RNA seq data examining response to chemical treatment to build the first gene co-expression network of zebrafish
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ABSTRACT:
ORGANISM(S): Danio rerio
PROVIDER: GSE171944 | GEO | 2021/04/13
REPOSITORIES: GEO
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Project description:RNA seq data examining response to chemical treatment to build the first gene co-expression network of zebrafish
| PRJNA721440 | ENA
Project description:Analysis of wild type genome expression profile altered by albino chemicals. Results uncovered a several groups of genes that were significant responsive to these chemicals which may contribute to the albino phenotype. WT (Col-0) sown on 0.5x MS agar medium and stratified in the dark at 4 °C for 3 days and then germinated in the light condition (16 h light/8 h dark) for 5 days at 22 °C, and then transfer to the 0.5x MS solution one day for adapt the treatment condition. In the DAG 6 (day after germination), final concentration 50 μM chemicals (7606596 and 5929745) were supplemented into the medium for chemical treatment. Approximately 2,000 seedlings were used to collect tissues before the chemicals treatment as the time zero samples. Seedlings were collected after the chemical treatment for 3 hours and 12 hours. Total RNA extracted from the collected samples was applied in each microarray experiment with Arabidopsis ATH1 GeneChip (Affymetrix). Qiagen RNAeasy mini kit (Qiagen) was used for RNA preparation. cDNA labeling, array hybridization, and scanning followed by standard Affymetrix expression array protocol. Two independent sets of microarray analyses were performed in this assay.
2012-03-27 | E-GEOD-36887 | biostudies-arrayexpress
Project description:Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to 10 chemicals that were positive for liver tumors in the two-year rodent bioassay, 14 chemicals that were negative for liver tumors, and two chemicals that produced an equivocal response. Matched vehicle control groups were run concurrently with each chemical treatment. Gene expression analysis was performed on the livers of the animals to assess the potential for identifying gene expression biomarkers and signaling pathways that can predict tumor formation in a two-year bioassay following a 13 week exposure. Five-week-old female B6C3F1 mice were exposed for 13 weeks to 26 chemicals. The chemical and dose information are provided with the individual sample annotations. With each chemical treatment, a matched vehicle control group was run concurrently with the exposure. A subset of five chemicals, methylene chloride, naphthalene, 1,2,3-trichloropropane, propylene glycol mono-t-butyl ether, and 1,4-dichlorobenzene, were performed in a five-point dose response with matched control groups. The concentrations for these exposures overlapped those in the original cancer bioassay. Gavage exposures were administered 5 days per week and feed exposures were provided 7 days per week. For inhalation exposures, mice were exposed 6 hr per day, 5 days per week. After 13 weeks, animals were euthanized and livers were collected. The right, caudate and median liver lobes were minced together and used for microarray analysis. Microarray analysis was performed on the livers of three to five mice per treatment group.
2010-03-08 | E-GEOD-18858 | biostudies-arrayexpress
Project description:Daphnia magna is a bio-indicator organism accepted by several international water quality regulatory agencies. Current approaches for assessment of water quality rely on acute and chronic toxicity that provide no insight into the cause of toxicity. Recently, molecular approaches, such as genome wide gene expression responses, are enabling an alternative mechanism based approach to toxicity assessment. While these genomic methods are providing important mechanistic insight into toxicity, statistically robust prediction systems that allow the identification of chemical contaminants from the molecular response to exposure are needed. Here we apply advanced machine learning approaches to develop predictive models of contaminant exposure using a D. magna gene expression dataset for 36 chemical exposures. We demonstrate here that we can discriminate between chemicals belonging to different chemical classes including endocrine disruptors, metals and industrial chemicals based on gene expression. We also show that predictive models based on indices of whole pathway transcriptional activity can achieve comparable results while facilitating biological interpretability. D. magna were exposed to 36 Chemicals and 5 control series in quadruplicate.
2013-01-17 | E-GEOD-43564 | biostudies-arrayexpress
Project description:Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to 10 chemicals that were positive for liver tumors in the two-year rodent bioassay, 14 chemicals that were negative for liver tumors, and two chemicals that produced an equivocal response. Matched vehicle control groups were run concurrently with each chemical treatment. Gene expression analysis was performed on the livers of the animals to assess the potential for identifying gene expression biomarkers and signaling pathways that can predict tumor formation in a two-year bioassay following a 13 week exposure.
