Global ovary gene interaction network structure informs biological effects of Chemical stressors
Ontology highlight
ABSTRACT:
ORGANISM(S): Pimephales promelas
PROVIDER: GSE70936 | GEO | 2016/07/06
SECONDARY ACCESSION(S): PRJNA289972
REPOSITORIES: GEO
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Project description:Background: Complex biological networks control fundamental processes such as reproduction. The relationship of network structure to biological function was investigated in a global gene interaction network developed from ovary tissues of the model fish, fathead minnow (Pimephales promelas). Results: A global ovary gene interaction network was inferred from gene expression in ovaries of fathead minnow representing 288 different exposure conditions and 1,472 microarrays. More than 74 percent of the interactions in two subnetworks and 37% of the connections in a third subnetwork were also present as known connections found in curated databases and the literature. Subnetworks within the network were enriched in specific pathways and key ovarian functions. The network location of differentially expressed genes from different ovary stages was consistent with known functional changes at those stages. The global network provide additional insight into gene function when gene directly linked to differentially expressed genes are considered in enrichment analysis. Analysis of the impact of bisphenol A on ovarian gene expression demonstrated that the network provides an informative frame work in which to investigate mechanisms by which chemical effects occur. Conclusions: Our results suggest that the ovary transcriptional network is composed of several connected subnetworks where each is enriched in specific functions. Construction of a global gene regulatory network from multiple experiments provides valuable insight into the function of genes and the impact of chemicals on biological systems. total RNA from the ovary tissue of treated or control fish labeled in single color was hybridized to Agilent fathead minnow microarray (design 019597)
2016-07-06 | E-GEOD-70936 | biostudies-arrayexpress
Project description:Omics approaches are broadly used to explore endocrine and toxicity-related pathways and functions. Nevertheless, there is still a significant gap in knowledge in terms of understanding the endocrine system and its numerous connections and intricate feedback loops, especially in non-model organisms. The fathead minnow (Pimephales promelas) is a widely used small fish model for aquatic toxicology and regulatory testing, particularly in North America. A draft genome has been published but the amount of available genomic or transcriptomic information is still far behind that of other more broadly studied species, such as the zebrafish. Here, we surveyed the tissue-specific proteome and transcriptome profiles in adult male fathead minnow. To do so, we generated a draft transcriptome using short and long sequencing reads. We also performed RNA sequencing and proteomics analysis on the telencephalon, hypothalamus, liver, and gut of male fish. The main purpose of this analysis was to generate tissue-specific omics data in order to support future aquatic ecotoxicogenomic and endocrine-related studies as well as to improve our understanding of the fathead minnow as an ecological model.
2018-10-15 | PXD010216 | Pride
Project description:Fathead minnow and zebrafish are among the most intensively studied fish species in environmental toxicogenomics. To aid the assessment and interpretation of subtle transcriptomic effects from treatment conditions of interest, there needs to be a better characterization and understanding of the natural variation in gene expression among fish individuals within populations. Little effort, however, has been made in this area. Leveraging the transcriptomics data from a number of our toxicogenomics studies conducted over the years, we conducted a meta-analysis of nearly 600 microarrays generated from the ovary tissue of untreated, reproductively mature fathead minnow and zebrafish samples. As expected, there was considerable batch-to-batch transcriptomic variation; this “batch-effect” appeared to impact the fish transcriptomes randomly. The overall level of variation within-batch was quite low in fish ovary tissue, making it a suitable system for studying chemical stressors with subtle biological effects. The within-batch variation, however, differed considerably among individual genes and molecular pathways. This difference in variability is probably both technical and biological, thus suggesting a need to take into account both the expression levels and variance in evaluating and interpreting the transcriptional impact on genes and pathways by experimental conditions. There was significant conservation of both the genomes and transcriptomes between fathead minnow and zebrafish. The conservation to such a degree would enable not only a comparative biology approach in studying the mechanisms of action underlying environmental stressors, but also effective sharing of a large amount of existing public transcriptomics data for future development of toxicogenomics applications. total RNA from the ovary tissue of treated or control fish labeled in single color was hybridized to Agilent fathead minnow microarray (design 019597)
2015-08-01 | E-GEOD-60126 | biostudies-arrayexpress
