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accession-icon GSE45544
Ewing sarcoma compared to a normal body map
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Primary pediatric Ewing sarcoma (ES), one uncharacterized sarcoma as well as primary and well established ES cell lines were compared to probes of different normal tissues

Publication Title

Distinct transcriptional signature and immunoprofile of CIC-DUX4 fusion-positive round cell tumors compared to EWSR1-rearranged Ewing sarcomas: further evidence toward distinct pathologic entities.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE20174
Mouse Lung Response to Stainless Steel and Mild Steel Welding Fume
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina mouseRef-8 v1.1 expression beadchip

Description

A/J mice are genetically predisposed to spontaneous and/or chemically-induced lung tumors while C57BL/6J (B6) mice are resistant. This genetic disparity provides a unique scenario to identify molecular mechanisms associated with the lung response to welding fume at the transcriptome level.

Publication Title

Response of the mouse lung transcriptome to welding fume: effects of stainless and mild steel fumes on lung gene expression in A/J and C57BL/6J mice.

Sample Metadata Fields

Treatment

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accession-icon GSE73888
Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize
  • organism-icon Rattus norvegicus
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP075490
RNA-Seq experiments performed on rat Schwann (S16) cells
  • organism-icon Rattus norvegicus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We utilized RNA-Seq on rat Schwann (S16) cells to determine global gene expression. This information was generated as part of a larger effort to characterize cis-regulatory elements and global gene expression within Schwann cells. To achieve this, we generated RPKM values across two independent biological replicates. This dataset was also used to predict cis-regulatory element function on genes following CRISPR knockout studies. Overall design: Performed two technical replicates of RNA-Seq on two independent biological replicates of S16 cells

Publication Title

A genome-wide assessment of conserved SNP alleles reveals a panel of regulatory SNPs relevant to the peripheral nerve.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE73886
Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize [liver]
  • organism-icon Rattus norvegicus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

There is an ongoing debate on the potential toxicity of genetically modified food. The ability of rodent feeding trials to assess the potential toxicity of these products is highly debated since a 2-year study in rats fed NK603 Roundup-tolerant genetically modified maize, treated or not with Roundup during the cultivation, resulted in anatomorphological and blood/urine biochemical changes indicative of liver and kidney structure and functional pathology.

Publication Title

Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE73884
Transcriptome analysis of liver and kidneys of rats chronically fed a NK603 Roundup-tolerant genetically modified maize [kidney]
  • organism-icon Rattus norvegicus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

There is an ongoing debate on the potential toxicity of genetically modified food. The ability of rodent feeding trials to assess the potential toxicity of these products is highly debated since a 2-year study in rats fed NK603 Roundup-tolerant genetically modified maize, treated or not with Roundup during the cultivation, resulted in anatomorphological and blood/urine biochemical changes indicative of liver and kidney structure and functional pathology.

Publication Title

Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE30929
Whole-transcript expression data for liposarcoma
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

Publication Title

Expression profiling of liposarcoma yields a multigene predictor of patient outcome and identifies genes that contribute to liposarcomagenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE55599
DNA methylation status is more sensitive than gene expression at detecting cancer in prostate core biopsies
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4709
Gcn4p-mediated transcriptional stress response
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The transcriptional data from an integrative analysis of transcriptional and metabolic stress responses that provides a more complete understanding of the mechanisms by which genetic regulatory circuits mediate metabolic phenotype.

Publication Title

Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP131375
Identification of transcriptome and metabolome signatures of fatty liver disease in HepaRG cells exposed to PCB 126 and glyphosate
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We provide here the alterations in gene expression profiles of HepaRG cells, a validated model for cellular steatosis, exposed to three concentration of the polychlorinated biphenyl (PCB) 126, one of the most potent chemical inducing NAFLD. Additionnally, three concentration of the pesticide active ingredient glyphosate were tested. This ultimately suggested sensitive biomarkers of exposure. A gene ontology analysis showed hallmarks of an activation of the AhR receptor by dioxin-like compounds. Our study provides grounds for the development of molecular signatures of fatty liver diseases to rapidly assess toxic effects of chemicals in the HepaRG cell line. Overall design: Differentiated HepaRGTM cells (HPR 116) were purchased from Biopredic International. The cells were kept in the general purpose medium until day 8, when the culture becomes well organized and includes well-delineated trabeculae and many canaliculi-like structures. Three concentrations of the PCB were then tested from day 8 to day 14, in order to cover a wide range of biological effects, starting from low environmental exposures (100 pM) to high concentrations of (1 uM), with an intermediate concentration (10 nM). Three concentrations of glyphosate, or one concentration of the Roundup herbicide (Grand Travaux +) were also tested in the same system.

Publication Title

Comparison of transcriptome responses to glyphosate, isoxaflutole, quizalofop-p-ethyl and mesotrione in the HepaRG cell line.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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