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accession-icon GSE38511
Aspirin Exposure Reveals Novel Genes Associated with Platelet Function and Cardiovascular Events (outpatient cardiology)
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Identifying individuals at heightened cardiovascular risk is a priority for reducing the global burden of cardiovascular disease. Aspirin is widely used to prevent cardiovascular events, though with variable results. Therefore, we hypothesized that aspirin exposure would reveal novel biological pathways relevant to the development of cardiovascular events. Methods: We administered aspirin, followed by peripheral blood RNA microarray profiling, in a discovery cohort of healthy volunteers (n = 50, HV1), followed by two validation cohorts of healthy volunteers (n = 53, HV2) or outpatient cardiology (OPC, n = 25) patients, in conjunction with platelet function testing with the platelet functions score (PFS, HV1 and HV2) or the VerifyNow Asprin (VN, OPC) test. Sets of coexpressed genes, or Factors were identified via Bayesian sparse factor analysis and associated with platelet function in HV1 and validated in HV2 and OPC. Validated factors were associated with death/MI in observational (n = 191) and case:control (n = 447) patient cohorts with available RNA data collected at the time of cardiac catheterization. Results: Factor analysis yielded 20 Factors, of which one, Factor 14, contained 60 genes and was associated with PFS in HV1 (r = -0.31, p-value = 0.03). Factor 14 was associated with platelet function with the same strength and direction in HV2 (r = -0.34, p-value = 0.02) and OPC (one-sided p-value for aspirin resistant vs. aspirin sensitive = 0.046), thus validating the association. Factor 14 was associated with death/MI in the two patient cohorts, odds ratio (OR) = 1.2, 95% CI [1.02-1.4], p-value = 0.01 and hazard ratio = 1.5, [1.2-1.9], p = 0.001, respectively, independent of known cardiovascular risk factors (combined OR = 1.2, CI = [1.02, 1.4], p = 0.03). Factor 14 and the expression of the Factor 14 transcript most highly correlative of PFS, ITGA2B, improved reclassification compared to traditional risk factors (category-free net reclassification index = 31% and 37%, p 0.0002 for both). Conclusions: By challenging humans subjects with aspirin, a medication used for cardiovascular risk reduction, we elucidated genes and pathways that may underlie platelet function and mechanisms responsible for cardiovascular death/MI.

Publication Title

Aspirin insensitive thrombophilia: transcript profiling of blood identifies platelet abnormalities and HLA restriction.

Sample Metadata Fields

Specimen part

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accession-icon GSE2806
Transcriptional profile of an acs2Ts1 mutant yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Wild-type and the acs2Ts1 mutant yeasts were shifted from 25deg to 37deg. After 60 minutes, Yeasts were harvested and divided into 2 x 2 cell samples. Total RNAs were purified from 4 populations.

Publication Title

Nucleocytosolic acetyl-coenzyme a synthetase is required for histone acetylation and global transcription.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP126648
Single-cell RNA-seq of mouse dopaminergic neurons informs candidate gene selection for sporadic Parkinson''s disease
  • organism-icon Mus musculus
  • sample-icon 758 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetic variation modulating risk of sporadic Parkinson's disease (PD) has been primarily explored through genome wide association studies (GWAS). However, like many other common genetic diseases, the impacted genes remain largely unknown. Here, we used single-cell RNA-seq to characterize dopaminergic (DA) neuron populations in the mouse brain at embryonic and early postnatal timepoints. These data facilitated unbiased identification of DA neuron subpopulations through their unique transcriptional profiles, including a novel postnatal neuroblast population and substantia nigra (SN) DA neurons. We use these population-specific data to develop a scoring system to prioritize candidate genes in all 49 GWAS intervals implicated in PD risk, including known PD genes and many with extensive supporting literature. As proof of principle, we confirm that the nigrostriatal pathway is compromised in Cplx1 null mice. Ultimately, this systematic approach establishes biologically pertinent candidates and testable hypotheses for sporadic PD, informing a new era of PD genetic research. Overall design: 473 single cell RNA-Seq samples from sorted mouse Th-eGFP+ dopaminergic neurons collected at two timepoints from three distinct brain regions.

Publication Title

Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE15415
Candidate genes for alcohol preference in alcohol-preferring and non-preferring reciprocal congenic rats
  • organism-icon Rattus norvegicus
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-nave iP and P.NP rats.

Publication Title

Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats.

Sample Metadata Fields

Specimen part

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accession-icon GSE5849
Identification of Candidate Genes for Alcohol Preference by Expression Profiling of Congenic Strains
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

A highly significant quantitative trait locus (QTL) that influenced alcohol preference was identified in the iP/iNP rats on chromosome 4.

Publication Title

Identification of candidate genes for alcohol preference by expression profiling of congenic rat strains.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE108875
Expression data from mouse spleens after experimental stroke (reanalysis of dataset GSE70841 with additional experimental)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular composition of the spleen are extensively disrupted resulting in deficits to immune function.

Publication Title

Experimental Stroke Differentially Affects Discrete Subpopulations of Splenic Macrophages.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP189590
Spinal cord RNA-seq
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq with male and female juvenile and adult spinal cords Overall design: RNA was isolated from 4 week and 8 week spinal cords for sequencing

Publication Title

Age and Sex-Related Changes to Gene Expression in the Mouse Spinal Cord.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE926
Murine Testis Developmental Time Course
  • organism-icon Mus musculus
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Murine testis developmental time course created from tissue samples collected from birth through adulthood and hybridized to MGU74v2 A, B, and C chips in duplicate

Publication Title

The murine testicular transcriptome: characterizing gene expression in the testis during the progression of spermatogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69555
Gene expression analyses of miR-99b and miR-330-3p overexpression in Natural killer cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

In order to define the targets of two miRNA overexpressed in NK cells in CFS/ME paitents, miRNA precursors for hsa-miR-99b and hsa-miR-330-3p were transfected in to buffy coat derived Natural Killer cells isolated by negative magnetic selection.

Publication Title

MicroRNAs hsa-miR-99b, hsa-miR-330, hsa-miR-126 and hsa-miR-30c: Potential Diagnostic Biomarkers in Natural Killer (NK) Cells of Patients with Chronic Fatigue Syndrome (CFS)/ Myalgic Encephalomyelitis (ME).

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP063469
Effect of Asr1 RING mutation on the transcriptome of S. cerevisisae.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This analysis identified 27 genes that are induced, and 29 that are repressed, by a factor of two or more in Asr1RING mutant cells. Genes in each category did not cluster according to gene ontology or chromosome, but we did notice that 33% of genes in the induced set lie within 50 kb of a telomere. In contrast, for repressed genes, only 7% were similarly telomere-proximal. The induction of subtelomeric gene expression in Asr1RING mutant cells suggests that the Ub-ligase activity of Asr1 may be required for authentic patterns of subtelomeric gene silencing. Overall design: Transcriptome of WT and Asr1 RING mutant cells grown at log phase in enriched media.

Publication Title

Antagonistic roles for the ubiquitin ligase Asr1 and the ubiquitin-specific protease Ubp3 in subtelomeric gene silencing.

Sample Metadata Fields

Subject

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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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