PPAR), liver X receptor (LXR), thyroid hormone receptors (TR), and retinoid X receptor (RXR). Thus, health impact of EDCs can result from altered gonadal development, gamete production (4–12), lower fertility, and reproductive success (13, 14), interfere with epigenetic mechanism (9, 15), altered growth (16, 17), morphology (18), metabolism (19, 20), lipid metabolism (18, 21), dysregulation of the central and peripheral endocannabinoid system (ECS) (21–23), Cardiac response and development (24, 25), DNA damage and cytotoxicity (26), neuronal development and behavior (27–29), as well as compromised immune system (3, 30) and stress performance (31). Furthermore, there is evidence that EDCs are able to increase progression of certain kinds of diseases, including obesity, diabetes, endometriosis, and hormone-dependent cancers [Reviewed in (32)].…”

Section: Introductionmentioning

confidence: 99%

Differential Hepatic Gene Expression Profile of Male Fathead Minnows Exposed to Daily Varying Dose of Environmental Contaminants Individually and in Mixture

et al. 2018

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Environmental contaminants are known to impair reproduction, metabolism and development in wild life and humans. To investigate the mechanisms underlying adverse effects of contaminants, fathead minnows were exposed to a number of endocrine disruptive chemicals (EDCs) including Nonylphenol (NP), bisphenol-A (BPA), Di(2-ethylhexyl) phthalate (DEHP), and a mixture of the three chemicals for 21 days, followed by determination of the liver transcriptome by expression microarrays. Pathway analysis revealed a distinct mode of action for the individual chemicals and their mixture. The results showed expression changes in over 980 genes in response to exposure to these EDC contaminants individually and in mixture. Ingenuity Pathway core and toxicity analysis were used to identify the biological processes, pathways and the top regulators affected by these compounds. A number of canonical pathways were significantly altered, including cell cycle & proliferation, lipid metabolism, inflammatory, innate immune response, stress response, and drug metabolism. We identified 18 genes that were expressed in all individual and mixed treatments. Relevant candidate genes identified from expression microarray data were verified using quantitative PCR. We were also able to identify specific genes affected by NP, BPA, and DEHP individually, but were also affected by exposure to the mixture of the contaminants. Overall the results of this study provide novel information on the adverse health impact of contaminants tested based on pathway analysis of transcriptome data. Furthermore, the results identify a number of new biomarkers that can potentially be used for screening environmental contaminants.

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Section: Introductionmentioning

confidence: 99%

Differential Hepatic Gene Expression Profile of Male Fathead Minnows Exposed to Daily Varying Dose of Environmental Contaminants Individually and in Mixture

et al. 2018

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“…Then, we needed to determine whether DEGs identified by using only measured expression of the Zf S1500+ genes lead to valid pathway-level conclusions that represent the same biology that a researcher would observe when measuring the full transcriptome. In this study, we evaluated the Zf S1500+ gene set using four publicly available RNA-Seq datasets (GSE113676, 41 GSE76564, 42 GSE75894, 42 and GSE100062 43 ).…”

Section: Resultsmentioning

confidence: 99%

“…For the BPA dataset, 41 DEG and DEP analysis were performed comparing (1) the middle concentration, 1 ppm, to the control group and (2) the high concentration, 4 ppm, to the control group.…”

Section: Resultsmentioning

confidence: 99%

“…Four publicly available RNA-Seq datasets from Gene Expression Omnibus 40 (GEO) were selected: BPA dataset (GSE113676) 41 : 12 samples of zebrafish embryos exposed to varying concentrations of bisphenol A (3 replicates each for control and 3 exposure concentrations)Caudal fin dataset (GSE76564) 42 : 4 samples (2 regenerating after amputation and 2 uninjured), each a pool of 10 finsAblated heart dataset (GSE75894) 42 : 4 samples (2 regenerating following genetic ablation of cardiomyocytes and 2 uninjured), each a pool of 10 heartsEye dataset (GSE100062) 43 : 8 samples (4 GFP+ fluorescence-activated cell sorting (FACS)-sorted rods and 4 GFP− FACS-sorted nonrods from retina); each sample contained the 2 retinas from each of 4 fish…”

