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accession-icon SRP042091
Genome-wide expression profiles in young and old mouse liver [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is accompanied by physiological impairments, which, in insulin-responsive tissues, including the liver, predispose individuals to metabolic disease. However, the molecular mechanisms underlying these changes remain largely unknown. Here, we analyze genome-wide profiles of RNA and chromatin organization in the liver of young (3 months) and old (21 months) mice. Transcriptional changes suggest that de-repression of the nuclear receptors PPARa, PPAR?, and LXRa in aged mouse liver leads to activation of targets regulating lipid synthesis and storage, whereas age-dependent changes in nucleosome occupancy are associated with binding sites for both known regulators (forkhead factors and nuclear receptors) and for novel candidates associated with nuclear lamina (Hdac3 and Srf) implicated to govern metabolic function of aging liver. Winged-helix factor Foxa2 and nuclear receptor co-repressor Hdac3 exhibit reciprocal binding pattern at PPARa targets contributing to gene expression changes that lead to steatosis in aged liver. Overall design: Genome-wide expression profiles (RNA-Seq) from young (3 months) and old (21 months) mouse livers

Publication Title

Changes in nucleosome occupancy associated with metabolic alterations in aged mammalian liver.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63239
Genome-wide microarray analysis of human fibroblasts in response to indomethacin and nimesulide.
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Establishment of a transcriptomic profile of human cells treated with genistein with particular emphasis on signature of genes coding for enzymes involved in glycosaminoglycan synthesis stands for the present study. The hypothesis tested was that indomethacin and nimesulide influence expression of some genes among which are those coding for enzymes required for synthesis of different GAGs being pathologically accumulated in mucopolysaccharidoses. Results provide important information concerning the extent of action of indomethacin and nimesulide at the molecular level in terms of modulation of gene expression by these substances.

Publication Title

Nonsteroidal anti-inflammatory drugs modulate cellular glycosaminoglycan synthesis by affecting EGFR and PI3K signaling pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE61396
Identification of candidate rhinovirus C (RV-C) receptors by gene expression analysis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Members of rhinovirus C (RV-C) species are more likely to cause wheezing illnesses and asthma exacerbations compared to other rhinoviruses. The cellular receptor for these viruses was heretofore unknown. We measured gene expression (Human Gene 1.0 ST Array, Affymetrix) in two series of experiments involving cells that were either susceptible or not susceptible to RV-C infection. In one experimental series, susceptible cells included whole sinus mucosal tissue specimens (n = 5), epithelial cell suspension from sinus tissue, and nasal epithelium obtained via brushing, while non-susceptible cells included monolayers of primary undifferentiated epithelial cells and transformed cell lines (n = 5). In a second experimental series, we compared three pairs of undifferentiated and fully differentiated (ALI) sinus epithelial cell cultures. We identified a total of 12 genes upregulated in RV-C susceptible cells (represented by 14 probe sets) encoding proteins localized to plasma membrane, and/or with predicted or functionally demonstrated receptor activity, including members of the Human MHC class II, stomatin, guanine nucleotide-binding, type I cytokine and atypical chemokine receptor and cadherin protein families.

Publication Title

Cadherin-related family member 3, a childhood asthma susceptibility gene product, mediates rhinovirus C binding and replication.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE111843
The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10 (lncRNA ANRIL exon 13)
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To identify genes that are regulated from the lncRNA ANRIL (EXON 13), we designed inducible short hairpin RNA constructs and stable integrated them into HEK cells

Publication Title

The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10.

Sample Metadata Fields

Disease

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accession-icon GSE111844
Linear isoforms of the long noncoding RNA CDKN2B-AS1 regulate the c-myc-enhancer binding factor RBMS1
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To identify genes that are regulated from the lncRNA ANRIL (EXON19), we designed inducible short hairpin RNA constructs and stable integrated them into HEK cells

Publication Title

Linear isoforms of the long noncoding RNA CDKN2B-AS1 regulate the c-myc-enhancer binding factor RBMS1.

Sample Metadata Fields

Disease

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accession-icon GSE31684
Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Urothelial carcinoma of the bladder is characterized by significant variability in clinical outcomes depending on stage and grade. The addition of molecular information may improve our understanding of such heterogeneity and enhance prognostic prediction. The purpose of this study was to validate and improve published prognostic signatures for high-risk bladder cancer.

