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accession-icon GSE51223
Adipose subtype-selective recruitment of TLE3 in thermogenic gene programs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptional effectors of white adipocyte-selective gene expression have not been described. TLE3 is a white-selective cofactor that acts reciprocally with the brown-selective cofactor Prdm16 to specify lipid storage and thermogenic gene programs.

Publication Title

Adipose subtype-selective recruitment of TLE3 or Prdm16 by PPARγ specifies lipid storage versus thermogenic gene programs.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE44261
Gene expression data from mouse CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Determing the influence of lipid metabolism on murine T cell blastogenesis. Gene expression studies from purified spleen and lymph node T cells with conditional deletion of the SREBP Cleavage Activating Protein (SCAP) ex vivo or activated with plate-bound anti-CD3 and CD28 antibodies for 6 h.

Publication Title

Sterol regulatory element-binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP139376
Gene-by-sex interactions in mitochondrial functions and tissue-specific gene expression in cardio-metabolic traits
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report a multi-omic study of sex differences and gene-by-sex interactions across a panel of 100 inbred strains of mice (the Hybrid Mouse Diversity Panel, HMDP), with a focus on metabolic and cardiovascular traits. For all traits examined, including obesity, insulin resistance, fatty liver, atherosclerosis, and gut microbiota composition, sex differences were influenced by genetic background. Loci identified by genome-wide association studies (GWAS) of the traits were frequently influenced by sex. Lyplal1, a gene implicated in human obesity, was shown to underlie a sex-specific locus for diet induced obesity. Many of the sex-dependent traits showed interdependencies as judged by correlation and shared gene expression patterns, indicating higher order regulation. Global gene expression analyses of tissues across the HMDP indicated that sex differences in mitochondrial functions in adipose contributed to many of the traits. Consistent with this, we observed that females tended to be more resistant to the adverse effects of a high fat diet, with smaller adipocytes and increased “browning” of white adipose tissue as compared to males. Sex-specific differences in mitochondrial activity were confirmed by examining respiration of isolated mitochondria. Gonadectomy experiments revealed thousands of genes influenced by sex hormones. In liver, a tissue exhibiting particularly strong differences in gene expression between tissues, sex hormones appeared to be the primary driver of the differences, whereas in adipose organizational effects of sex appeared to be more important. Overall design: Sixteen male and sixteen female C57BL/6J were purchased from The Jackson Laboratory (Bar Harbor). Mice were either maintained on a chow diet (Ralston Purina Company) or placed on an HF/HS diet (Research Diets D12266B) at 8 weeks of age until 16 weeks of age. At 6 weeks of age the mice were gonadectomized under isoflurane anesthesia. Scrotal regions of male mice were bilaterally incised, testes removed, and the incisions closed with wound clips. Ovaries of female mice were removed through an incision just below the rib cage. There were four mice per group. The muscle layer was sutured, and the incision closed with wound clips. In sham-operated control mice, incisions were made and closed as described above. The gonads were briefly manipulated, but remained intact. Gonadal fat and liver samples were taken for RNASeq expression profiling.

Publication Title

Gene-by-Sex Interactions in Mitochondrial Functions and Cardio-Metabolic Traits.

Sample Metadata Fields

Sex, Age, Cell line, Treatment, Subject

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accession-icon SRP099043
IL-10 signaling remodels adipose chromatin architecture to limit thermogenesis and energy expenditure [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 4000

Description

Signaling pathways that promote adipose tissue thermogenesis are well characterized, but the physiologic limiters of energy expenditure are largely unknown. Here we show that ablation of the anti-inflammatory cytokine IL-10 improves insulin sensitivity, protects against diet-induced obesity, and elicits the browning of white adipose tissue. Mechanistic studies define bone marrow cells as the source of the IL-10 signal and mature adipocytes as the target cell type mediating these effects. IL-10 receptor alpha is highly enriched in mature adipocytes and is induced in response to cold, obesity and aging. ATAC-seq and RNA-seq reveal that IL-10 represses the transcription of thermogenic genes in adipocytes by altering chromatin accessibility and inhibiting ATF and PGC-1alpha recruitment to key enhancer regions. These findings identify the IL-10 axis as a critical and potentially targetable regulator of thermogenesis, and expand our understanding of the links between inflammatory signaling and adipose tissue function in the setting of obesity. Overall design: Immortalized brown/beige-like preadipocyte cell line(iBAd Cells) was used for ATAC-Seq and mRNA-Seq. For RNA-Seq, triplicate experiments were performed, for ATAC-Seq individual samples were sequenced after 5 days of differentiation with either control treatment, or including IL-10 overnight prior to addition of Isoproterenol for 5-6 hours. Inguinal White adipose tissue was used for RNA-Seq from either WT or IL-10-/- animals, where 11 IL10-/- mice and 9 WT mice were seperately pooled for library construction and sequencing.

Publication Title

IL-10 Signaling Remodels Adipose Chromatin Architecture to Limit Thermogenesis and Energy Expenditure.

