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accession-icon E-TOXM-30
Transcription profiling of rat liver and kidney (F344 strain) following exposure to benzene, trichloroethylene, methyl mercury and their mixtures
  • organism-icon Rattus norvegicus
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

The present research aimed to study the interaction of three chemicals, methyl mercury, benzene and trichloroethylene, on mRNA expression alterations in rat liver and kidney measured by microarray analysis. These compounds were selected on presumed different modes of action. The chemicals were administered daily for 14 days at the Lowest-Observed-Adverse-Effect-Level (LOAEL) or at a two- or three-fold lower concentration individually or in binary or ternary mixtures. The compounds had strong antagonistic effects on each others gene expression changes, which included several genes encoding Phase I and II metabolizing enzymes. On the other hand, the mixtures affected the expression of “novel” genes that were not or little affected by the individual compounds. Based on gene expression changes, the three compounds exhibited a synergistic interaction at the LOAEL in the liver and both at the sub-LOAEL and LOAEL in the kidney. Many of the genes induced by mixtures but not by single compounds, such as Id2, Nr2f6, Tnfrsf1a, Ccng1, Mdm2 and Nfkb1 in the liver, are known to affect cellular proliferation, apoptosis and function. This indicates a shift from compound specific response on exposure to individual compounds to a more generic stress response to mixtures. Most of the effects on cell viability as concluded from transcriptomics were not detected by classical toxicological research illustrating the difference in sensitivity of these techniques. These results emphasize the benefit of applying toxicogenomics in mixture interaction studies, which yields biomarkers for joint toxicity and eventually can result in an interaction model for most known toxins.

Publication Title

Transcriptomics analysis of interactive effects of benzene, trichloroethylene and methyl mercury within binary and ternary mixtures on the liver and kidney following subchronic exposure in the rat.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Compound

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accession-icon GSE7479
Transcriptomics and proteomics in colon mucosa from rats fed quercetin
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Quercetin has been shown to act as an anti-carcinogen in experimental colorectal cancer (CRC). The aim of the present study was to characterise transcriptome and proteome changes occurring in the distal colon mucosa of rats supplemented with 10 g quercetin/kg diet for 11 weeks. Transcriptome data analysed with Gene Set Enrichment Analysis showed that quercetin significantly downregulated the potentially oncogenic mitogen-activated protein kinase (Mapk) pathway. In addition, quercetin enhanced expression of tumor suppressor genes, including Pten, Tp53 and Msh2, and of cell cycle inhibitors, including Mutyh. Furthermore, dietary quercetin enhanced genes involved in phase I and II metabolism, including Fmo5, Ephx1, Ephx2 and Gpx2. Quercetin increased PPAR target genes, and concomitantly enhanced expression genes in volved in of mitochondrial fatty acid degradation. Proteomics performed in the same samples revealed 33 affected proteins, of which 4 glycolysis enzymes and 3 heatshock proteins were decreased. A proteome-transcriptome comparison showed a low correlation, but both pointed out towards altered energy metabolism.

Publication Title

Transcriptome and proteome profiling of colon mucosa from quercetin fed F344 rats point to tumor preventive mechanisms, increased mitochondrial fatty acid degradation and decreased glycolysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7259
Pathway and single gene analysis of Caco-2 cell differentiation by ascorbate-stabilized quercetin
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The aim was to investigate mechanisms contributing to quercetins previously described effects on cell-proliferation and -differentiation, which contradicted its proposed anti-carcinogenic potency. In a 10-day experiment, 40 M quercetin stabilized by 1mM ascorbate reduced Caco-2 differentiation up to 50% (P<0.001). Caco-2 RNA from days 5 and 10, hybridized on HG-U133A2.0 Affymetrix GeneChips, showed 1,743 affected genes on both days (P<0.01). All 14 Caco-2 differentiation-associated genes showed decreased expression (P<0.01), including intestinal alkaline phosphatase that was confirmed technically (qRT-PCR) and functionally (enzyme-activity).

Publication Title

Pathway and single gene analyses of inhibited Caco-2 differentiation by ascorbate-stabilized quercetin suggest enhancement of cellular processes associated with development of colon cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-526
Transcription profiling by array of Saccharomyces cerevisiae after treatment with hydrogen peroxide
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Global restriction of protein synthesis is a hallmark of cellular stress. Using hydrogen peroxide, we monitor the transcript level and also the translation status for each RNA using cycloheximide to freeze elongating ribosomes. Polyribosome fractionation of cell extracts was used to separate highly translated and poorly translated mRNAs that were then separately analysed.

Publication Title

Global translational responses to oxidative stress impact upon multiple levels of protein synthesis.

Sample Metadata Fields

Sex, Compound

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accession-icon E-MEXP-1309
Transcription and translation profiling by array of yeast eap1 mutants
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

One common form of translational control is mediated by proteins that bind to the mRNA 5' cap-binding protein eIF4E. These proteins are collectively called 4E binding proteins (4EBPs). Saccharomyces cerevisiae possesses two 4EBPs that are encoded by non-essential genes called CAF20 and EAP1. To determine the impact of gene deletion on gene expression, we monitored the transcript level and also the translation status for each RNA using cycloheximide to freeze elongating ribosomes in wild-type, caf20 and eap1 cells. Polyribosome fractionation of cell extracts was used to separate highly translated and poorly translated mRNAs that were then separately analyzed.

Publication Title

Identifying eIF4E-binding protein translationally-controlled transcripts reveals links to mRNAs bound by specific PUF proteins.

Sample Metadata Fields

Sex

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accession-icon SRP099312
RNAseq of Adipose tissues in VEGF and VEGFB knockout mouse models
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

VEGF and VEGFB Play Balancing Roles in Adipose Differentiation, Gene Expression and Function

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP194050
mouse brain and lung Transcriptome
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

gene expression study on brain and lung under Dip2a regulation to better understand the role of Dip2a gene during mice brain and lung development.

Publication Title

Large genomic fragment deletions and insertions in mouse using CRISPR/Cas9.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP080054
Homo sapiens strain:HeLa Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Compare m1A levels in the 16S (large) mitochondrial ribosomal RNA in TRMT61B knockdown cells and control.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP100399
A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

we construct a comprehensive mouse transcriptomic BodyMap across 17 tissues of six-weeks old C57BL/6JJcl mice using RNA-seq. We find different expression patterns between protein-coding and non-coding genes. Liver and adrenal gland expressed the least complex transcriptome, whereas testis and ovary harbor more complex transcriptome than other tissues. We report a comprehensive list of tissue-specific genes across 17 tissues. Our study provides a unique resource of mouse gene-expression profiles, which is helpful for further biomedical research.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP072270
Single-cell RNA-Seq in mouse embryos
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To investigate the random X chromosome inactivation in vivo, we used allelic-specific RNA sequencing of single cells in mouse model. The intercross was between two genetically distant strains, C57BL/6 and PWK/Ph.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line

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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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