Project description:Interpretation of toxicogenomic experiments conducted with ovary tissue from asynchronous-spawning small fish species are complicated by background variation in the relative abundance and proportion of follicles at different stages within the ovary tissue sample. This study employed both real-time quantitative PCR and a 15,000 gene oligonucleotide microarray to examine variation in the fathead minnow (Pimephales promelas) ovarian transcriptional profile as a function of quantitative and qualitative differences in ovarian histology. Multiple lines of evidence supported the conclusion that variation in the transcriptional profile was primarily dependent on the relative abundance of previtellogenic versus vitellogenic follicles in the ovary tissue. Due to the relatively small proportions of mature ovulated follicles or atretic follicles in the overall follicle population, few putative molecular markers of maturation, ovulation, or atresia could be identified. However, among the 460 differentially expressed genes identified in the study, targets including HtrA serine peptidase 3 (htra3), tissue inhibitor of metalloproteinase 3 (timp3), aquaporin 8 (aqp8), transgelin 2 like (tagln2), Nedd4 family interacting protein 2 (ndfip2), chemokine ligand 12a (cxcl12a), midkine related growth factor (mdka), and jagged 1b (jag 1b) exhibited responses and functional properties that support them as candidate molecular markers of significant shift in gross ovarian stage. Overall, results of this study provide insights into background variation in ovary transcript profiles that should aid and enhance the interpretation of toxicogenomic data generated in experiments conducted with small, asynchronous spawning fish species. Relative abundance of approximately 15,000 RNA transcripts in 26 ovary samples and 4 expelled oocyte (egg) samples, representing the five different histoclasses defined for the present study, was evaluated using fathead minnow oligonucleotide microarrays. Fathead minnow 15,000 gene arrays were purchased from Agilent (Palo Alto, CA, USA). The Agilent one-color microarray hybridization protocol (One-Color Microarray-Based Gene Expression Analysis, version 5.7, Agilent Technologies, Palo Alto, CA) was used for microarray hybridizations following the manufacturerM-bM-^@M-^Ys protocol and recommendations. One ug of total RNA was used for all hybridizations. cDNA synthesis, cRNA labeling, amplification and hybridization were performed following the manufacturerM-bM-^@M-^Ys kits and protocols (Quick Amp Labeling kit; Agilent, Palo Alto, CA). An Axon GenePixM-BM-. 4000B Microarray Scanner (Molecular Devices Inc., city, state) was used to scan microarray images at 5 M-NM-<m resolution.
2010-04-30 | E-GEOD-18254 | biostudies-arrayexpress
Project description:Fathead minnow ovary explants were incubated with DHT at 10^-6M for 6, 9, and 12 hours. Estrogen production was significantly increased in these ovaries at all three time points.
2012-07-31 | GSE38289 | GEO
Project description:This experiment was conducted as part of an overall study aimed at examining effects of a dopamine receptor antagonist on reproduction, behavior, and gene expression in cyprinid fish. Relative to gene expression, we hypothesized that if haloperidol disrupted normal regulation of the HPG axis, there may be robust transcriptional alterations in the ovary of exposed females that might serve as useful markers of exposure and/or effects. For the purposes of this study, robust transcriptional alterations were defined as those detected in two separate fish species (fathead minnow and zebrafish), exposed to the same concentration of haloperidol for the same duration. There is a companion zebrafish microarray experiment (GSE14861) that these data are compared to. Transcriptional responses in the ovary of the two species are compared in terms of differentially expressed genes, enriched gene ontology categories they represent, and associated pathways. Fathead minnow and zebrafish microarray experiment Samples for microarray analysis were generated in a separate, 96 h, continuous flow-through experiment. Nominal treatment concentrations for the microarray experiment were 0 and 50 μg haloperidol/L. Chemical (or control water) delivery was initiated 24 h prior to adding fish to the tanks. To start the experiment, fathead minnows (4 males, 4 females per tank) were added to each of three tanks per treatment group, while zebrafish (6 males, 6 females per tank) were added to each of two tanks per group. The time of fish addition was staggered by replicate within each treatment such that all samples from a given exposure tank could be collected within 60 min of the intended 96 h exposure duration. After 96 h, male and female zebrafish and female fathead minnows were anesthetized in buffered MS-222 and weighed. Whole gonads were removed, weighed, and preserved in RNAlater. Total RNA was isolated from fathead minnow ovary samples using RNeasy kits (Qiagen). RNA quality was assessed with a Agilent 2100 Bioanalyzer and quantity was determined using a Nanodrop ND-1000 spectrophotometer (Nanodrop Technologies, Wilmington, DE, USA). Aliquots of six fathead minnow ovary RNA samples per treatment group (two from each replicate per treatment) were prepared for microarray analysis.
2010-05-16 | E-GEOD-15115 | biostudies-arrayexpress
Project description:This experiment was conducted as part of an overall study aimed at examining effects of a dopamine receptor antagonist on reproduction, behavior, and gene expression in cyprinid fish. Relative to gene expression, we hypothesized that if haloperidol disrupted normal regulation of the HPG axis, there may be robust transcriptional alterations in the ovary of exposed females that might serve as useful markers of exposure and/or effects. For the purposes of this study, robust transcriptional alterations were defined as those detected in two separate fish species (fathead minnow and zebrafish), exposed to the same concentration of haloperidol for the same duration. There is a companion fathead minnow microarray experiment (GSE15115) that these data are compared to. Transcriptional responses in the ovary of the two species are compared in terms of differentially expressed genes, enriched gene ontology categories they represent, and associated pathways.
