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accession-icon GSE62628
Voluntary exercise suppresses tumor growth through exercise-directed recruitment and intratumoral infiltration of NK cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Voluntary exercise reduces the risk of cancer and lowers the risk of disease recurrence. Yet the mechanisms for this protection remain to be elucidated. Here we demonstrate that exercise halves tumor growth through an exercise-dependent mobilization and intratumoral infiltration of NK cells in malignant melanoma. Using voluntary wheel running, we show that exercise prior to and during B16 tumor challenge reduced tumor growth by 67%, and this reduction was associated with increased inflammation and immune cell infiltrates, especially NK cells, in the tumors from exercising mice. Depletion of NK cells blunted the exercise-dependent reduction in tumor growth. Moreover, during exercise, NK cells were engaged through an epinephrine-dependent mobilization to the circulation and redistributed to peripheral tissues through an IL-6 dependent mechanism. This study highlights the importance of exercise-dependent immune regulation in the control of malignant melanoma

Publication Title

Voluntary Running Suppresses Tumor Growth through Epinephrine- and IL-6-Dependent NK Cell Mobilization and Redistribution.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP075806
RNA-sequencing of human skeletal myocytes from healthy, obese, and type 2 diabetic subjects
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon

Description

Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). Obesity is tightly associated with T2D, making it challenging to isolate specific effects attributed to the disease alone. By using an in vitro myocyte model system we were able to isolate the inherent properties retained in myocytes originating from donor muscle precursor cells, without being confounded by varying extracellular factors present in the in vivo environment of the donor. We generated and characterized transcriptional profiles of myocytes from 24 human subjects, using a factorial design with two levels each of the factors T2D (healthy or diseased) and obesity (non-obese or obese), and determined the influence of each specific factor on genome-wide transcription. We identified a striking similarity of the transcriptional profiles associated independently with T2D or obesity. Obesity thus presents an inherent phenotype in skeletal myocytes, similar to that induced by T2D. Through bioinformatics analysis we found a candidate epigenetic mechanism, H3K27me3 histone methylation, mediating the observed transcriptional signatures. Functional characterization of the expression profiles revealed dysregulated myogenesis and down-regulated muscle function in connection with T2D and obesity, as well as up-regulation of genes involved in inflammation and the extracellular matrix. Further on, we identified a metabolite subnetwork involved in sphingolipid metabolism and affected by transcriptional up-regulation in T2D. Collectively, these findings pinpoint transcriptional changes that are hard-wired in skeletal myocytes in connection with both obesity and T2D. Overall design: Isolated skeletal muscle precursor cells from 24 males and females (6 normal glucose tolerant, 6 obese, 6 type 2 diabetic, and 6 obese and type 2 diabetic) were differentiated in vitro and stimulated with insulin. RNA from fully differentiated myotubes sampled at 0, 0.5, 1, and 2 hours after insulin stimulation was quantified using RNA-seq (96 samples in total). The 6 base-line (0h) samples from normal glucose tolerant individuals are available under the submission GSE63887, the remaining 90 samples are contained in this submission.

Publication Title

Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP050596
RNA-sequencing of healthy human skeletal myocytes
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, IlluminaHiSeq2000

Description

Skeletal myocytes are metabolically active and susceptible to insulin resistance, thus implicated in type 2 diabetes (T2D). This complex disease involves systemic metabolic changes and their elucidation at the systems level requires genome-wide data and biological networks. Genome-scale metabolic models (GEMs) provide a network-context to integrate high-throughput data. We generated myocyte-specific RNA-seq data and investigated their correlation with proteome data. These data were then used to reconstruct a comprehensive myocyte GEM. Next, we performed a meta-analysis of six studies comparing muscle transcription in T2D versus healthy subjects. Transcriptional changes were mapped on the myocyte GEM, revealing extensive transcriptional regulation in T2D, particularly around pyruvate oxidation, branched-chain amino acid catabolism, and tetrahydrofolate metabolism, connected through the down-regulated dihydrolipoamide dehydrogenase. Strikingly, the gene signature underlying this metabolic regulation successfully classifies the disease state of individual samples, suggesting that regulation of these pathways is a ubiquitous feature of myocytes in response to T2D. Overall design: Isolated skeletal muscle precursor cells from six normal glucose tolerant and non-obese males and females were differentiated in vitro. RNA from fully differentiated myotubes was sequenced using RNA-seq.

