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accession-icon SRP056980
RNA-seq analysis between mouse UPS tumors (KP) and mouse UPS tumors without HIF-2alpha (KPH2)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Purpose: determine RNA expression differences in an unbiased fashion between UPS tumors derived from LSL-KrasG12D;Trp53-/- (KP) mice, and UPS tumors derived from LSL-KrasG12D;Trp53-/-;Epas1-/- (KPH2) mice. Epas1 encodes HIF-2alpha protein. Overall design: RNA-seq was performed on KP (n = 4) and KPH2 (n = 4) derived UPS tumors using Illumina HiSeq 2000.

Publication Title

Epigenetic re-expression of HIF-2α suppresses soft tissue sarcoma growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35396
Selective knockout of NeuroD1 in the retina and pineal gland
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

NeuroD1 encodes a basic helix-loop-helix transcription factor involved in the development of neural and endocrine structures. NeuroD1 mRNA is highly abundant in the adult mammalian pineal gland and exhibits a developmental expression pattern similar to the retina. This is consistent with the common evolutionary origin of pinealocytes and retinal photoreceptors. Pinealocytes and retinal photoreceptors express a shared set of phototransduction genes and submammalian pinealocytes are photosensitive. In contrast to the retina, the pineal gland is a relatively homogeneous structure, composed 95% of pinealocytes. This makes the pineal gland a particularly useful model for understanding photoreceptor cell biology. The loss of NeuroD1 in the retina results in progressive photoreceptor degeneration and the molecular mechanisms underlying this retinal degeneration phenotype remain unknown. Similarly, the role that NeuroD1 plays in the pineal gland is unknown.

Publication Title

NeuroD1 is required for survival of photoreceptors but not pinealocytes: results from targeted gene deletion studies.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE9013
Expression data from side-population sorted putative intestinal stem cells.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

While the existence of intestinal epithelial stem cells (IESCs) has been well established, their study has been limited due to the inability to isolate them. Previous work has utilized side population (SP) sorting of the murine small intestinal mucosa to isolate a viable fraction of cells enriched for putative IESCs. We have used microarray analyses to characterize the molecular features of this potential stem cell population.

Publication Title

Molecular properties of side population-sorted cells from mouse small intestine.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4260
Cumulus-oocyte complex temporal expression
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cumulus-oocyte complexes were isolated a seperate time-points to generate temporal complexes. Targets from two biological replicates at each time point (0h, 8h, 16h post-hCG treatment) were generated and the expression profiles were determined using Affymetrix GeneChip Mouse Genome 430 2.0 Arrays. Comparisons between the sample groups allow the identification of genes with temporal expression patterns.

Publication Title

Gene expression profiles of cumulus cell oocyte complexes during ovulation reveal cumulus cells express neuronal and immune-related genes: does this expand their role in the ovulation process?

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1414
Transcription profiling of hepatocyes from Zucker fa/fa obese rats vs controls
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Analysis of the gene signature of steatosis associated to obesity in hepatocytes of Zucker fa/fa obese rats and their controls; identifying target genes linked to steatosis progression. or Obesity and insulin resistance-associated steatosis can be a non-inflammatory condition affecting hepatocytes or progress to steatohepatitis: a condition that can result in end-stage liver disease. Although molecular events leading to accumulation of lipid droplets in the liver have been identified individually, the complexity of the condition suggested that emergent target would be uncovered by a more comprehensive examination. Then, this study was aimed at establishing a gene signature of steatosis in hepatocytes and at identifying target genes linked to steatosis progression. Using Affymetrix oligonucleotide arrays, we compared transcriptomes of hepatocytes isolated from Zucker "fa/fa" obese rats with three different age-related grades of steatosis with those of their counterpart non-steatotic cells.

Publication Title

A subset of dysregulated metabolic and survival genes is associated with severity of hepatic steatosis in obese Zucker rats.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE33232
Cancer Outlier Gene Profile Sets Elucidate Pathways and Patient-Specific Targets in Head and Neck Squamous Cell Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 126 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Toward Signaling-Driven Biomarkers Immune to Normal Tissue Contamination.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE12267
Gene Expression Profile of Osteogenic Cells Derived from Human Bone Marrow and Trabecular Bone
  • organism-icon Homo sapiens
  • sample-icon 49 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

Gene expression patterns related to osteogenic differentiation of bone marrow-derived mesenchymal stem cells during ex vivo expansion.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47018
Gene Expression Profiling in Polycythemia Vera (PV)
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To define the molecular abnormalities at the stem cell level in polycythemia vera (PV), we examined global gene expression in circulating CD34+ cells from 19 JAK2 V617F-positive PV patients and 6 normal individuals using Affymetrix oligonucleotide microarray technology. We observed that CD34+ cell gene expression not only differed between the PV patients and the normal controls but also between men and women PV patients. Based on these gender-specific differences in gene expression, we were able to identify 102 genes differentially regulated concordantly by both men and women, which likely represent a core set of genes whose dysregulation is involved in the pathogenesis of PV. Gene expression was verified by Q-PCR of patient CD34+ cell RNA. Using the 102 gene set and unsupervised hierarchical clustering, the 19 PV patients could be separated in two groups that differed significantly with respect to hemoglobin level, thrombosis frequency, splenomegaly, splenectomy or chemotherapy exposure, leukemic transformation and overall survival. These results were confirmed using top scoring pairs, which identified a different set of 29 genes that independently segregated the 19 patients into the same two clinical groups: those with an aggressive form of the disease (7 patients), and those with an indolent form (12 patients).

Publication Title

Two clinical phenotypes in polycythemia vera.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE19605
Specificity for the Nature of Inflammation in Lung Cancer Promotion in Mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

A large amount of epidemiologic data supports a role for chronic inflammation in epithelial carcinogenesis. In the lung, several studies have found that smokers with chronic obstructive pulmonary disease (COPD), an inflammatory disease of the airways and alveoli, have an increased risk of lung cancer (1.3 to 4.9 fold) compared to smokers without COPD. We have also shown that COPD-like airway inflammation induced by an aerosolized lysate of non-typeable Hemophilus influenzae (NTHi) promotes lung cancer in a Clara cell-targeted K-ras mutant mouse model (CC-LR) of lung cancer. In contrast, existing epidemiologic data suggest that allergic inflammation of the airways may be protective against lung cancer. We tested this association in a mouse model of allergic airway inflammation. CC-LR mice were sensitized to ovalbumin by intraperitoneal injection weekly for two weeks, then challenged for 30 min to an aerosol of ovalbumin in 0.9% saline weekly for eight weeks. This resulted in eosinophilic lung inflammation associated with increased levels of T helper 2 (Th2) cytokines and mucous metaplasia of airway epithelium, similar to what is seen in asthma patients. However, consistent with epidemiologic data, this type of inflammation did not result in any significant differences in lung surface tumor number (22 3 in OVA exposed vs 26 6 in control mice). We conclude that asthma-like (Th2) inflammation does not promote lung carcinogenesis in a Ras-initiated background, and demonstrate a clear specificity for the nature of inflammation in lung cancer promotion. These findings will assist in determination of the essential cells and signaling events in lung cancer promotion by inflammation.

Publication Title

Interleukin 6, but not T helper 2 cytokines, promotes lung carcinogenesis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE6966
Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional profiling of bipotential embryonic liver cells to identify liver progenitor cell surface markers.

Sample Metadata Fields

Specimen part, Cell line

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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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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