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accession-icon GSE15398
Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For more than a decade, microarrays have been a powerful and widely used tool to explore the transcriptome of biological systems. However, the amount of biological material from cell sorting or laser capture microdissection is much too small to perform microarray studies. To address this issue, RNA amplification methods have been developed to generate sufficient targets from picogram amounts of total RNA to perform microarray hybridisation. In this study, four commercial protocols for amplification of picograms amounts of input RNA for microarray expression profiling were evaluated and compared. The quantitative and qualitative performances of the methods were assessed. Microarrays were hybridised with the amplified targets and the amplification protocols were compared with respect to the quality of expression profiles, reproducibility within a concentration range of input RNA, and sensitivity.

Publication Title

Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5664
gene profiling in carcinoma cell during EMT
  • organism-icon Rattus norvegicus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Modulation of several waves of gene expression during FGF-1 induced Epithelial-mesenchymal transition of carcinoma cells . In vitro FGF-1 induced EMT study using NBTII rat bladder carcinoma cells

Publication Title

Modulation of several waves of gene expression during FGF-1 induced epithelial-mesenchymal transition of carcinoma cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65216
Expression profiling of breast cancer samples from Institut Curie (Maire cohort)
  • organism-icon Homo sapiens
  • sample-icon 351 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65212
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) -- BrainArray CDF
  • organism-icon Homo sapiens
  • sample-icon 176 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65194
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) --Affy CDF
  • organism-icon Homo sapiens
  • sample-icon 175 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of 130 breast cancer samples (41 TNBC; 30 Her2; 30 Luminal B and 29 Luminal A), 11 normal breast tissue samples and 14 TNBC cell lines.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE65238
Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cell lines.
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analyzed the transcriptome of two different triple negative breast cancer (TNBC) cell lines to define a comprehensive list of Wnt target genes. Cells were treated with Wnt3a for 6h, 12h or 24h. We found up-regulated and down-regulated genes in response to Wnt3a treatment. They are involved in the Wnt pathway itself, and also in TGF, p53 and Hedgehog pathways. Thorough characterization of these novel potential Wnt target genes may reveal new regulators of the canonical Wnt pathway. The comparison of our list of Wnt target genes with those published in other cellular contexts confirms the notion that Wnt target genes are tissue-, cell line- and treatment-specific.

Publication Title

Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE3303
Gene Expression Profiles of Intact and Regenerating Zebrafish Retina
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Purpose: Investigate the molecular determinants of retinal regeneration in adult vertebrates by analyzing the gene expression profiles of control and post-lesion retina of adult zebrafish, a system that regenerates following injury.

Publication Title

Gene expression profiles of intact and regenerating zebrafish retina.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20565
Primary and secondary ovarian tumors
  • organism-icon Homo sapiens
  • sample-icon 140 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The distinction between primary and secondary ovarian tumors may be challenging for pathologists.

Publication Title

A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE33100
HIF- and non-HIF-Regulated Hypoxic Responses Require the Estrogen-Related Receptor in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Low-oxygen tolerance is supported by an adaptive response that includes a coordinate shift in metabolism and the activation of a transcriptional program that is driven by the hypoxia-inducible factor (HIF) pathway. The precise contribution of HIF-1 in the adaptive response, however, has not been determined. Here we investigate how HIF-1 influences hypoxic adaptation throughout Drosophila development. We find that hypoxic-induced transcriptional changes are comprised of HIF-dependent and HIF-independent pathways that are distinct and separable. We show that normoxic set-points of carbohydrate metabolites are significantly altered in dHIF mutants and that these animals are unable to mobilize glycogen in hypoxia. Furthermore, we find that the estrogen-related receptor (dERR), which is a global regulator of aerobic glycolysis in larvae, is required for a competent hypoxic response. dERR binds to dHIF and participates in the HIF-dependent transcriptional program in hypoxia. In addition, dERR acts in the absence of dHIF in hypoxia and a significant portion of HIF-independent transcriptional responses can be attributed to dERR actions, including upregulation of glycolytic transcripts. These results indicate that competent hypoxic responses arise from complex interactions between HIF-dependent and -independent mechanisms, and that dERR plays a central role in both of these programs.

Publication Title

HIF- and non-HIF-regulated hypoxic responses require the estrogen-related receptor in Drosophila melanogaster.

Sample Metadata Fields

Specimen part

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accession-icon GSE13691
Long-term proteasomal inhibition in transgenic mice by UBB+1 expression results in dysfunction of central respiration control reminiscent of brainstem neuropathology in Alzheimer patients
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Aging and neurodegeneration are often accompanied by a functionally impaired ubiquitin-proteasome system (UPS). In tauopathies and polyglutamine diseases a mutant form of Ubiquitin B, UBB+1, accumulates in disease-specific aggregates. UBB+1 mRNA is generated at low levels in vivo during transcription from the Ubiquitin B locus by molecular misreading. The resulting mutant protein has been shown to inhibit proteasome function. To elucidate causative effects and neuropathological consequences of UBB+1 accumulation, we used a UBB+1 expressing transgenic mouse line, that models UPS inhibition in neurons and exhibits behavioral phenotypes reminiscent of Alzheimers disease (AD). In order to reveal affected organs and functions, young and aged UBB+1 transgenic mice were comprehensively phenotyped for more than 240 parameters. This revealed unexpected changes in spontaneous breathing patterns and an altered response to hypoxic conditions. Our findings point to a central dysfunction of respiratory regulation in transgenic mice in comparison to wildtype littermate mice. Accordingly, UBB+1 was strongly expressed in brainstem regions of transgenic mice controlling respiration. These regions included, for example, the medial part of the nucleus of the tractus solitarius and the lateral subdivisions of the parabrachial nuclei. In addition, UBB+1 was also strongly expressed in these anatomical structures of AD patients (Braak stage #6) and was not expressed in non-demented controls. We conclude that long-term UPS inhibition due to UBB+1 expression causes central breathing dysfunction in a transgenic mouse model of AD. The UBB+1 expression pattern in humans is consistent with the contribution of bronchopneumonia as a cause of death in AD patients.

Publication Title

Long-term proteasomal inhibition in transgenic mice by UBB(+1) expression results in dysfunction of central respiration control reminiscent of brainstem neuropathology in Alzheimer patients.

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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