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accession-icon GSE54852
Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

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accession-icon GSE54850
Dynamic mRNA gene expression during a nutritional downshift from glutamine to proline
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a nutritional downshift from glutamine to proline. Glutamine and proline were initially together in the media, with cells consuming exlusively glutamine (proline utilization inhibited due to nitrogen catabolite repression). The concentration of glutamine was frequently evaluated at-line, and the moment at which glutamine was not detected anymore is referred to as the time of the shift.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

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accession-icon GSE54851
Dynamic mRNA gene expression following a rapamycin treatment
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a rapamycin treatment (rapamycin-induced downshift). Rapamycin was added to yeast cells growing exponentially on glutamine as sole nitrogen source.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE54844
Dynamic mRNA gene expression during a nutritional upshift from proline to glutamine
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a nutritional upshift from proline to glutamine. Glutamine was added to yeast cells growing exponentially on proline as the sole nitrogen source.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE147383
Gene expression data for human intervertebral discs
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The human intervertebral disc (IVD) is a complex and dynamic structure that functions to provide spinal stability, mobility and flexibility. It comprises three main compartments: 1) a water-rich central compartment called the nucleus pulposus (NP), which is enveloped by 2) the annulus fibrosus (AF) and sandwiched between 3) two cartilaginous endplates (EP) from which the IVD gains its nutrition and provides a means to get rid of metabolic waste.

Publication Title

DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE16533
Expression data from lenses triply deficient for E2F1, E2F2, and E2F3 transcription factors
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The E2F family consists of transcriptional repressors and activators that control cell proliferation. In the classic paradigm of cell cycle regulation, the three activators, E2F1, E2F2 and E2F3, are invariably depicted as the final components of a CDK/Rb signaling cascade that executes the transcriptional program necessary to commit cells to enter S phase.

Publication Title

Cell proliferation in the absence of E2F1-3.

Sample Metadata Fields

Specimen part

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accession-icon SRP019272
Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits
  • organism-icon Homo sapiens
  • sample-icon 362 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The genetics of messenger RNA expression has been extensively studied in humans and other organisms, but little is known about genetic factors contributing to microRNA (miRNA) expression. We examined natural variation of miRNA expression in adipose tissue in a population of 200 men who have been carefully characterized for metabolic syndrome phenotypes as part of the METSIM study. We genotyped the subjects using high-density SNP microarrays and quantified the mRNA abundance using genome-wide expression arrays and miRNA abundance using next generation sequencing. We reliably quantified 356 miRNA species that were expressed in human adipose tissue, a limited number of which made up most of the expressed miRNAs. We mapped the miRNA abundance as an expression quantitative trait and determined cis regulation of expression for 9 of the miRNAs and of the processing of one miRNA (miR-28). The degree of genetic variation of miRNA expression was substantially less than that of mRNAs. For the majority of the miRNAs, genetic regulation of expression was independent of the host mRNA transcript expression. We also showed that for 108 miRNAs, mapped reads displayed widespread variation from the canonical sequence. We found a total of 24 miRNAs to be significantly associated with metabolic syndrome traits. We suggest a regulatory role for miR-204-5p which was predicted to inhibit ACACB, a key fatty acid oxidation enzyme that has been shown to play a role in regulating body fat and insulin resistance in adipose tissue. Overall design: miRNA expression profiling of adipose tissue isolated from 200 humans

Publication Title

Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE65947
Microarray gene expression analysis of thyroid hormone receptor in mice liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Microarray gene expression was performed on mouse livers. Gene expression profiles were studies on 3 PTU treated and 3 PTU followed by T3 treated mice.

Publication Title

Transcriptional activation by the thyroid hormone receptor through ligand-dependent receptor recruitment and chromatin remodelling.

Sample Metadata Fields

Specimen part

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accession-icon GSE63158
Gene expression and alternative splicing in pancreatic ductal adenocarcinoma (PDAC)
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st), Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE56560
Gene expression and alternative splicing in pancreatic ductal adenocarcinoma (PDAC) [gene level]
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Alternative splicing is a key event to human transcriptome and proteome diversity and complexity. Recent evidence suggests that pancreatic cancer might possess particular patterns of splice variation that influence the function of individual genes contributing to tumour progression in this disease. The identification of new pancreatic cancer-associated splice variants would offer opportunities for novel diagnostics and potentially also represent novel therapeutic targets.

Publication Title

A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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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