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accession-icon GSE43035
NRSF/REST knockdown, and SF-1 overexpression and knockdown
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analysis of SF-1 transcription factor dosage impact on genome-wide binding and gene expression regulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE43033
Expression data from H295R cells where NRSF/REST or SF-1 were knocked down
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SF-1 is a nuclear receptor transcription factor playing a key role in adrenogonadal development and in adrenocortical tumorigenesis when overexpressed. NRSF/REST is a transcriptional repressor that represses expression of neuronal genes in non-neural tissues. Some data suggest that SF-1 and NRSF/REST can functionally interact in adrenocortical cancer cells.

Publication Title

Integrative analysis of SF-1 transcription factor dosage impact on genome-wide binding and gene expression regulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE43032
Expression data from H295R cells in basal conditions/overexpressing SF-1
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SF-1 is a nuclear receptor transcription factor playing a key role in adrenogonadal development and in adrenocortical tumorigenesis when overexpressed.

Publication Title

Integrative analysis of SF-1 transcription factor dosage impact on genome-wide binding and gene expression regulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP065840
Genetic Diversity Through RNA Editing: Apobec1-mediated RNA editing in bulk and single cell macrophages and dendritic cells
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA editing is a mutational mechanism that specifically alters the nucleotide content in sets of transcripts while leaving their cognate genomic blueprint intact. Editing has been detected from bulk RNA-seq data in thousands of distinct transcripts, but apparent editing rates can vary widely (from under 1% to almost 100%). These observed editing rates could result from approximately equal rates of editing within each individual cell in the bulk sample, or alternatively, editing estimates from a population of cells could reflect an average of distinct, biologically significant editing signatures that vary substantially between individual cells in the population. To distinguish between these two possibilities we have constructed a hierarchical Bayesian model which quantifies the variance of editing rates at specific sites using RNA-seq data from both single cells and a cognate bulk sample consisting of ~ 106 cells. The model was applied to data from murine bone-marrow derived macrophages and dendritic cells, and predicted high variance for specific edited sites in both cell types tested. We then 1 validated these predictions using targeted amplification of specific editable transcripts from individual macrophages. Our data demonstrate substantial variance in editing signatures between single cells, supporting the notion that RNA editing generates diversity within cellular populations. Such editing-mediated RNA-level sequence diversity could contribute to the functional heterogeneity apparent in cells of the innate immune system. Overall design: 26 samples were subjected to RNA-seq: 24 single WT macrophages, and 2 bulk samples (Apobec1 WT and KO macrophages), consisting of 500,000-1 million cells each.

Publication Title

RNA editing generates cellular subsets with diverse sequence within populations.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE59485
Expression data from bovine nucleus pulposus interverteral disc cells
  • organism-icon Bos taurus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Assessment of the putative differential gene expression profiles in high osmolality-treated bovine nucleus pulposus intervertebral disc cells for a short (5 h) and a long (24 h) time period. Identification of novel genes up- or down-regulated as an early or a late response to hyperosmotic stress.

Publication Title

Deficiency in the α1 subunit of Na+/K+-ATPase enhances the anti-proliferative effect of high osmolality in nucleus pulposus intervertebral disc cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP119485
Bmp2 and Notch cooperate to pattern the embryonic endocardium
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our study describes in detail the role of Bmp2 during cardiac valve developmnent and its implication in Notch pathway activation. Overall design: Hearts were isolated from WT and Bmp2GOF;Nkx2.5-Cre mouse embryos at stage E9.5 and their expression profile characterized by RNA-seq

Publication Title

Bmp2 and Notch cooperate to pattern the embryonic endocardium.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE139601
Transcriptomic profiling of the white adipose tissue (WAT) in ApoE3L.CETP mice fed a high fat diet (HFD) or a low fat diet (LFD) for three different time periods, or chow diet at baseline
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The metabolic syndrome (MetS) is characterized by the presence of metabolic abnormalities that include abdominal obesity, dyslipidemia, hypertension, increased blood glucose/insulin resistance, hypertriglyceridemia and increased risk for cardiovascular disease (CVD). The ApoE*3Leiden.human Cholesteryl Ester Transfer Protein (ApoE3L.CETP) mouse model manifests several features of the MetS upon high fat diet (HFD) feeding. Moreover, the physiological changes in the white adipose tissue (WAT) contribute to MetS comorbidities. The aim of this study was to identify transcriptomic signatures in the gonadal WAT of ApoE3L.CETP mice in discrete stages of diet-induced MetS.

Publication Title

Transcriptome analysis of the adipose tissue in a mouse model of metabolic syndrome identifies gene signatures related to disease pathogenesis.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP131203
Effects of Hif1a mutation and maternal diabetes on the offspring heart
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We analysed the combined effects of exposure to maternal diabetes and disrupted HIF-1 signaling on the transcriptom in cardiac left ventricles of 12 weeks old male mice. This approach provides the information about the long term changes originating in utero due to maternal diabetes and inefficient response to hypoxia which develops as a result of hyperglycemia. The majority of changes were detected in Hif1a insufficient mice exposed to maternal diabetes. Overall design: Streptozotocin induced diabetic FVB females were mated with non-diabetic males with global heterozygous deletion of Hif1a (Hif1a+/-). Total RNA was extracted from the LV of the hearts of 12-week-old male offspring in biological triplicates per each group (wt, non-diabetic pregnancy; wt, diabetic pregnancy; Hif1a+/-, non-diabetic pregnancy; Hif1a+/-, diabetic pregnancy). RNA profiles were generated by deep sequencing using Illumina NextSeq.

Publication Title

Adverse effects of Hif1a mutation and maternal diabetes on the offspring heart.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE19941
Control of LPS induced gene expression in bone marrow derived macrophages by the p50/p105 subunit of NF-kB and IL-10
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Bone marrow-derived macrophages were produced from mice lacking IL-10 alone (IL10-def) or mice lacking both IL-10 and the p50/p105 subunit of NF-kB (p50/IL10), and left unstimulated, stimulated with LPS (1 ng/ml) or stimulated with LPS and IL-10 (0.3 ng/ml).

Publication Title

NF-κB1 inhibits TLR-induced IFN-β production in macrophages through TPL-2-dependent ERK activation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP065571
Sequential ligand-dependent Notch signaling activation regulates valve primordium formation and morphogenesis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Our studies identify a mechanism of signaling crosstalk during valve morphogenesis that sheds light on the origin of congenital heart defects associated with reduced Notch function. Overall design: Aortic and pulmonary cardiac valves were isolated by laser microdissection from WT and Jag1flox;Nkx2.5-Cre mouse embryos at stage E14.5, and their expression profile characterized by RNA-Seq.

Publication Title

Sequential Ligand-Dependent Notch Signaling Activation Regulates Valve Primordium Formation and Morphogenesis.

Sample Metadata Fields

Specimen part, 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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