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accession-icon GSE26155
Advanced Study of Aortic Pathology (ASAP)
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

BACKGROUND: The vast majority of thoracic aortic aneurysms (TAAs) are observed either together with a bicuspid aortic valve (BAV), a common congenital disorder, or in idiopathic cases such as patients with a normal tricuspid aortic valve (TAV). The main objective of our study was to identify shared and unique gene expression properties underlying the aortic dilation of BAV and TAV patients.

Publication Title

Unraveling divergent gene expression profiles in bicuspid and tricuspid aortic valve patients with thoracic aortic dilatation: the ASAP study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32325
Expression and ChIP-seq analysis LPS stimulated THP-1 cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combined chromatin and expression analysis reveals specific regulatory mechanisms within cytokine genes in the macrophage early immune response.

Sample Metadata Fields

Cell line

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accession-icon GSE32141
Expression analysis LPS stimulated THP-1 cells in four paired samples
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Macrophages play a critical role in innate immunity, and the expression of early response genes orchestrate much of the initial response of the immune system. Macrophages undergo extensive transcriptional reprogramming in response to inflammatory stimuli such as Lipopolysaccharide (LPS). To identify gene transcription regulation patterns involved in early innate immune responses, we used two genome-wide approaches - gene expression profiling and chromatin immunoprecipitation-sequencing (ChIP-seq) analysis. We examined the effect of 2 hrs LPS stimulation on early gene expression and its relation to chromatin remodeling (H3 acetylation; H3Ac) and promoter binding of Sp1 and RNA polymerase II phosphorylated at serine 5 (S5P RNAPII), which is a marker for transcriptional initiation. Our results indicate novel and alternative gene regulatory mechanisms for certain proinflammatory genes. We identified two groups of up-regulated inflammatory genes with respect to chromatin modification and promoter features. One group, including highly up-regulated genes such as tumor necrosis factor (TNF), was characterized by H3Ac, high CpG content and lack of TATA boxes. The second group, containing inflammatory mediators (interleukins and CCL chemokines), was up-regulated upon LPS stimulation despite lacking H3Ac in their annotated promoters, which were low in CpG content but did contain TATA boxes. Genome-wide analysis showed that few H3Ac peaks were unique to either +/-LPS condition. However, within these, an unpacking/expansion of already existing H3Ac peaks was observed upon LPS stimulation. In contrast, a significant proportion of S5P RNAPII peaks (approx 40%) was unique to either condition. Furthermore, data indicated a large portion of previously unannotated TSSs, particularly in LPS-stimulated macrophages, where only 28% of unique S5P RNAPII peaks overlap annotated promoters. The regulation of the inflammatory response appears to occur in a very specific manner at the chromatin level for specific genes and this study highlights the level of fine-tuning that occurs in the immune response.

Publication Title

Combined chromatin and expression analysis reveals specific regulatory mechanisms within cytokine genes in the macrophage early immune response.

Sample Metadata Fields

Cell line

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accession-icon GSE14844
Reliability and stability of individual differences in gene expression
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Studying the causes and correlates of natural variation in gene expression in healthy populations assumes that individual differences in gene expression can be reliably and stably assessed across time. However, this is yet to be established.

Publication Title

Assessing individual differences in genome-wide gene expression in human whole blood: reliability over four hours and stability over 10 months.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE23182
Systemic inflammation modulates Fc receptor expression on microglia in chronic neurodegeneration
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To investigate the inflammatory response in neurodegenerative disease during an episode of systemic inflammation using the ME7 prion model.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE35917
Expression data of transduced mouse glioblastomas
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transgenic GFAP-, NES-, and SYN- CRE mice were injected with a lenti-viral construct containing a floxed RFP directly upstream of a cassette containing si-p53, GFP, and mutant HRAS. Tumors arising from the various CRE tissue specific promoters and differing injections sites were compared to normal hippocampus and cortex.

Publication Title

Dedifferentiation of neurons and astrocytes by oncogenes can induce gliomas in mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39210
Gene Expression of ESC and iPSC lines after specific differentiation
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We cultured hESC and hiPSC lines and compared the transcriptome of untreated cells with cells treated with Activin or BMP4 during 5 days

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE36902
Linking Proteomic and Transcriptional Data through the Interactome and Epigenome Reveals a Map of Oncogene-induced Signaling
  • organism-icon Homo sapiens
  • sample-icon 8 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

Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE30049
Expression data comparing the effect of IKK2 KO on a KRAS mouse model
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Given that the NF-B pathway plays an important role in tumor development and that IKK2 is the seminal kinase responsible for NF-B pathway activation, we were particularly interested in exploring the therapeutic potential of IKK2 inhibition in non-small cell lung cancers.

Publication Title

Reduced cell proliferation by IKK2 depletion in a mouse lung-cancer model.

Sample Metadata Fields

Specimen part

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accession-icon GSE25513
AMPK and calcineurin induced longevity is mediated by CRTC-1 and CREB
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

AMPK (AAK-2) and calcineurin (TAX-6) mediate longevity exclusively through post-translational modification of CRTC-1, the sole C. elegans CRTC (CREB regulated transcriptional coactivator).

Publication Title

Lifespan extension induced by AMPK and calcineurin is mediated by CRTC-1 and CREB.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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