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accession-icon GSE8925
Global expression profiling to study the effect of imidazolinone herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to imidazolinone (Arsenal) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8927
Global expression profiling to study the effect of glyphosate herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to glyphosate (Roundup Original) herbicde that inhibits 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) enzyme and thus disrupts aromaticamino acid biosynthesis. Few genes related to defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8913
Global expression profiling to study the effect of primisulfuron herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to primisulfuron (Beacon) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branmched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8912
Global expression profiling to study the effect of sulfometuron methyl herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to sulfometuron methyl (oust XP) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branmched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8926
Global expression profiling to study the effect of triazolopyrimidine herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to triazolopyrimidine (FirstRate) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE83201
Adverse Health Effects of Cylindrospermopsin in Laboratory Animals (mouse) Studies
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE54597
Dose-response modeling of early molecular and cellular key events in CAR-mediated hepatocarcinogenesis pathway
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Male and female CD-1 mice were administered dietary Phenobarbital for 2 or 7 days. In-life, enzyme activity, cell proliferation, genomic analysis, and Bench-mark dose modeling was carried out.

Publication Title

Dose-response modeling of early molecular and cellular key events in the CAR-mediated hepatocarcinogenesis pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE109021
Identification of Androgen Receptor Modulators in a Prostate Cancer Cell Line Microarray Compendium
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

High-throughput transcriptomic (HTTr) technologies are increasingly being used to screen environmental chemicals in vitro to identify molecular targets and provide mechanistic context for regulatory testing. The androgen receptor (AR, NR3C4) regulates male sexual development, is involved in the pathogenesis of a number of cancers, and is often the target of endocrine disruptors. Here, we describe the development and validation of a novel gene expression biomarker to identify AR-modulating chemicals using a pattern matching method. AR biomarker genes were identified by their consistent expression after exposure to 4 AR agonists and opposite expression after exposure to 4 AR antagonists. A genetic filter was used to include only those genes that were regulated by AR. Most of the resulting 51 biomarker genes were shown to be directly regulated by AR as determined by ChIP-Seq analysis of AR-DNA interactions. The biomarker was evaluated as a predictive tool using the fold-change rank-based Running Fisher algorithm which compares the expression of AR biomarker genes under various treatment conditions. Using 163 comparisons from cells treated with 98 chemicals, the biomarker gave balanced accuracies for prediction of AR activation or AR suppression of 97% or 98%, respectively. The biomarker was able to correctly classify 16 out of 17 AR reference antagonists including those that are weak and very weak. Predictions based on comparisons from AR-positive LAPC-4 cells treated with 28 chemicals in antagonist mode were compared to those from an AR pathway model based on 11 in vitro high-throughput screening assays that queried different steps in AR signaling. The balanced accuracy was 93% for suppression. Using our approach, we identified conditions in which AR was modulated in a large collection of microarray profiles from prostate cancer cell lines including 1) AR constitutively active mutants or knockdown of AR, 2) depletion of androgens by castration or removal from media, and 3) modulators that work through indirect mechanisms including suppression of AR expression. These results demonstrate that the AR gene expression biomarker could be a useful tool in HTTr to identify AR modulators in large collections of microarray data derived from AR-positive prostate cancer cell lines.

Publication Title

Identification of Androgen Receptor Modulators in a Prostate Cancer Cell Line Microarray Compendium.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE10408
Triazole Antifungal Toxicogenomics: GeneLogic_Triazoles
  • organism-icon Rattus norvegicus
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The modes of triazole reproductive toxicity have been characterized by an observed increased in serum testosterone and reduced insemination and fertility indices. The key events involved in the disruption in testosterone homeostasis and reduced fertility remain unclear. Gene expression analysis was conducted on liver from Sprague Dawley rats dosed with myclobutanil (300 mg/kg/day) or triadimefon (175 mg/kg/day) for 6, 24 or 336 hours. Pathway-based analysis highlighted key biological processes affected by all three triazoles in the liver including fatty acid catabolism, steroid metabolism, and xenobiotic metabolism. Within the pathways identified in the liver, specific genes involved in phase I-III metabolism and fatty acid metabolism were affected by all three triazoles. These modulated genes are part of a network of lipid and testosterone homeostasis pathways regulated by the constitutive androstane (CAR) and pregnane X (PXR) receptors. Gene expression profiles from this study indicate triazoles activate CAR and PXR; increase fatty acid catabolism and steroid metabolism in the liver; constituting a plausible series of key events contributing to the observed disruption in testosterone homeostasis.

Publication Title

Toxicogenomic effects common to triazole antifungals and conserved between rats and humans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10410
Triazole Antifungal Toxicogenomics: human_primary_hepatocytes_CellzDirect
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The triazole antifungals myclobutanil (MYC), propiconazole (PPZ) and triadimefon (TDF) [Propiconazole CASNR 60207-90-1; Triadimefon CASNR 43121-43-3; Myclobutanil CASNR 88671-89-0] all disrupt steroid hormone homeostasis and cause varying degrees of hepatic toxicity. To identify biological pathways consistently activated across various study designs, gene expression profiling was conducted on livers from rats following acute, repeated dose, or prenatal to adult exposures. To explore conservation of responses across species, gene expression from these rat in vivo studies were also compared to in vitro data from rat and human primary hepatocytes exposed to MYC, PPZ, or TDF. Pathway and gene level analyses across time of exposure, dose, and species identified patterns of expression common to all three triazoles, which were also conserved between rodents and humans. Pathways affected included androgen and estrogen metabolism, xenobiotic metabolism signaling through CAR and PXR, and CYP mediated metabolism. Many of the differentially expressed genes are regulated by the nuclear receptors CAR, PPAR alpha and PXR, including ABC transporter genes (Abcb1 and MDR1), genes significant to xenobiotic, fatty acid, sterol and steroid metabolism (Cyp2b2 and CYP2B6; Cyp3a1 and CYP3A4; Cyp4a22 and CYP4A11) and xxx (Ugt1a1 and UGT1A1). Modulation of hepatic sterol and steroid metabolism is a plausible mechanism for triazole induced increases in serum testosterone. The gene expression changes caused by all three triazoles appear to focus on pathways regulating lipid and testosterone homeostasis, identifying potential common mechanisms of triazole hepatotoxicity that are conserved between rodents and humans.

Publication Title

Toxicogenomic effects common to triazole antifungals and conserved between rats and humans.

Sample Metadata Fields

No sample metadata fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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