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accession-icon GSE62459
Heart expression data after short ischemia/reperfusion in WT, Reverb alpha KO and Reverb alpha antagonist-treated mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Daytime variation of perioperative myocardial injury in cardiac surgery and its prevention by Rev-Erbα antagonism: a single-centre propensity-matched cohort study and a randomised study.

Sample Metadata Fields

Specimen part

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accession-icon GSE62457
Heart expression data from WT and reverb alpha KO mice after short ischemia/reperfusion at ZT0, ZT12
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Nuclear receptor Reverb alpha is a component of circadian rythm which could be evolved in cardioprotection strategy. We test if pharmacological modulation of these target could be suitable for cardioprotection after ischemia reperfusion injury

Publication Title

Daytime variation of perioperative myocardial injury in cardiac surgery and its prevention by Rev-Erbα antagonism: a single-centre propensity-matched cohort study and a randomised study.

Sample Metadata Fields

Specimen part

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accession-icon GSE8397
Expression profiling of the Parkinsonian Brain
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Affymetrix HG_U133 array sets (A and B chips) were used to determine the whole genome transcription profile of clinically documented and neuropathologically confirmed cases of sporadic Parkinson's disease as well as controls.

Publication Title

Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson's disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2817
Wavelet modelling of microarray data provides chromosomal pattern of expression which predicts survival in gliomas
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetic and epigenetic processes result in gene expression changes through alteration of the chromatin structure. The relative position of genes on chromosomes has therefore important functional implications and can be exploited to model microarray datasets. Gliomas are the most frequent primary brain tumours in adults and their prognosis is related to histology and grade. In oligodendrogliomas, allelic loss of 1p/19q and hypermethylation of MGMT promoter is associated with longer survival and chemosensitivity. In this work we used oligonucleotide microarray to study a group of 30 gliomas with various oligodendroglial and astrocytic components. We used an original approach combining a wavelet model of inter-probe genomic distance (CHROMOWAVE) and unsupervised method of analysis (Singular Value Decomposition) in order to discover new prognostic chromosomal patterns of gene expression. We identified a major pattern of variation that strongly correlated with survival (p= 0.007) and could be visualized as a genome-wide chromosomal pattern including widespread gene expression changes on 1p, 19q, 4, 18, 13 and 9q and multiple smaller clusters scattered along chromosomes. Gene expression changes on chromosomes 1p, 19q and 9q were significantly correlated with the allelic loss of these regions as measured by FISH. Differential expression of genes implicated in drug resistance was also a feature of this chromosomal pattern and in particular low expression of MGMT was correlated with favourable prognosis (p<0.0001). Remarkably, unsupervised analysis of the expression of individual genes and not of their chromosomal ensemble produced a pattern that could not be associated with prognosis, emphasizing the determinant role of the wavelet mathematical modelling.

Publication Title

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21096
Molecular Mechanisms Mediating Preconditioning Following Chronic Ischemia Differ from those in Classical Second Window
  • organism-icon Sus scrofa
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Ischemic preconditioning represents the most powerful mechanism of cardioprotection. The mechanisms mediating the second window of preconditioning (SWOP) differ from those mediating first window preconditioning. We hypothesized that chronic ischemia induced by repetitive ischemic stimuli would be mediated by yet different molecular mechanisms. Accordingly, conscious, chronically instrumented pigs (n=5/group) were submitted to a protocol of classical SWOP (two 10-min episodes of coronary artery occlusion followed by 24 hr reperfusion) and compared to pigs submitted to repetitive occlusion/reperfusion (RCO) by repeating 6 episodes of SWOP 12 hrs apart, and to a model of repetitive coronary stenosis (RCS), in which 6 episodes of 90 min coronary stenosis were performed 12 hrs apart. Microarray analysis was performed on the three models. There was an 85% homology in gene response between both models of RCO and RCS, whereas SWOP was qualitatively different. Both models of RCO and RCS but not SWOP showed a down-regulation of genes encoding proteins involved in oxidative metabolism, and an up-regulation of genes involved in protein synthesis and unfolded protein response, autophagy, heat shock response, protein secretion, and a strong activation of the NF-B signaling pathway. Two thirds of the genes regulated in the three models showed a gradual pattern of up- or down-regulation, in which RCO was quantitatively intermediary between RCS and SWOP. Therefore, the regulated genes in response to chronic, repetitive episodes of ischemia differ radically from classical first or second window preconditioning.