2010-03-01 | GSE18858 | GEO
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:As part of the West Virginia Chemical Spill research program, NTP evaluated three chemicals that were spilled into the Elk Rever in West Virginia for their ability to cause toxicity or biological changes in a short-term toxicogenomic study
2018-10-15 | GSE119833 | GEO
Project description:The primary goal of toxicology and safety testing is to identify agents that have the potential to cause adverse effects in humans. Unfortunately, many of these tests have not changed significantly in the past 30 years and most are inefficient, costly, and rely heavily on the use of animals. The rodent cancer bioassay is one of these safety tests and was originally established as a screen to identify potential carcinogens that would be further analyzed in human epidemiological studies. Today, the rodent cancer bioassay has evolved into the primary means to determine the carcinogenic potential of a chemical and generate quantitative information on dose-response behavior in chemical risk assessments. Due to the resource-intensive nature of these studies, each bioassay costs $2 to $4 million and takes over three years to complete. Over the past 30 years, only 1,468 chemicals have been tested in a rodent cancer bioassay. By comparison, approximately 9,000 chemicals are used by industry in quantities greater than 10,000 lbs and nearly 90,000 chemicals have been inventoried by the U.S. Environmental Protection Agency as part of the Toxic Substances Control Act. Given the disparity between the number of chemicals tested in a rodent cancer bioassay and the number of chemicals used by industry, a more efficient and economical system of identifying chemical carcinogens needs to be developed. Keywords: toxicology, chemical carcinogenesis, lung
2007-02-14 | GSE6116 | GEO
Project description:This study aims to investigate the individual effect of cocktail VCRTc on the direct reprogramming process.We collected cells as follows: mouse chondrocytes (mchons), mouse embryonic fibroblasts(MEFs), MEFs treated by a chemical cocktail VCRTc for 3 days (3d-VCRTc) and 6 days (6d-VCRTc), and MEFs treated by individual chemical V, C, R, T, ce for 6 days, respectively. Then we did RNA extraction,reverse transcription and library preperation before bulk RNA seq. We uncovered that MEFs treated with chemicals have an upregulation of chondrocytes enriched genes; and a downregulation of MEF enriched genes,indicating that chemical treatment drove MEF toword chondrogenic lineage before the 2nd stage of differentiation.
2018-11-19 | GSE118235 | GEO
Project description:Modeled on human connectivity mapping (Cmap), this study was undertaken to investigate the potential applications of Cmap approach in ecotoxicology. Over 3500 zebrafish (Danio rerio) and fathead minnow (Pimephales promelas) transcriptomic profiles, each associated with one of several dozen chemical treatment conditions, were compiled into three distinct collections of rank-ordered gene lists (ROGLs) by species and microarray platforms. Individual query signatures, each consisting of multiple gene probes differentially expressed in a chemical condition, were used to interrogate the reference ROGLs. Informative connections were established at high success rates within species when, as defined by their mechanisms of action (MOAs), both query signatures and ROGLs were associated with the same or similar chemicals. In other words, a simple query signature functioned effectively as an exposure biomarker, without going through a typical time-consuming process of development and validation. More importantly, a large reference database of ROGLs also enabled a query signature to cross- interrogate other chemical conditions with overlapping MOAs, leading to novel groupings and subgroupings of seemingly unrelated chemicals at a finer resolution. This approach confirmed the identities of several estrogenic chemicals, as well as a polycyclic aromatic hydrocarbon and a neuro-toxin, in the largely uncharacterized water samples near several waste water treatment plants, and thus demonstrates its future potential in real world applications. The power of Cmap should grow along with the chemical coverage of its ROGLs, making it a framework easily scalable in the future. For toxicity extrapolation across fish species, however, a sufficient number of GEPs linked to chemical conditions common to multiple fish species are needed next in order to conduct a more thorough feasibility study of interspecific Cmap.
2017-01-08 | GSE70807 | GEO