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accession-icon GSE59630
Longitudinal Gene Expression Analysis in Human Brain identifies biological processes underlying neuropathology in Down Syndrome
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Trisomy 21 (Ts21) or Down syndrome (DS) is the most common genetic cause of intellectual disability. To investigate the consequences of Ts21 on human brain development, we have systematically analyzed the transcriptome of dorsolateral prefrontal cortex (DFC) and cerebellar cortex (CBC) using exon array mapping in DS and matched euploid control brains spanning from prenatal development to adulthood. We identify hundreds of differentially expressed (DEX) genes in the DS brains, many of which exhibit temporal changes in expression over the lifespan. To gain insight into how these DEX genes may cause specific DS phenotypes, we identified functional modules of co-expressed genes using several different bioinformatics approaches, including WGCNA and gene ontology analysis. A module comprised of genes associated with myelination, including those dynamically expressed over the course of oligodendrocyte development, was amongst those with the great levels of differential gene expression. Using Ts65Dn mouse line, the most common rodent model of DS, w e observed significant and novel defects in oligodendrocyte maturation and myelin ultrastructure; establishing a correlative proof-of-principle implicating myelin dysgenesis in DS. Thus, examination of the spatio-temporal transcriptome predicts specific cellular and functional events in the DS brain and is an outstanding resource for determining putative mechanisms involved in the neuropathology of DS.

Publication Title

Down Syndrome Developmental Brain Transcriptome Reveals Defective Oligodendrocyte Differentiation and Myelination.

Sample Metadata Fields

Sex, Disease, Race

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accession-icon GSE49543
Novel approach to select genes from RMA normalized microarray data using functional hearing tests in aging mice.
  • organism-icon Mus musculus
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Presbycusis age-related hearing loss is the number one communicative disorder of our aged population. Here we analyzed gene expression for a set of GABA receptors in the cochlea of aging CBA mice using the Affymetrix GeneChip MOE430A. Functional phenotypic hearing measures distortion-product otoacoustic emission (DPOAE) amplitudes (four age groups) were made. The gene expression changes from RMA normalized microarray data (40 replicates) were first subjected to one-way ANOVA, and then linear regression was performed. In addition, the log signal ratio was converted to fold change, and selected gene expression changes were confirmed by relative real-time PCR. Major findings: expression of GABA-A receptor subunit 6was upregulated with age and hearing loss, whereas subunit 1 was repressed. In addition, GABA-A receptor associated protein like-1 and GABA-A receptor associated protein like-2 were strongly downregulated with age and hearing impairment. Lastly, gene expression measures were correlated with pathway/network relationships relevant to the inner ear using Pathway Architect, to identify key pathways consistent with the gene expression changes observed.

Publication Title

Novel approach to select genes from RMA normalized microarray data using functional hearing tests in aging mice.

Sample Metadata Fields

Sex

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accession-icon GSE49522
Expression changes in IC GABA receptors in the auditory midbrain of young adult and aging presbycusis mice.
  • organism-icon Mus musculus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We performed a microarray analysis of auditory midbrain (inferior colliculus, IC) mRNA from young adult CBA mice (controls) with good hearing, middle aged (MA) with good hearing, and old mild (MP) and severe (SP) presbycusic CBA mice. Fold Change data derived from RMA normalization revealed that the overall GABA receptor alpha 6 expression profiles for MA, MP and SP were down-regulated relative to young adult controls with good hearing. Relative real-time PCR for five GABA receptors confirmed this age-related down regulation quantitatively. Functional hearing data: Auditory Brainstem Responses (ABR) enriched the analysis to select the probe-sets that changed with age and hearing loss by the linear regression best-fit line model technique. GABA receptor genotype-phenotype correlations with auditory functional data indicated that GABA-receptor subtypes are under expressed in SP mice. Hierarchical clustering (HC) analyses yielded statistical significance of normalized GeneChip data Real-time PCR showed that Gabra6, GABA B receptor 1 (Gabbr1), and Gaba transporter protein Slc32a1 may be involved in physiological changes that occur in age-related hearing loss.