Publication Title

Molecular mechanisms mediating preconditioning following chronic ischemia differ from those in classical second window.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE13347
FoxO RNAi in C2C12 cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

C2C12 cells are mouse skeletal muscle cells. These cells were transfected with shRNA against FoxO1, FoxO3, and FoxO4. FoxO1, FoxO3, and FoxO4 are the known paralogues expressed in this cell line.

Publication Title

Codependent activators direct myoblast-specific MyoD transcription.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28540
Activity of SigB Modulates Virulence Gene Expression in a Murine Staphylococcus aureus Infection Model but Does Not Influence the Host Kidney Gene Expression
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Background. Infections caused by Staphylococcus aureus are associated with significant morbidity and mortality and are an increasing threat not only in hospital settings. The expression of the staphylococcal virulence factor repertoire is known to be affected by the alternative sigma factor B (SigB). However, its impact during infection still is a matter of debate. Methods. Kidney tissue of controls or mice infected with S. aureus HG001 or its isogenic sigB mutant was analyzed by transcriptome profiling to monitor the host response, and additionally expression of selected S. aureus genes was monitored by RT-qPCR. Results. Direct transcript analysis by RT-qPCR revealed significant SigB activity in all mice infected with the wild type strain (WT), but not in its isogenic sigB mutant (p<0.0001). Despite a clear cut difference in the SigB-dependent transcription pattern of virulence genes (clfA, aur, and hla), the host reaction to infection (either WT or sigB mutant) was almost identical. Conclusions. Despite its significant activity in vivo, loss of SigB did not have an effect on the outcome of infection as well as on murine kidney gene expression pattern. Thus, these data support the role of SigB as virulence modulator rather than being a virulence determinant by itself.

Publication Title

The alternative sigma factor B modulates virulence gene expression in a murine Staphylococcus aureus infection model but does not influence kidney gene expression pattern of the host.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE10498
Comparison of SCG expression profiles from Bax null versus NGF-Bax double null mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We report that developmental competition between sympathetic neurons for survival is critically dependent on a sensitization process initiated by target innervation and mediated by a series of feedback loops. Target-derived nerve growth factor (NGF) promoted expression of its receptor TrkA in neurons and prolonged TrkA-mediated signals. NGF also controlled expression of brain derived neurotrophic factor (BDNF) and neurotrophin-4 (NT4), which, through the receptor p75, can kill neighboring neurons with low retrograde NGFTrkA signaling whereas neurons with high NGFTrkA signaling are protected. Perturbation of any of these feedback loops disrupts the dynamics of competition. We suggest that three target-initiated events are essential for rapid and robust competition between neurons: sensitization, paracrine apoptotic signaling, and protection from such effects.

Publication Title

A model for neuronal competition during development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE117855
Engineered FGF19 promotes HDL biogenesis and transhepatic cholesterol efflux to prevent atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cholesterol is an essential cell membrane component and precursor in metabolic pathways. Control of cholesterol levels is essential to human health. The endocrine hormone FGF19 potently inhibits CYP7A1, which controls a key step in cholesterol catabolism. However, the molecular mechanisms that integrate FGF19 with other cholesterol metabolic pathways are incompletely understood. Here we show that FGF19 and analogue promote HDL biogenesis and cholesterol efflux from the liver by selectively modulating liver X receptor signaling without inducing hepatic steatosis. We further identify ATP-binding cassette transporter A1 and FGFR4 as mediators of this effect. In dyslipidemic Apoe-/- mice fed a Western diet, treatment with FGF19 analogue dramatically reduced atherosclerotic lesion area in aortas. In healthy human volunteers, FGF19 analogue caused a placebo-adjusted increase in HDL cholesterol levels of 26% in seven days. These findings outline a regulatory role for FGF19 in cholesterol metabolism and advance our understanding of the mechanisms that coordinate sterol homeostasis.

Publication Title

Therapeutic FGF19 promotes HDL biogenesis and transhepatic cholesterol efflux to prevent atherosclerosis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE60151
Global quadriceps skeletal muscle transcript data from fasted male BXD strains on chow or high fat diet
  • organism-icon Mus musculus
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcript data from quadriceps skeletal muscle from fasted-state male BXD strains on Quadriceps, Chow or Quadriceps, High fat diet

Publication Title

An evolutionarily conserved role for the aryl hydrocarbon receptor in the regulation of movement.

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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