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Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2016

ABSTRACT: Here, we employed integrated chemical and biological analyses to determine how environmental mixtures affected biological responses in watersheds with different landuse. Adult male fathead minnows (Pimephales promelas) were exposed to water from different locations within the Shenandoah River watershed (VA, USA) in 2014, 2015, and 2016. The exposure locations were chosen to capture unique landuse in surrounding watersheds, including agricultural, municipal, mixed-use, and forested sites. Gene expression profiles were measured in livers of male fish exposed for 7 days using Agilent 60K custom FHM microarrays.

ORGANISM(S): Pimephales promelas

PROVIDER: GSE122978 | GEO | 2019/06/01

REPOSITORIES: GEO

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Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2015

Project description:Here, we employed integrated chemical and biological analyses to determine how environmental mixtures affected biological responses in watersheds with different landuse. Adult male fathead minnows (Pimephales promelas) were exposed to water from different locations within the Shenandoah River watershed (VA, USA) in 2014, 2015, and 2016. The exposure locations were chosen to capture unique landuse in surrounding watersheds, including agricultural, municipal, mixed-use, and forested sites. Gene expression profiles were measured in livers of male fish exposed for 7 days using Agilent 60K custom FHM microarrays.

2019-06-01 | GSE111966 | GEO

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014

2019-06-01 | GSE111965 | GEO

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014-2016

Project description:This SuperSeries is composed of the SubSeries listed below.

2019-06-01 | GSE111967 | GEO

Transcriptomic-Based Effects Monitoring for Endocrine Active ChemicalsM-bM-^@M-^TAssessing Relative Contribution of Treated Wastewater to Downstream Pollution

Project description:Many biomonitoring tools/approaches have been proposed to assess presence of endocrine active chemicals (EACs) and their biological effects in the field. Although these tools have provided valuable information, they are often limited by their specificity for certain groups of EACs and they may not account for interactions between EACs. This study aims to evaluate utility of transcriptomic and metabolomic technologies for effects monitoring in the field, and to advance integration of omic and environmental chemistry data sets. The objective was to utilize transcriptomic biomonitoring to determine the relative contribution of wastewater treatment plant effluents to biological effects observed in fish exposed to ambient waters receiving the effluents. Adult male fathead minnow were exposed to treated wastewater effluent or stream water up or downstream the plant in three different watersheds for 4 days. After exposure, the liver of 5-7 fish per treatment per site (i.e 19-21 fish from each watershed) were analyzed by microarrays. The transcriptomic profiles were compared to control fish exposed to Lake Superior filtered water.

2014-01-04 | E-GEOD-49098 | biostudies-arrayexpress

Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2016

Project description:Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2016

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Exposure of Feathead Minnows to Municipal Wastewater Effluent Inhibits the Canonical Wnt Signaling Pathway in the Liver

Project description:Municipal wastewater effluent can impact its receiving environment. In the St. Lawrence River, male fish living downstream from Montreal exhibit increased hepatic vitellogenin, intersex, delayed spermatogenesis and altered immune function. Few studies have examined genome-wide effects associated with municipal effluent exposure in fish to decipher the mechanisms of toxicity. The present objective was to identify hepatic cellular signaling pathways in fathead minnows following exposure to municipal wastewater effluent. Immature minnows were exposed for 21 days to either 0% (Control) or 20% municipal effluent, the highest concentration in the St. Lawrence River. Hepatic RNA was extracted and used to hybridize a fathead minnow oligonucleotide microarray containing approximately 15K gene sequences.

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Investigating the changes in gene expression of liver tissue exposed to phenanthrene over 72hr

Project description:FHM were exposed to 29ng/L phenanthrene. Fish were euthanized and samples taken after 24, 48 and 72hr.

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Exposure of Feathead Minnows to Municipal Wastewater Effluent Inhibits the Canonical Wnt Signaling Pathway in the Liver

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Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014-2016

Project description:Assessment of Endocrine Disruption in the Shenandoah River Watershed – Transcriptome Data from Mobile Laboratory Fish Exposures and Other Experiments Conducted during 2014-2016

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Pilot testing and optimization of a larval fathead minnow high throughput transcriptomics assay

Project description:RNA-seq expression assays were done in larval Pimephales promelas (Fathead minnow, FHM) exposed to 10 chemicals (3 metals, 4 Neonicotinoids, and 3 pharmaceuticals) over a range of concentrations to derive relatively short term transcriptomics based points of departure (tPODs). tPODs were compared to apical points of departures (aPODs) to investigate the potential use of the FHM tPODS as part of a high throughput approach that might be used in a regulatory context.

2023-01-01 | GSE207231 | GEO

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