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accession-icon GSE19926
Effects of acLDL loading on macrophage
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

acLDL loading of mouse peritoneal macrophage is an in vitro foam cell model.

Publication Title

Cholesterol accumulation regulates expression of macrophage proteins implicated in proteolysis and complement activation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19340
HDL suppresses the type I interferon response
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Background: High density lipoprotein (HDL) protects the artery wall by removing cholesterol from lipid-laden macrophages. However, recent evidence suggests that it might also inhibit atherogenesis by combating inflammation. Methods and Results: To identify potential anti-inflammatory mechanisms, we challenged macrophages with lipopolysaccharide (LPS), an inflammatory microbial ligand for Toll-like receptor 4 (TLR4). HDL inhibited the expression of 33% (301 of 911) of the genes normally induced by LPS, microarray analysis revealed. One of its major targets was the type I interferon response pathway, a family of potent viral immunoregulators controlled by TLR4 and the TRAM/TRIF signaling pathway. Unexpectedly, HDLs ability to inhibit gene expression was independent of cellular cholesterol stores. Moreover, it was unaffected by downregulation of two ATP-binding cassette transporters, ABCA1 and ABCG1, that promote cholesterol efflux. To examine the pathways potential in vivo relevance, we used mice deficient in apolipoprotein (apo) A-I, HDLs major protein. After infection with Salmonella (a Gram-negative bacterium that expresses LPS), apoA-Ideficient mice had 6-fold higher plasma levels of interferon-beta-a key regulator of the type I interferon response than did wild-type mice. Conclusions: HDL inhibits a subset of LPS-stimulated macrophage genes that regulate the type I interferon response, and its action is independent of sterol metabolism. These findings raise the possibility that regulation of macrophage genes by HDL might link innate immunity and cardioprotection.

Publication Title

High-density lipoprotein suppresses the type I interferon response, a family of potent antiviral immunoregulators, in macrophages challenged with lipopolysaccharide.

Sample Metadata Fields

Specimen part

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accession-icon GSE18314
High-level furfural resistance in S. cerevisiae is based on NADPH-dependent reduction by at least two oxireductases
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Resistance of Saccharomyces cerevisiae to high furfural concentration is based on NADPH-dependent reduction by at least two oxireductases.

Publication Title

Resistance of Saccharomyces cerevisiae to high concentrations of furfural is based on NADPH-dependent reduction by at least two oxireductases.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56021
in vitro differentiated Th0, Th17, and Tr1 cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene expression profiling of in vitro differentiated murine Th cell subsets. Flow cytometrically sorted naive Th cells (CD4+ CD44- Foxp3-) were polyclonally stimulated in vitro for 3 days using 4 g/ml plate-bound antibody to CD3 (145-2C11) and 2 g/ml soluble antibody to CD28 (PV-1).

Publication Title

IL-27 and IL-12 oppose pro-inflammatory IL-23 in CD4+ T cells by inducing Blimp1.

Sample Metadata Fields

Specimen part

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accession-icon GSE19705
P19 cells+LIN28_RA-differentiated_Day 4
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

LIN28 is an RNA-binding protein expressed in many developing tissues. It can block let-7 microRNA processing and help promote pluripotency. We observe LIN28 expression in the developing neural tube, colocalizing with SOX2, suggesting a role in neural development. To better understand its normal developmental function, we investigated LIN28 activity during neurogliogenesis in vitro where the succession of neuronal to glial cell fates occurs as it does in vivo. LIN28 expression was high in undifferentiated cells, and was down-regulated rapidly upon differentiation. Constitutive LIN28 expression caused a complete block of gliogenesis and an increase in neurogenesis. LIN28 expression was compatible with neuronal differentiation and did not increase proliferation. LIN28 caused significant changes in gene expression prior to any effect on let-7, notably on Igf2. Furthermore, a mutant LIN28 that permitted let-7 accumulation was still able to completely block gliogenesis. Thus, at least two biological activities of LIN28 are genetically separable and may involve distinct mechanisms. LIN28 can differentially promote and inhibit specific fates and does not function exclusively by blocking let-7 family miRNAs. Importantly, LIN28s role in cell fate succession in vertebrate cells is analogous to its activity as a developmental timing regulator in C. elegans.