Sample Metadata Fields

Cell line, Subject, Time

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accession-icon SRP079701
The global transcriptome analysis in the time course of hESC-derived cardiac differentiation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We analyzed the global transcriptome signature over the time course of the cardiac differentiation from hESC by RNA-seq. We characterized the genome-wide transcriptome profile of 5 distinct stages; undifferentiated hESC (day 0), mesodermal precursor stage (hMP, day 2), cardiac progenitor stage (hCP, day 5), immature cardiomyocyte (hCM14) and hESC-CMS differentiated for 14 additional days (hCM28). While the stem cell signature decreases over the five stages, the signatures associated with heart and smooth muscle development increase, indicating the efficient cardiac differentiation of our protocol. Overall design: Five different temporal samples, two replicates for only first four samples day 0 through day 15

Publication Title

Glucose inhibits cardiac muscle maturation through nucleotide biosynthesis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP064735
Limiting cholesterol biosynthetic flux engages type I IFN signaling in a STING-dependent manner
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Cellular lipid requirements are achieved through a combination of biosynthesis and import programs. Using isotope tracer analysis, we show that type I interferon (IFN) signaling rapidly shifts the balance of these programs by decreasing synthesis and increasing import of cholesterol and long chain fatty acids. Genetically enforcing this metabolic shift in macrophages is sufficient to render mice resistant to viral challenge, demonstrating the importance of reprogramming the balance of these two metabolic pathways in vivo. Unexpectedly, mechanistic studies reveal that limiting flux through the cholesterol biosynthetic pathway spontaneously engages a type I IFN response in a STING-dependent manner. The upregulation of type I IFNs was traced to a decrease in the pool size of synthesized cholesterol, and could be inhibited by replenishing cells with free cholesterol. Taken together, these studies delineate a metabolic-inflammatory circuit that links perturbations in cholesterol biosynthesis with activation of innate immunity. Overall design: shRNA to SREBF1 (shSREBP1) or SREBF2 (shSREBP2) were stably introduced via 3rd generation lentivirus into human THP1 monocytic cells under puromycin selection. Non-targeting shRNA scramble was used for a control (shControl). shControl, shSREBP1 and shSREBP2 modified cell types were analyzed by RNA-seq in duplicate.

Publication Title

Limiting Cholesterol Biosynthetic Flux Spontaneously Engages Type I IFN Signaling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18590
DNMT1 Maintains Progenitor Function in Self-Renewing Somatic Tissue
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Progenitor cells maintain self-renewing tissues throughout life by sustaining their capacity for proliferation while suppressing cell cycle exit and terminal differentiation. DNA methylation provides a potential epigenetic mechanism for the cellular memory needed to preserve the somatic progenitor state through repeated cell divisions. DNA methyltransferase 1 (DNMT1) maintains DNA methylation patterns after cellular replication. Although dispensable for embryonic stem cell maintenance, a clear role for DNMT1 in maintaining the progenitor state in constantly replenished somatic tissues, such as mammalian epidermis, is uncharacterized. Here we show that DNMT1 is essential for supporting epidermal progenitor cell function. DNMT1 protein was found enriched in undifferentiated cells, where it was required to retain proliferative stamina and suppress differentiation. In tissue, DNMT1 depletion led to exit from the progenitor cell compartment, premature differentiation and eventual tissue loss. These effects correlated with DNA methylation as genome-wide analysis revealed that a significant portion of epidermal differentiation gene promoters were methylated in self-renewing conditions but were subsequently demethylated during differentiation.

Publication Title

DNMT1 maintains progenitor function in self-renewing somatic tissue.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE16623
Differential gene expression between ERRa KO and WT mouse kidneys
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Estrogen-related receptor (ERR) alpha is an orphan nuclear receptor highly expressed in the kidneys. ERRalpha is implicated in renal sodium and potassium homeostasis and blood pressure regulation. We used microarray analysis to identify differentially expressed genes in ERR alpha knockout mice kidneys versus wild-type. The results provide insight on the roles of ERRalpha in the kidney.

Publication Title

Physiological genomics identifies estrogen-related receptor alpha as a regulator of renal sodium and potassium homeostasis and the renin-angiotensin pathway.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE68882
caArray_geral-00117: Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

The identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. The mean expression value for >3,000 tumor-intrinsic genes differed by at least 3-fold between the two groups. This includes many novel ESTs not previously implicated in prostate cancer progression. Many differentially expressed genes participate in biological processes that may contribute to the clinical phenotype. One example was a strong correlation between high proliferation rates in metastatic cancers and overexpression of genes that participate in cell cycle regulation, DNA replication, and DNA repair. Other functional categories of differentially expressed genes included transcriptional regulation, signaling, signal transduction, cell structure, and motility. These differentially expressed genes reflect critical cellular activities that contribute to clinical heterogeneity and provide diagnostic and therapeutic targets.

Publication Title

Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE136758
Anti-inflammatory properties of low dose epirubicin on human macrophages
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Pico Assay HT (clariomshumanht)

Description

Low-dose epirubicin at non-cytotoxic doses down regulated NLRP3 inflammasome components and reduced the release of proinflammatory cytokines.

Publication Title

Transcriptional Suppression of the NLRP3 Inflammasome and Cytokine Release in Primary Macrophages by Low-Dose Anthracyclines.

Sample Metadata Fields

Cell line

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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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