2009-12-22 | GSE14861 | GEO
Project description:Fathead minnow and zebrafish are among the most intensively studied fish species in environmental toxicogenomics. To aid the assessment and interpretation of subtle transcriptomic effects from treatment conditions of interest, there needs to be a better characterization and understanding of the natural variation in gene expression among fish individuals within populations. Little effort, however, has been made in this area. Leveraging the transcriptomics data from a number of our toxicogenomics studies conducted over the years, we conducted a meta-analysis of nearly 600 microarrays generated from the ovary tissue of untreated, reproductively mature fathead minnow and zebrafish samples. As expected, there was considerable batch-to-batch transcriptomic variation; this “batch-effect” appeared to impact the fish transcriptomes randomly. The overall level of variation within-batch was quite low in fish ovary tissue, making it a suitable system for studying chemical stressors with subtle biological effects. The within-batch variation, however, differed considerably among individual genes and molecular pathways. This difference in variability is probably both technical and biological, thus suggesting a need to take into account both the expression levels and variance in evaluating and interpreting the transcriptional impact on genes and pathways by experimental conditions. There was significant conservation of both the genomes and transcriptomes between fathead minnow and zebrafish. The conservation to such a degree would enable not only a comparative biology approach in studying the mechanisms of action underlying environmental stressors, but also effective sharing of a large amount of existing public transcriptomics data for future development of toxicogenomics applications.
2015-08-01 | GSE60126 | GEO
Project description:Fathead minnow and zebrafish are among the most intensively studied fish species in environmental toxicogenomics. To aid the assessment and interpretation of subtle transcriptomic effects from treatment conditions of interest, there needs to be a better characterization and understanding of the natural variation in gene expression among fish individuals within populations. Little effort, however, has been made in this area. Leveraging the transcriptomics data from a number of our toxicogenomics studies conducted over the years, we conducted a meta-analysis of nearly 600 microarrays generated from the ovary tissue of untreated, reproductively mature fathead minnow and zebrafish samples. As expected, there was considerable batch-to-batch transcriptomic variation; this “batch-effect” appeared to impact the fish transcriptomes randomly. The overall level of variation within-batch was quite low in fish ovary tissue, making it a suitable system for studying chemical stressors with subtle biological effects. The within-batch variation, however, differed considerably among individual genes and molecular pathways. This difference in variability is probably both technical and biological, thus suggesting a need to take into account both the expression levels and variance in evaluating and interpreting the transcriptional impact on genes and pathways by experimental conditions. There was significant conservation of both the genomes and transcriptomes between fathead minnow and zebrafish. The conservation to such a degree would enable not only a comparative biology approach in studying the mechanisms of action underlying environmental stressors, but also effective sharing of a large amount of existing public transcriptomics data for future development of toxicogenomics applications.
2015-08-01 | GSE60167 | GEO
Project description:The herbicide linuron is an endocrine disruptor with a suspected anti-androgenic mode of action (MOA) but the complete MOA for LIN is not fully characterized. The objectives of this study were to better characterize the MOA of LIN in the fathead minnow (FHMs) ovary by comparing expression profiles of LIN to dihydrotestosterone (DHT) and flutamide (FLUT), both model compounds with well defined androgenic and anti-androgenic MOAs respectively. Ovarian explants from vitellogenic FHMs were exposed to 10-6 M, 10-7 M, and 10-8 M of DHT, FLUT, and LIN in vitro in a12 hour incubation experiment. Ovary explants exposed to DHT showed a significant increase in E2 production compared to controls but FLUT and LIN did not affect E2 production. Microarray analysis and support vector machine classification revealed that expression patterns of FLUT and LIN in the ovary were more similar to each other compared to DHT and other androgens. Gene set enrichment analysis identified the notch signaling cascade was affected by all three chemicals. DHT down-regulated the WNT-Frizzled pathway while LIN down-regulated angiopoietin receptor signaling and increased biosynthesis of cholesterol. LIN shared 27 expression sub-networks (e.g. beta-3 adrenergic receptor, MAP3K1, interleukin, signlaing) in common with FLUT, and only 4 sub-networks with DHT. A reciprocal gene expression network was constructed using DHT and FLUT data, and the network revealed that steroid metabolism, translation, and DNA replication are potentially regulated through AR signaling. This study characterizes cell pathways associated with E2 production and identifies cell signaling cascades that may be disrupted by ureic-based herbicides in the ovary. 16 samples total; 4 control, 4 DHT, 4 Flutamide, 4 LIN
2012-07-01 | E-GEOD-38287 | biostudies-arrayexpress