Publication Title

LIN28 alters cell fate succession and acts independently of the let-7 microRNA during neurogliogenesis in vitro.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12417
Prognostic gene signature for normal karyotype AML
  • organism-icon Homo sapiens
  • sample-icon 404 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Patients with cytogenetically normal acute myeloid leukemia (CN-AML) show heterogeneous treatment outcomes. We used gene expression profiling to develop a gene signature that predicts overall survival (OS) in CN-AML. Based on data from 163 patients treated in the German AMLCG 1999 trial and analyzed on oligonucleotide microarrays, we used supervised principal component analysis to identify 86 probe sets (representing 66 different genes) which correlated with OS, and defined a prognostic score based on this signature. When applied to an independent cohort of 79 CN-AML patients, this continuous score remained a significant predictor for OS (hazard ratio [HR], 1.85; P=0.002), EFS (HR, 1.73; P=0.001), and RFS (HR, 1.76; P=0.025). It kept its prognostic value in multivariate analyses adjusting for age, FLT3 ITD and NPM1 status. In a validation cohort of 64 CN-AML patients treated on CALGB study 9621, the score also predicted OS (HR, 4.11; P<0.001), EFS (HR, 2.90; P<0.001), and RFS (HR, 3.14, P<0.001) and retained its significance in a multivariate model for OS. In summary, we present a novel gene expression signature that offers additional prognostic information for patients with CN-AML.

Publication Title

An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8945
Expression data from RNAi knockdown HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

One day before transfection, HeLa cells were seeded in 6-well culture plates (1.5 x 10e5 cells per well) or 10-cm culture dishes (4.3 x 10e5 cells per dish). siRNA duplex (at a final concentration in culture medium of 30 nM) was transfected with Lipofectamine 2000 (Invitrogen) according to the manufacturer's instructions. siRNA duplices specific for human hnRNP L, human hnRNP LL, and luciferase GL2 were from MWG Biotech (Ebersberg, Germany).

Publication Title

Diverse roles of hnRNP L in mammalian mRNA processing: a combined microarray and RNAi analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49853
Gene expression in primary human B cells sorted according to IL-10 secretion or not after 2 days of activation.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine characterize human B cells that express IL-10 on a molecular level, we compared the global gene expression of primary CD19pos B cells secreting IL-10 or not, upon activation with anti-CD40, IL-4 and CpG for 2 days.

Publication Title

Autocrine IL-10 promotes human B-cell differentiation into IgM- or IgG-secreting plasmablasts.

Sample Metadata Fields

Specimen part

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accession-icon GSE12304
Albumin, TGF-Beta1 and Blood-Brain Barrier opening induce cortical epileptogenesis.
  • organism-icon Rattus norvegicus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Insults to the cerebral cortex, such as trauma, ischemia or infections, may result in the development of epilepsy, one of the most common neurological disorders. Previous studies have suggested that perturbations in neurovascular integrity and breakdown of the blood-brain barrier (BBB) lead to neuronal hypersynchronization and epileptiform activity, but the underlying mechanisms are unknown. As with BBB opening, treatment with albumin or with TGF-1 results in the development of hypersynchronized epileptiform activity. Given the latent period before the appearance of epileptiform activity, we hypothesized the underlying mechanism is a transcriptional response which would be similar for BBB breakdown and exposure to albumin or TGF-1. In search of a common pathway and transcriptional activation pattern we performed a genome wide analysis. Genomic expression analyses demonstrated similar expression patterns for BBB opening, albumin and TGF-1 exposure. Most importantly, TGF- pathway blockers suppressed most albumin-induced transcriptional changes.

Publication Title

Astrocytic dysfunction in epileptogenesis: consequence of altered potassium and glutamate homeostasis?

Sample Metadata Fields

Sex

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accession-icon SRP007569
SuperSAGE evidence for CD14++CD16+ monocytes as a third monocyte subset
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Monocytes are a heterogeneous cell population with subset-specific functions and phenotypes. The differential expression of CD14 and CD16 distinguishes classical CD14++CD16-, intermediate CD14++CD16+ and non-classical CD14+CD16++ monocytes. However, CD14++CD16+ monocytes remain the most poorly characterized subset so far. Therefore we analyzed the transcriptomes of the three monocyte subsets using SuperSAGE in combination with high-throughput sequencing. Analysis of 5,487,603 tags revealed unique identifiers of CD14++CD16+ monocytes, delineating these cells from the two other monocyte subsets. CD14++CD16+ monocytes were linked to antigen processing and presentation (e.g. CD74, HLA-DR, IFI30, CTSB), to inflammation and monocyte activation (e.g. TGFB1, AIF1, PTPN6), and to angiogenesis (e.g. TIE2, CD105). Therefore we provide genetic evidence for a distinct role of CD14++CD16+ monocytes in human immunity. Overall design: Human monocyte subsets (CD14++CD16-, CD14++CD16+, CD14+CD16++) were isolated from 12 healthy volunteers based on MACS technology. Total RNA from monocyte subsets was isolated and same aliquots from each donor and monocyte subset were matched for SuperSAGE. Three SuperSAGE libraries (CD14++CD16-, CD14++CD16+ and CD14+CD16++) were generated.

Publication Title

SuperSAGE evidence for CD14++CD16+ monocytes as a third monocyte subset.

Sample Metadata Fields

No sample metadata fields

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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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