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accession-icon GSE92988
Expression data from microRNA-520f transfected PANC-1 pancreas carcinoma cells.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

MicroRNA-520f regulates EMT, as it activates CDH1 (mRNA) and E-cadherin (protein) expression, and it suppresses tumor cell invasion. We have characterized miR-520f target genes through whole genome transcriptional profiling of miRNA transfected pancreas cancer cells (PANC-1).

Publication Title

miRNA-520f Reverses Epithelial-to-Mesenchymal Transition by Targeting <i>ADAM9</i> and <i>TGFBR2</i>.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE50607
Gestational food-restriction but not nicotine exposure regulates gene expression in the striatum of adolescent rats
  • organism-icon Rattus norvegicus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

We used microarrays to determine the effect of prenatal nicotine exposure on gene expression profiles in the striatum of adolescent rats. We found a number of immediate early genes to be differentially expressed due to food-restriction.

Publication Title

Long-term effects of gestational nicotine exposure and food-restriction on gene expression in the striatum of adolescent rats.

Sample Metadata Fields

Specimen part

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accession-icon GSE14844
Reliability and stability of individual differences in gene expression
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Studying the causes and correlates of natural variation in gene expression in healthy populations assumes that individual differences in gene expression can be reliably and stably assessed across time. However, this is yet to be established.

Publication Title

Assessing individual differences in genome-wide gene expression in human whole blood: reliability over four hours and stability over 10 months.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE9594
Chronic constriction injury in cholecystokinin b receptor (Cckbr)-deficient mice
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The cholecystokinin B (2) receptor knockout (Cckbr KO) protects against allodynia induced by chronic constriction injury (CCI). The mechanism of this phenomenon is unknown, but must involve persistent changes in pain modulation and/or inflammatory pathways. We performed a gene expression study in two brain areas (midbrain and medulla) after surgical induction of CCI in Cckbr KO and wild-type (wt) control mice. The patterns of gene expression differences suggest that the immune system is activated in higher brain structures following CCI in the wt mice. The strongest differences include genes related to the MAPK pathway activation and cytokine production. In Cckbr KO mice this expressional pattern was absent. In addition, we found significant elevation of the Toll-like receptor 4 (Tlr4) in the supraspinal structures of the mice with deleted Cckbr compared to wt control mice. This up-regulation is most likely induced by the deletion of Cckbr. We suggest that there is a functional deficiency in the Tlr4 pathway which disables the development of neuropathic pain in Cckbr KO mice. Indeed, real time PCR analysis detected a CCI-induced upregulation of Tlr4 and Il1b expression in the lumbar region of wt but not Cckbr KO mice. Gene expression profiling indicates that elements of the immune response are not activated in Cckbr KO mice following CCI. Our findings suggest that there may be a role for CCK in the regulation of innate immunity.

Publication Title

Gene expression profiling reveals upregulation of Tlr4 receptors in Cckb receptor deficient mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28403
Integrative genomic, transcriptomic and RNAi analysis indicates a potential oncogenic role for FAM110B in castration-resistant prostate cancer.
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Castration-resistant prostate cancer (CRPC) represents a therapeutic challenge for current medications.

Publication Title

Integrative genomic, transcriptomic, and RNAi analysis indicates a potential oncogenic role for FAM110B in castration-resistant prostate cancer.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line, Treatment, Race

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accession-icon GSE5429
Hippocampal gene expression profiling across 8 inbred strains: towards understanding the molecular basis of behaviour
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Mouse inbred strains differ in many aspects of their phenotypes, and it is known that gene expression does so too. This gives us an opportunity to isolate the genetic aspect of variation in expression and compare it to other phenotypic variables. We have investigated these issues using an eight-strain expression profile comparison with four replicates per strain on Affymetrix MGU74av2 GeneChips focusing on one well-defined brain tissue (the hippocampus). We identified substantial strain-specific variation in hippocampal gene expression, with more than two hundred genes showing strain differences by a very conservative criterion. Many such genetically driven differences in gene expression are likely to result in functional differences including differences in behaviour. A large panel of inbred strains could be used to identify genes functionally involved in particular phenotypes, similar to genetic correlation. The genetic correlation between expression profiles and function is potentially very powerful, especially given the current large-scale generation of phenotypic data on multiple strains (the Mouse Phenome Project). As an example, the strongest genetic correlation between more than 200 probe sets showing significant differences among our eight inbred strains and a ranking of these strains by aggression phenotype was found for Comt, a gene known to be involved in aggression.

