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accession-icon SRP101375
9 week mouse cardiac myocyte RNA-seq
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Control and H3K9me3-depleted (KDM4D OE) adult cardiac myocytes

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP059989
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

By means of 3' end sequencing we provide a genome-wide, high-resolution polyadenylation map of the human heart. By sequencing 5 control en 5 dilated cardiomyopathy (DCM) myocardial specimens we investigate the difference in alternative polyadenylation (APA) in healthy and diseased hearts.

Publication Title

Genome-Wide Polyadenylation Maps Reveal Dynamic mRNA 3'-End Formation in the Failing Human Heart.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15499
HDAC5 is a repressor of angiogenesis and determines the angiogenic gene expression pattern of endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Class IIa histone deacetylases (HDACs) are signal-responsive regulators of gene expression involved in vascular homeostasis. To investigate the differential role of class IIa HDACs for the regulation of angiogenesis, we used siRNA to specifically suppress the individual HDAC isoenzymes. Among the HDAC isoforms tested, silencing of HDAC5 exhibited a unique pro-angiogenic effect evidenced by increased endothelial cell migration, sprouting and tube formation. Consistently, overexpression of HDAC5 decreased sprout formation, indicating that HDAC5 is a negative regulator of angiogenesis. The anti-angiogenic activity of HDAC5 was independent of MEF2 binding and its deacetylase activity, but required a nuclear localization indicating that HDAC5 might affect the transcriptional regulation of gene expression. To identify putative HDAC5 targets, we performed microarray expression analysis. Silencing of HDAC5 increased the expression of fibroblast growth factor 2 (FGF2) and angiogenic guidance factors including Slit2. Antagonization of FGF2 or Slit2 reduced sprout induction in response to HDAC5 siRNA. ChIP assays demonstrate that HDAC5 binds to the promoter of FGF2 and Slit2. In summary, HDAC5 represses angiogenic genes, like FGF2 and Slit2, which causally contribute to capillary-like sprouting of endothelial cells. The de-repression of angiogenic genes by HDAC5 inactivation may provide a useful therapeutic target for induction of angiogenesis.

Publication Title

HDAC5 is a repressor of angiogenesis and determines the angiogenic gene expression pattern of endothelial cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP188702
Rattus norvegicus strain:Sprague-Dawley(SD) Raw sequence reads
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

In the present study, we used NGS to characterise lncRNA-seq of acute myocardial infarction (AMI) rats and healthy controls to elucidate the functions and mechanisms of lncRNAs in cardiomyocytes. We want to identified a certain pair of lncRNA and its binding mRNA to elucidate the role in ischemia-hypoxia cardiomyocytes for AMI.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP162489
Danio rerio Transcriptome or Gene expression
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

to study the feasibility of gene therapy of TNNT2 mutant related cardiomyopathy

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP110564
Identification of circular RNAs with host gene-independent expression in human model systems for cardiac differentiation and disease
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Aims: Cardiovascular disease, one of the most common causes of death in western populations, is characterized by changes in RNA splicing and expression. Circular RNAs (circRNA) originate from back-splicing events, which link a downstream 5’ splice site to an upstream 3’ splice site. Several back-splicing junctions (BSJ) have been described in heart biopsies from human, rat and mouse hearts.[1,2] Here, we use human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) to identify circRNA and host gene dynamics in cardiac development and disease. In parallel, we explore candidate interactions of selected homologs in mouse and rat via RIP-seq experiments.Methods and Results: Deep RNA sequencing of cardiomyocyte development and ß-adrenergic stimulation uncovered 4,518 circRNAs. The set of circular RNA host genes is enriched for chromatin modifiers and GTPase activity regulators. RNA-seq and qRT-PCR data showed that circular RNA expression is highly dynamic in the hiPSC-CM model with 320 circRNAs showing significant expression changes. Intri-guingly, 82 circRNAs are independently regulated to their host genes. We validated the same circRNA dynamics for circRNAs from ATXN10, CHD7, DNAJC6 and SLC8A1 in biopsy material from human dilated cardiomyopathy (DCM) and control patients. Finally, we could show that rodent homologs of circMYOD, circSLC8A1, circATXN7 and circPHF21A interact with either the ribosome or Argonaute2 protein complexes.Conclusion: CircRNAs are dynamically expressed in a hiPSC-CM model of cardiac development and stress response. Some circRNAs show similar, host-gene inde-pendent expression dynamics in patient samples and may interact with the ribo-some and RISC complex. In summary, the hiPSC-CM model uncovered a new sig-nature of potentially disease relevant circRNAs which may serve as novel therapeu-tic targets.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Race

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accession-icon GSE141512
Expression data for patients with myocardial infarction (MI) vs healthy patients
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.

Publication Title

Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature.

Sample Metadata Fields

Sex, Specimen part, Disease stage

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accession-icon GSE71226
Expression data from coronary heart disease in Chinese Han people
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The genetics, social, cultural and environmental factors pose a great challenge for the diagnosis and treatment of coronary heart disease among different racial groups. We aimed to identify the differentially expressed genes involved in coronary heart disease in Chinese Han people as an aid for screening and diagnosing coronary heart disease.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Race

View Samples
accession-icon GSE97320
Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The genes had different expression between healthy people and acute myocardial infarction.We aimed to identify the differentially expressed genes involved in acute myocardial infarction in Northeast Chinese Han people.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

View Samples
accession-icon E-MTAB-3066
Transcription profiling by array of human adipose tissue-derived stromal cells with or without VEGF stimulation
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

ASCs cultured in complete medium, ASCs cultured in serum serum-deprived medium, and ASCs stimulated with VEGF in serum-deprived medium were compared. Using microarray analysis, gene expression from the whole genome was compared between conditions. Compared to ASCs in complete medium, expression of 190 and 108 ASC genes were significantly regulated altered by serum deprivation and serum deprivation combined with VEGF, respectively. No significant differences in gene expression patterns between serum-deprived ASCs and serum-deprived ASC combined with VEGF stimulation were found. Genes most prominently and significantly up-regulated by both conditions were growth factors (IGF1, BMP6, PDGFD, FGF9), adhesion molecule CLSTN2, extracellular matrix related proteins like matricellular proteins SMOC2, SPON1 and ADAMTS12, and inhibitors of proliferation (JAG1). The most significantly down-regulated genes included matrix metalloproteinases (MMP3, MMP1), and proliferation markers (CDKN3) and GREM2, - a BMP6 antagonist.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject

View Samples
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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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