Publication Title

Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer.

Sample Metadata Fields

Sex

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accession-icon GSE19844
affy_xoo_rice-Transcriptomics-based identification of Xoo strain BAI3 Talc targets in rice
  • organism-icon Oryza sativa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

affy_xoo_rice - affy_xoo_rice - The Bacterial Leaf Blight disease of rice is due to Xanthomonas oryzae pv. oryzae. As for many pathogenic bacteria, it relies on a type 3 secretion system that is devoted to the injection of type 3 effectors into the eukaryotic host cell. These proteins are meant to suppress host basal defense responses and/or mimic some host regulatory function promoting bacterial survey in the plant. We are interested in the functional analysis of a subgroup of Xoo T3Es, that are specialized in host cell transcriptome remodelling. These effectors, therefore called TAL for Transcription Activator-Like proteins (also named AvrBs3/PthA-like), are often key virulence factors essential to Xoo pathogenicity such as the effector protein Talc of african Xoo strain BAI3. Our goal is to understand its function during disease development, by identifying rice host genes that are being directly up- or down-regulated by Talc. To that end, we aim at performing Affymetrix transcriptomic analysis, comparing leaf samples of a susceptible rice line inoculated with Xoo to leaves challenged with a Talc-deficient mutant and water-treated leaves. Highly induced genes are likely to be Talc primary targets and therefore potentially good susceptibility gene candidates.-The goal of the experiment is to identify the rice genes up- or down-regulated by the type III effector Talc from Xoo African strain BAI3, upon the inoculation of susceptible rice leaves 24 hours post-infection. To that end, the experimental design includes the inoculation of Nipponbare rice leaves with the virulent Xoo strain BAI3, that will be compared to Nipponbare rice leaves inoculated with a talc K.O. mutant strain and water.

Publication Title

Colonization of rice leaf blades by an African strain of Xanthomonas oryzae pv. oryzae depends on a new TAL effector that induces the rice nodulin-3 Os11N3 gene.

Sample Metadata Fields

Specimen part

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accession-icon SRP171164
Linking cell dynamics with coexpression networks to characterize key events in chronic virus infections
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The host immune response against an infection requires the coordinated action of many diverse cell subsets that dynamically adapt to the pathogen threat. Here we combined WGCNA and DCQ to analyse time-resolved mouse splenic transcriptomes in acute and chronic LCMV infections. This approach allowed to better characterize the dynamic cell events occurring in complex tissues such as the induction of the adaptive T cell response which requires the coordination of monocytes/macrophages and CD8+ T cells. Overall design: mRNA profiles of CD8 T cells and macrophages (in duplicate days 0 and 7 post-infection) from C57BL/6 mice infected with 2x10E2 pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP126449
Suppressive and stimulatory host processes during virus infection fate decisions
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus - immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. Here we characterized the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections by gene coexpression network analysis of time-resolved splenic transcriptomes. We found first, an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase. Overall design: mRNA profiles of spleens (in duplicate, days 0, 3, 5, 6, 7, 9 and 31 post-infection) and macrophages (in triplicate, day 6 post-infection) from C57BL/6 mice infected with 2x10E2 (acute) or 2x10E6 (chronic) pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Systems analysis reveals complex biological processes during virus infection fate decisions.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP126161
Expression profiling of mouse eosinophils and myeloid progenitors
  • organism-icon Mus musculus
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We have sequenced using single end and paired end sequencing GMPs, CMPs, EoPs, SiglecF+IL5ra- GMPs and eosinophils to be able to characterise this new subset of GMPs and to be able to give it some context within a lineage trajectory analysis Overall design: RNA-seq was performed on GMPs (n=2), CMPs (n=2), EoPs (n=2), Eosinophils (n=3) and SiglecF+IL5ra- GMPs isolated from C57BL/6 (n=5) and Myb hypomorphic Plt4/Plt4 mice (n=4).

Publication Title

Identification of a Siglec-F+ granulocyte-macrophage progenitor.

Sample Metadata Fields

Specimen part, Cell line, 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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