Publication Title

No associated publication

Sample Metadata Fields

Sex

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accession-icon GSE47520
Genomewide analysis of PTEN deletion in mouse lung epithelial cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Triple transgenic mice harboring a conditional Pten allele were developed and Pten was conditionally deleted in vivo from the lung epithelial cells using the doxycycline dependent Cre/LoxP approach. Microarray analysis of lung RNA isolated from Pten-deleted lung epithelial cells (Pten/) and control mice was performed to identify potential PTEN responsive genes.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE35336
Analysis of the sigS regulon
  • organism-icon Staphylococcus aureus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

The sigS gene in S. aureus encodes an ECF sigma factor. ECF sigma factors bind to core-RNA polymerase and redirecting promoter recognition to coordinate gene expression.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26903
Microarray analysis of gene expression of ovarian cancer cells treated with 1,25-dihydroxyvitamin D3
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

To profile the changes in the pattern of gene expression in human OCa cells induced by 1,25(OH)2D3, OVCAR3 cells were treated with 0.1 pM 1,25(OH)2D3 for 0, 8, 24 and 72 h. The cells were harvested, RNA was extracted, and Affmetrix microarrays were hybridized.

Publication Title

Suppression of death receptor-mediated apoptosis by 1,25-dihydroxyvitamin D3 revealed by microarray analysis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE7400
Hematopoietic stem cell mobilization with G-CSF (gene expression profiling)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Granulocyte-colony stimulating factor (G-CSF) is used to boost granulocyte counts in immunocompromised patients, but its effects on the immune system may be counter productive. We tested the hypothesis that G-CSF mobilized peripheral blood stem cell (PBSC) products are immunologically down regulated based on gene microarray analysis.

Publication Title

Hematopoietic stem cell mobilization with G-CSF induces innate inflammation yet suppresses adaptive immune gene expression as revealed by microarray analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7510
Acute graft-versus-host disease (gene expression profiling)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Allogeneic hematopoietic stem cell transplantation (HSCT) is the treatment of choice for high-risk hematological malignancies, yet a major complication associated with this therapy is acute graft-versus-host disease (GVHD). Despite a well-defined pathophysiological mechanism, there are no definitive markers for predicting acute GVHD development or progression to advanced stages. In the current study, we enrolled four acute GVHD and four acute GVHD-free recipients of allogeneic HSCT and collected peripheral blood just prior to onset of clinical acute GVHD for analysis on Affymetrix GeneChip Human Genome U133 Plus 2.0 microarrays. We noted significant differences in expression of 1,658 genes between control and acute GVHD patients, based on an analysis of covariance (ANCOVA) by type of transplant, a pooled error estimate, and a false discovery rate (FDR) of 10%. In conclusion, we offer the first report of a preliminary molecular signature of acute GVHD in allogeneic HSCT patients.

Publication Title

A preliminary gene expression profile of acute graft-versus-host disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE87905
Patterns of Arabidopsis gene expression in the face of hypobaric stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE87904
Patterns of Arabidopsis gene expression in the face of hypobaric stress [Experiment 2]
  • organism-icon Arabidopsis thaliana
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Extreme hypobaria is a novel abiotic stress that is outside the evolutionary experience of terrestrial plants. In natural environments, the practical limit of atmospheric pressure experienced by higher plants is about 50 kPa or ~.5 atmospheres; a limit that is primarily imposed by the combined stresses inherent to high altitude conditions of terrestrial mountains. However, in highly controlled chambers and within extra-terrestrial greenhouses the atmospheric pressure component can be isolated from other high altitude stresses such as temperature, desiccation, and even hypoxia. In addition, hypobaria can be carried to extremes beyond what is possible in terrestrial biomes, and explored as a single variable in the examination of plant responses to novel stress. Previous studies have shown that plants adjust to hypobaric stress by differentially expressing suites of genes in unique combinations that are not equal to the dissected components of hypobaric stress (such as hypoxia and desiccation). Here we examine the organ-specific progression of transcriptional strategies for physiological adaptation to hypobaric stress over time. An abrupt transition from a near-sea level pressure of 97 kPa to only 5 kPa is accompanied by the differential expression of hundreds of genes. However, the transcriptomic reaction to hypobaric conditions lying between these two extremes reveals complex, organ-specific responses that vary over a time course of hypobaric exposure, and that are also not linear with respect to a simple gradient of severity. It is also clear that plants adjust over time such that the gene expression patterns that are initially elicited to cope with hypobaria are mediated as plants adjust their metabolism to this environment. The patterns of genome-wide changes in gene expression across a gradient of atmospheric pressures, and over a time course of several days allows for the development of theories of how plant metabolisms may be adapting to changes in atmospheric pressures.

Publication Title

No associated publication

Sample Metadata Fields

Age, 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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