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accession-icon GSE61128
Expression data from aortic smooth muscle cells (AoSMC) and myofibroblasts (FB) isolated respectively from the ascending aortas and the aortic valves of bicuspid (BAV) and tricuspid aortic valve (TAV) patients
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

AoSMC and FB were cultured and exposed to transforming growth factor beta1 (TGFb1) prior to the exon array analysis

Publication Title

Aneurysm development in patients with a bicuspid aortic valve is not associated with transforming growth factor-β activation.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE26155
Advanced Study of Aortic Pathology (ASAP)
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

BACKGROUND: The vast majority of thoracic aortic aneurysms (TAAs) are observed either together with a bicuspid aortic valve (BAV), a common congenital disorder, or in idiopathic cases such as patients with a normal tricuspid aortic valve (TAV). The main objective of our study was to identify shared and unique gene expression properties underlying the aortic dilation of BAV and TAV patients.

Publication Title

Unraveling divergent gene expression profiles in bicuspid and tricuspid aortic valve patients with thoracic aortic dilatation: the ASAP study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34234
Microarrays analysis of anti-Enterovirus 71 activity of Heparin
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We have previously shown that Heparin (Hep) significantly inhibited Enterovirus 71 (EV71) infection and binding in both Vero and a human neural cell line, SK-N-SH, in vitro. Therefore, in this study we intended to gain insight into the cellular and molecular mechanisms of action of Hep against clinical EV71 infection in neural cells. Instead of stating a long list of gene functions and pathways, we tried to select for EV71-induced genes that were exclusively affected by antiviral activity of Hep through a multi-level comparison and characterization.

Publication Title

Global impact of heparin on gene expression profiles in neural cells infected by enterovirus 71.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE21942
Expression data from peripheral blood mononuclear cells in multiple sclerosis patients and controls
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple sclerosis (MS) is a neurodegenerative disease with a presumed autoimmune component. Expression profiling in immune cells can therefore be used in order to identify genes and pathways involved in MS pathogenesis.

Publication Title

Systematic review of genome-wide expression studies in multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE13911
Expression data from primary gastric tumors (MSI and MSS) and adjacent normal samples
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gastric cancers with mismatch repair (MMR) inactivation are characterised by microsatellite instability (MSI). In this study, the transcriptional profile of 38 gastric cancers with and without MSI was analysed.

Publication Title

Genome-wide expression profile of sporadic gastric cancers with microsatellite instability.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12868
ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs.

Publication Title

ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE103835
The olfactory molecular snapshot in aged Tg2576 Alzheimers disease mouse model
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

Olfaction is often deregulated in Alzheimers disease (AD) patients, being also impaired in transgenic Tg2576 AD mouse model, which overexpress the Swedish mutated form of human amyloid precursor protein (APP). However, little is known about the molecular mechanisms that accompany the neurodegeneration of olfactory structures in Tg2576 mice. For that, we have applied proteome- and transcriptome-wide approaches to probe molecular disturbances in the olfactory bulb (OB) dissected from aged Tg2576 mice (18 months of age) respect to age matched wild-type (WT) littermates.

Publication Title

Network-Driven Proteogenomics Unveils an Aging-Related Imbalance in the Olfactory IκBα-NFκB p65 Complex Functionality in Tg2576 Alzheimer's Disease Mouse Model.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE47052
COUP-TFII regulates human endometrial stromal genes involved in inflammation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although the function of COUP-TFII in uterine decidualization has been described in mice, its role in the human uterus remains unknown.To interrogate the role of COUP-TFII in human endometrial function, we utilized a siRNA-mediated loss of function approach in primary human endometrial stromal cells.

Publication Title

COUP-TFII regulates human endometrial stromal genes involved in inflammation.

Sample Metadata Fields

Specimen part

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accession-icon SRP166449
RNA-Seq analysis of skin from bleomycin induced scleroderma murine models treated with EHP-101 or Ajulemic acid
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Several lines of evidence have shown that the endocannabinoid system (ECS) may play a role in the pathophysiology of systemic sclerosis (SSc). Thereby, structurally different dual PPAR?/CB2 agonists such as VCE-004.8 and Ajulemic acid (AjA) have been shown to alleviate skin fibrosis and inflammation in experimental models of SSc. Since both compounds are currently being tested in humans, we were interested to identify similarities and differences in a murine model of SSc. One method available to assess this is the pharmacotranscriptomic signature of the individual compounds. To analyze the pharmacotranscriptomic signature, we used RNA-Seq to analyze the skin gene expression changes from bleomycin-induced fibrosis in mice treated orally with either AjA or EHP-101, a lipidic formulation of VCE-004.8. While both compounds prevented the upregulation of a common group of genes involved in the inflammatory and fibrotic components of the disease and the pharmacotranscriptomic signatures were similar for both compounds in some pathways, we found key differences between the compounds in several functional groups, including genes related the hypoxia, interferon-a and interferon-? response. Additionally, we found 28 specific genes with translation potential by comparing our results with a list of intrinsic human scleroderma genes. Inmunohistochemical analysis revealed that both EHP-101 and AjA prevented bleomycin-induced skin fibrosis, collagen accumulation, and TNC and VCAM expression. However, only EHP-101 normalized the reduced expression of vascular CD31, CD34 and Von Willebrand factor markers, which parallels skin fibrosis, while AjA did not affect these markers. Finally, clear differences were also found in the plasmatic biomarker analysis, in which we found that EHP-101, but not AjA, enhanced the expression of some factors related to angiogenesis and vasculogenesis. Altogether the results indicate that dual PPAR?/CB2 agonists qualify as a novel therapeutic approach for the treatment of SSc and other fibrotic diseases as well, and that EHP-101 has unique mechanisms of action related to the pathophysiology of SSc which could be beneficial in treatment of this complex disease with no current therapeutic options. Overall design: RNA-Seq profiles were generated for six- to eight-week-old female BALB/c mice in four conditions: Control, Bleomycin, Bleomycin + EHP-101 treatment and Bleomycin + Ajulemic acid treatment. Please note that the "raw_counts_newsamples.txt" includes raw counts obtained from featureCounts for the samples included in this entry and the "raw_counts_merged.txt" includes raw counts obtained from merging the counts of the samples from this entry with the counts of the samples from the GSE115503 entry.

Publication Title

Cannabinoid derivatives acting as dual PPARγ/CB2 agonists as therapeutic agents for systemic sclerosis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE52892
SOX11-positive and SOX11-knockdown xenograft derived tumor Gene Expression Profilings
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL). We have recently demonstrated SOX11 tumorigenic potential in vivo by showing a significant reduction on tumor growth of SOX11-knockdown MCL cells in xenograft experiments, confirming the clinical observations that SOX11 may play an important role in the aggressive behavior of MCL (Vegliante et al., 2013). However, the specific mechanisms regulated by SOX11 that promote the oncogenic and rapid tumor growth of aggressive MCL still remain to be elucidated. To further characterize the potential oncogenic mechanisms regulated by SOX11 in MCL, we have analyzed the GEP derived from the xenograft SOX11-positive and knockdown xenograft derived tumors.

Publication Title

SOX11 promotes tumor angiogenesis through transcriptional regulation of PDGFA in mantle cell lymphoma.

Sample Metadata Fields

Specimen part

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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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