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accession-icon SRP110156
SYSTEMS ANALYSIS OF THE LIVER TRANSCRIPTOME IN ADULT MALE ZEBRAFISH EXPOSED TO THE PLASTICIZER (2-ETHYLHEXYL) PHTHALATE (DEHP).
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We report the effects of exposure to the endocrine disurptor (2-ethylhexyl) phthalate (DEHP) on transcriptome modification in the livers of in vivo Zebrafish. Our data indicate changes in fatty acid metabolism and insulin resistance, pathways associated with the development of Non-Alcoholic Fatty Liver Disease (NAFLD). Overall design: Examination of transcriptome changes in an in vivo model organism exposed to a common, environmental compound.

Publication Title

Systems Analysis of the Liver Transcriptome in Adult Male Zebrafish Exposed to the Plasticizer (2-Ethylhexyl) Phthalate (DEHP).

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5392
Expression profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex and orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE5388
Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE5389
Adult postmortem brain tissue (orbitofrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls. Orbitofrontal cortex tissue from a cohort of 30 subjects was investigated and the final analysis included 10 bipolar and 11 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE21476
Comparison of Mineralizing Synchronous UMR106-01 cells with UMR106-01 cells treated with Mineralization Inhibitor AEBSF
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

UMR106-01 osteoblastic cells are a model for studying bone mineralization. We have shown that mineralization is temporally synchronized within cultures grown under defined conditions . Cells are plated at time zero and differentiate into osteoblastic phenotype by 64 h later. If an exogenous phosphate source is added to the cultures, the cells form and deposit hydroxyapatite mineral within distinct extracellular supramolecular lipid protein complexes termed biomineralization foci (BMF) starting 12 h later. Mineralization is largely complete by 24 h later (88 h after plating). We have also shown that AEBSF, covalent serine protease inhibitor, blocks mineralization within BMF and inhibits the fragmentation of several proteins related to biomineralization. The present experiment was designed to test whether AEBSF treatment for 12 h has an effect on transcription by UMR106-01 osteoblastic cells. AEBSF is known to inactivate several serine proteases including SKI-1 (site 1, subtilisin kexin protease-1).SKI-1 functions intracellularly to activate transmembrane bound transcription factor precursors releasing the transcriptionally active N-terminal portions to imported into the nucleus. Thus, if AEBSF blocks transcription of mineralization related genes, it would support a role for SKI-1 in gene regulation in mineralizing UMR106-01 osteoblastic cells.

Publication Title

Inhibition of proprotein convertase SKI-1 blocks transcription of key extracellular matrix genes regulating osteoblastic mineralization.

Sample Metadata Fields

Cell line

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accession-icon SRP166099
Single-cell RNA-sequencing of murine melanoma infiltrating immune cells in wild-type and miR-155 T cell conditional knockout mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

miR-155 has recently emerged as an important promoter of antitumor immunity through its functions in T lymphocytes. However, the impact of T cell expressed miR-155 on immune cell dynamics in solid tumors remains unclear. In the present study, we used single-cell RNA-sequencing to define the CD45+ immune cell populations within B16F10 murine melanoma tumors growing in either wild-type (WT) or miR-155 T cell conditional knockout (TCKO) mice at different timepoints. miR-155 was required for optimal T cell activation and reinforced the T cell response at the expense of infiltrating myeloid cells. Further, myeloid cells from tumors growing in TCKO mice were defined by an increase in wound healing genes and a decreased IFNg response gene signature. Finally, we found that miR-155 expression predicted a favorable outcome in human melanoma patients and was associated with a strong immune signature. Moreover, gene expression and histological analysis of the Cancer Genome Atlas (TCGA) data revealed that miR-155 expression also correlates with an immune-enriched subtype in 29 other human solid tumor types. Together, our study provides an unprecedented analysis of the cell types and gene expression signatures by immune cells within experimental melanoma tumors and elucidates miR-155's role in coordinating this dynamic response. Overall design: B16F10 murine melanoma cells expressing ovalbumin model antigen were injected subcutaneously (1e6) into wild-type (C57BL/6) and miR-155 T cell conditional knockout mice (n>4). 9 or 12 days after injection, tumors were pooled in each group, and DAPI(-)CD45(+) live tumor infiltrating immune cells were sorted via flow cytometry. Sorted immune cells were processed for single-cell RNA-sequencing via 10x platform.

Publication Title

MicroRNA-155 coordinates the immunological landscape within murine melanoma and correlates with immunity in human cancers.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE48278
Skeletal muscle gene expression changes with exercise mode, duration and intensity: STRRIDE study
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Skeletal muscle adapts to exercise training of various modes, intensities and durations with a programmed gene expression response. This study dissects the independent and combined effects of exercise mode, intensity and duration to identify which exercise has the most positive effects on skeletal muscle health. Full details on exercise groups can be found in: Kraus et al Med Sci Sports Exerc. 2001 Oct;33(10):1774-84 and Bateman et al Am J Cardiol. 2011 Sep 15;108(6):838-44.

Publication Title

Metabolite signatures of exercise training in human skeletal muscle relate to mitochondrial remodelling and cardiometabolic fitness.

Sample Metadata Fields

Sex, Age, Specimen part, Race, Subject

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accession-icon GSE95529
ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The rediscovery of estrogen receptor (ESR1) mutations in metastatic breast cancer is current clinical scenario. We have modeled the three most frequent ESR1 mutations using stable lentiviral vectors in human breast cancer cell lines, and determined that they confer relative resistance to tamoxifen (Tam) in a cell-type specific manner due to distinct epigenetic changes. Resistance was only observed with concomitant engagement and activation of the insulin growth factor signaling pathway (IGF1R). The ESR1 mutants also exhibited enhanced binding with insulin growth factor receptor beta (IGF1R). The selective estrogen degrader, fulvestrant, significantly reduced the anchorage-independent growth of ESR1 mutant-expressing cells, while the combination treatment with the mTOR inhibitor everolimus, restored Tam sensitivity. Since we detected relatively high frequencies of these three mutations in primary breast tumors, our results suggest that clinical targeted sequencing of both primary and metastatic tumors may be justified and comination therapies considered.

Publication Title

ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE59736
Metabolic regulation of cancer cell proliferation is mediated by reactive oxygen species
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inhibition of cancer cell proliferation by PPARγ is mediated by a metabolic switch that increases reactive oxygen species levels.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE59735
Effect of pioglitazone treatment on gene expression in NCI-H2347 lung cancer cells: time course experiment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Microarray studies was performed to analyze gene expression changes in NCI-H2347 cells after treatment with 50 M pioglitazone for 12hr, 24hr and 48hrs.

Publication Title

Inhibition of cancer cell proliferation by PPARγ is mediated by a metabolic switch that increases reactive oxygen species levels.

Sample Metadata Fields

Specimen part, Cell line

View Samples

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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