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accession-icon GSE61142
Effects of the insulin degrading enzyme silencing on the transcriptome of HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Insulin degrading enzyme (IDE) is a major enzyme responsible for insulin degradation in the liver. The modulation of insulin degrading enzyme activity is hypothesized to be a link between T2DM and liver cancer. Results provide insight into role of IDE in proliferation and other cell functions.

Publication Title

Modulation of insulin degrading enzyme activity and liver cell proliferation.

Sample Metadata Fields

Cell line

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accession-icon E-MEXP-170
Transcription profiling of human colon Caco-2 cells treated with sulforaphane (SF)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Effect of sulforaphane (SF) on human colon caco-2 cells after 24h treatment

Publication Title

Transcriptome analysis of human colon Caco-2 cells exposed to sulforaphane.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line, Compound

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accession-icon GSE58575
Expression data from adipose tissue of WNIN/Ob lean and obese rats
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Obesity is characterised by increased adipocyte size and number. Analysis of altered gene expression gives better understading about the mechanisms involved/alterted in the development of obesity in this new obese rat model.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE58576
Expression data from liver of WNIN/Ob lean and obese rats
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Obesity is risk factor for development of fatty liver. Analysis of altered gene expression gives better understading about the mechanisms involved/alterted in the development of obesity-induced fattyliver in this new obese rat model.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon SRP167033
Sus scrofa Genome sequencing
  • organism-icon Sus scrofa
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To evaluate the potential protective effects of APS on intestinal health and its mechanism of action, we performed an RNA sequencing (RNA-seq) study in LPS-stimulated porcine intestinal epithelial cells (IPEC-J2) in vitro

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP026594
Sus scrofa strain:pig Transcriptome or Gene expression
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Subcutaneous adipose tissue and longissimus dorsi muacle were isolated from Large White pig at 3 days of age, and subcutaneous and intramuscular stromal vascular (SV) cells were obtained as the procedure modified from previous reports. Six Solexa sequencing samples were collected during subcutaneous and intramuscular SV cells adipogenic differentiation at day 0, 2, 4.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP151738
Effects of anti-integrin treatment with vedolizumab on immune pathways and cytokines in inflammatory bowel diseases
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background and aims: Despite proven clinical efficacy of vedolizumab (VDZ) for inducing and maintaining remission in patients with Crohn's disease (CD) and ulcerative colitis (UC), subgroups of patients have no therapeutic benefit from anti-a4ß7 integrin therapy with VDZ. Within this study, we aimed to identify genetic, cellular and immunological mechanisms that define response and failure to VDZ treatment.Methods: Intestinal RNA Sequencing was performed in UC and CD patients before and at week 14 of VDZ therapy. a4ß7 expression on peripheral and mucosal immune cells was assessed by flow cytometry and immunohistochemistry. Cellular modes of VDZ mediated action were analysed ex vivo and in VDZ treated IBD patients.Results: Transcriptome analysis showed an impairment of signaling cascades associated with adhesion, diapedesis and migration of granulocytes and agranulocytes upon VDZ therapy. In non-remitters to VDZ therapy, a tissue destructive and leucocyte mediated inflammatory activity with activation of TNF dependent pathways was present, all of which were inhibited in remitters to VDZ. Clinical remission was associated with a significant reduction of a4ß7 expression on Th2 and Th17 polarized mucosal CD4+ T cells at week 14 of VDZ therapy and with significantly higher numbers of a4ß7 expressing mucosal cells prior to the initiation of VDZ therapy compared to non-remitters.Conclusions: Intestinal a4ß7 expression prior to VDZ therapy might represent a biomarker that predicts therapeutic response to subsequent VDZ treatment. Due to high activation of TNF signaling in VDZ non-remitters, anti-TNF treatment might represent a promising therapeutic strategy in VDZ refractory patients.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Disease, Treatment, Subject

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accession-icon GSE18740
Luteolin has anti-inflammatory and neurotrophic effects on microglia
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our aim was to identify genes that were differentially expressed in microglia stimulated with Lipopolysaccharide, Luteolin, or both.

Publication Title

Luteolin triggers global changes in the microglial transcriptome leading to a unique anti-inflammatory and neuroprotective phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13125
Identification of PU.1 target genes by expression profiling of PUER cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

PU.1 is a key transcription factor for macrophage differentiation. Novel PU.1 target genes were identified by mRNA profiling of PU.1-deficient progenitor cells (PUER) before and after PU.1 activation. We used two different types of Affymetrix DNA-microarrays (430 2.0 arrays and ST 1.0 exon arrays) to characterize the global PU.1-regulated transcriptional program underlying the early processes of macrophage differentiation.

Publication Title

Transcriptomic profiling identifies a PU.1 regulatory network in macrophages.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE138337
Gene expression in the striatum of Nestin-Cre (Foxp1-/-) mice in comparison to WT animals at embryonic day (E)18.5
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To define the genes and pathways which are influenced by Foxp1 in the striatum at embryonic stage (E)18.5 we performed a microarray expression study comparing gene expression in striatal tissue from WT and Nestin-Cre (Foxp1-/-) animals.

Publication Title

No associated publication

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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