Section: Methodsmentioning

confidence: 99%

“…BPA dataset (GSE113676) 41 : 12 samples of zebrafish embryos exposed to varying concentrations of bisphenol A (3 replicates each for control and 3 exposure concentrations)…”

Section: Methodsmentioning

confidence: 99%

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Development of a Zebrafish S1500+ Sentinel Gene Set for High-Throughput Transcriptomics

et al. 2019

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Sentinel gene sets have been developed with the purpose of maximizing the information from targeted transcriptomic platforms. We recently described the development of an S1500+ sentinel gene set, which was built for the human transcriptome, utilizing a data- and knowledge-driven hybrid approach to select a small subset of genes that optimally capture transcriptional diversity, correlation with other genes based on large-scale expression profiling, and known pathway annotation within the human genome. While this detailed bioinformatics approach for gene selection can in principle be applied to other species, the reliability of the resulting gene set depends on availability of a large body of transcriptomics data. For the model organism zebrafish, we aimed to create a similar sentinel gene set (Zf S1500+ gene set); however, there is insufficient standardized expression data in the public domain to train the gene correlation model. Therefore, our strategy was to use human-zebrafish ortholog mapping of the human S1500+ genes and nominations from experts in the zebrafish scientific community. In this study, we present the bioinformatics curation and refinement process to produce the final Zf S1500+ gene set, explore whole transcriptome extrapolation using this gene set, and assess pathway-level inference. This gene set will add value to targeted high-throughput transcriptomics in zebrafish for toxicogenomic screening and other research domains.

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Bisphenol A prevents MCF‐7 breast cell apoptosis via the inhibition of progesterone receptor transactivation

Ogawa

Kitamoto

Takeda

et al. 2023

J Biochem & Molecular Tox

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2,2-Bis(4-hydroxyphenyl)propane (bisphenol A; BPA) is an environmental endocrinedisrupting chemical. It mimics the effects of estrogen at multiple levels by activating estrogen receptors (ERs); however, BPA also affects the proliferation of human breast cancer cells independent of ERs. Although BPA inhibits progesterone (P4) signaling, the toxicological significance of its effects remain unknown. Tripartite motif-containing 22 (TRIM22) has been identified as a P4-responsive and apoptosis-related gene. Nevertheless, it has not yet been established whether exogenous chemicals change TRIM22 gene levels. Therefore, the present study investigated the effects of BPA on P4 signaling and TRIM22 and TP53 expression in human breast carcinoma MCF-7 cells. In MCF-7 cells incubated with various concentrations of P4, TRIM22 messenger RNA (mRNA) levels increased in a dose-dependent manner. P4 induced apoptosis and decreased viability in MCF-7 cells. The knockdown of TRIM22 abolished P4-induced decreases in cell viability and P4-induced apoptosis. P4 increased TP53 mRNA expression and p53knockdown decrease the basal level of TRIM22 and P4 increased TRIM22 mRNA expression independent of p53 expression. BPA attenuated P4-induced increases in the ratio of cell apoptosis in a concentration-dependent manner, and the P4-induced decreases in cell viability was abolished in the presence of 100 nM and higher BPA concentrations. Furthermore, BPA inhibited P4-induced TRIM22 and TP53 expression.In conclusion, BPA inhibited P4-induced apoptosis in MCF-7 cells via the inhibition of P4 receptor transactivation. TRIM22 gene has potential as a biomarker for investigating the disruption of P4 signaling by chemicals.

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Dose-dependent transcriptomic responses of zebrafish eleutheroembryos to Bisphenol A

Cited by 31 publications

References 79 publications

Differential Hepatic Gene Expression Profile of Male Fathead Minnows Exposed to Daily Varying Dose of Environmental Contaminants Individually and in Mixture

Differential Hepatic Gene Expression Profile of Male Fathead Minnows Exposed to Daily Varying Dose of Environmental Contaminants Individually and in Mixture

Development of a Zebrafish S1500+ Sentinel Gene Set for High-Throughput Transcriptomics

Bisphenol A prevents MCF‐7 breast cell apoptosis via the inhibition of progesterone receptor transactivation

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