Publication Title

Hippocampal gene expression profiling across eight mouse inbred strains: towards understanding the molecular basis for behaviour.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17362
miRNA expression, mRNA expression upon miRNA reconstitution, and direct mRNA target identification in prostate cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22979
Profiling of direct mRNA targets of miR-130a, miR-203 and miR-205 in prostate cancer cell line LNCaP
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Micro RNAs (miRNAs) miR-130a, miR-203 and miR-205 are jointly downregulated in prostate cancer and act as repressors of AR-signaling. MiRNAs are small non-coding RNAs that regulate the expression of specific mRNA targets mainly by translational repression, mRNA deadenylation or cleavage. Reconstitution of these lost miRNAs in the LNCaP PCa cell line cause morphology changes, growth arrest, and apoptosis, increasing when the miRNAs were co-expressed. This series identifies direct targets of miR-130a, miR-203, and miR-205 by AGO2-RNA co-immunoprecipitation as described by (Beitzinger et al. 2007) upon miRNA reconstitution in LNCaP cells and analyzing AGO2-bound mRNAs using Affymetrix Genechips. Relative levels of AGO2 bound versus total RNA expression were compared between miRNA reconstituted and miR-scr transfected samples.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE17315
mRNA expression upon reconstitution of miR-130a, miR-203 and miR-205 in prostate cancer cell line LNCaP
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Micro RNAs (miRNAs) miR-130a, miR-203 and miR-205 are jointly downregulated in prostate cancer and act as repressors of AR-signaling. MiRNAs are small non-coding RNAs that regulate the expression of specific mRNA targets mainly by translational repression, mRNA deadenylation or cleavage. Reconstitution of these lost miRNAs in the LNCaP PCa cell line cause morphology changes, growth arrest, and apoptosis, increasing when the miRNAs were co-expressed. Bioinformatic target prediction, mRNA expression and protein expression analysis upon overexpression of these miRNAs congruently identified targets known to be overexpressed in PCa and to be involved in AR trans-activation. This series profiles loss in mRNA expression in LNCaP cells transfected with one of the three miRNAs miR-130a, miR-203 and miR-205 compared to LNCaP cells transfected with a scramble miRNA.

Publication Title

MiR-130a, miR-203 and miR-205 jointly repress key oncogenic pathways and are downregulated in prostate carcinoma.

Sample Metadata Fields

Cell line

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accession-icon GSE40586
Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of present study was to describe the genetic pathways activated during the community acquired bacterial meningitis (BM) by using genome-wide RNA expression profiling combined with functional annotation of transcriptional changes. We included 21 patients with BM hospitalized in 2008. The control group consisted of 18 healthy subjects. The RNA was extracted from whole blood, globin mRNA was depleted and gene expression profiling was performed with GeneChip Human Gene 1.0 ST Arrays enabling the analysis of 28,869 genes. Gene expression profile data were analyzed using Bioconductor packages and Bayesian modeling. Functional annotation of the enriched gene sets was used to define changed genetic networks. We also analyzed if the gene expression profile depends on the clinical course and outcome. In order to verify the genechip results, we chose ten functionally relevant genes with high statistical significance (CD177, IL1R2, IL18R1, IL18RAP, OLFM4, TLR5, CPA3, FCER1A, IL5RA, IL7R) and performed quantitative real-time (qRT) PCR.We identified the significant differences at p values of <0.05 in 8569 genes and after False Discovery Rate (FDR) correction, total of 5500 genes remained significant at p value of <0.01. Quantitative RT-PCR confirmed differential expression for selected genes. Functional annotation and network analysis indicated that most of the genes were related to activation of humoral and cellular immune responses (enrichment score 43). Those changes were found in adults and in children with BM compared to the healthy controls. Gene expression profile didnt depend on the clinical outcome, but there was very strong influence by the type of the pathogen. This study demonstrates a strong functional genomic evidence of the over-active immune response during bacterial meningitis. This hyperactive response possibly explains the complicated clinical course of this disease.

Publication Title

Peripheral blood RNA gene expression profiling in patients with bacterial meningitis.

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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