Publication Title

Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37365
TET2 loss-of-function mutations associate with a DNA hypermethylation signature in diffuse large B-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide profiling identifies a DNA methylation signature that associates with TET2 mutations in diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE37363
TET2 loss-of-function mutations associate with a DNA hypermethylation signature in diffuse large B-cell lymphoma (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Global gene expression in TET2 mutant and Wild type patients. We performed an integrated analysis of global DNA methylation and gene expression data to investigate the effects of DNA hypermethylation on gene expression.

Publication Title

Genome-wide profiling identifies a DNA methylation signature that associates with TET2 mutations in diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE16168
Expression Profile of Embryonic Stem Cell Derived Serotonin Neurons
  • organism-icon Macaca mulatta
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

The rhesus embryonic stem cell line 366.4 differentiates into serotonin neurons. RNA was extracted from ESC colonies, embryoid body (Ebs), Neurospheres in selection (N1), Proliferating serotonin neurons (N2) and differentiating serotonin neurons (N3). RNA was labeled with Enzo biotin labelling kit and hybridized to Rhesus chip from Affymetrix.

Publication Title

Expression profile of differentiating serotonin neurons derived from rhesus embryonic stem cells and comparison to adult serotonin neurons.

Sample Metadata Fields

Cell line

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accession-icon GSE6281
Gene expression time-course in the human skin during elicitation of allergic contact dermatitis
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genes involved in the inflammatory response resulting in allergic contact dermatitis (ACD) are only partly known. In this study, we introduce the use of high density oligonucleotide arrays for gene expression profiling in human skin during the elicitation of ACD. Skin biopsies from normal and nickel-exposed skin were obtained from 7 nickel-allergic patients and 5 non-allergic controls at four different time points during elicitation of eczema: 0h, 7h, 48h and 96h. Each gene expression profile was analysed by hybridization to high density oligonucletide arrays.

Publication Title

Gene expression time course in the human skin during elicitation of allergic contact dermatitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63684
Resveratrol ameliorates Imiquimod-induced psoriasis-like skin inflammation in mice
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The polyphenol resveratrol has anti-inflammatory effects in various cells, tissues, animals and human settings of low-grade inflammation. Psoriasis is a disease of both localized and systemic low-grade inflammation. The Sirtuin1 enzyme thought to mediate the effects of resveratrol is present in skin and resveratrol is known to downregulate NF-B; a major contributor in the development of psoriasis. Consequently we investigated whether resveratrol has an effect on an Imiquimod induced psoriasis-like skin inflammation in mice and sought to identify candidate genes, pathways and interleukins mediating the observed effects. The study consisted of three treatment groups: A control group, an Imiquimod group and an Imiquimod+resveratrol group. Psoriasis severity was assessed using elements of the Psoriasis Area Severity Index, actual skin thickness measurements, and histological examination. We performed an RNA microarray from lesional skin and afterwards Ingenuity pathway analysis to identify affected signalling pathways. Our microarray was compared to a previously deposited microarray to determine if gene changes were psoriasis-like, and to a human microarray to determine if findings could be relevant in a human setting. Imiquimod treatment induced a psoriasis-like skin inflammation. Resveratrol significantly diminished the severity of the psoriasis-like skin inflammation. The RNA microarray revealed a psoriasis-like gene expression-profile in the Imiquimod treated group, and highlighted several resveratrol dependent changes in relevant genes, such as increased expression of genes associated with retinoic acid stimulation and reduced expression of genes involved in IL-17 dependent pathways (e.g.IL-17A, IL-17F,IL-23p19 ). Quantitative PCR confirmed a resveratrol dependent decrease in mRNA levels of IL-17A and IL-19; both central in developing psoriasis. In conclusion, resveratrol ameliorates psoriasis, and changes in expression of retinoic acid stimulated genes, IL-17 signalling pathways, IL-17A and IL-19 mRNA levels in a beneficial manner suggests it might have a role in the treatment of psoriasis and should be explored further in a human setting.

Publication Title

Resveratrol ameliorates imiquimod-induced psoriasis-like skin inflammation in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE14726
Gene expression profiling in hippocampal subregions in differential cognitive outcomes in aging
  • organism-icon Rattus norvegicus
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Prominent hippocampal CA3 gene expression profile in neurocognitive aging.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14723
Gene expression profiling in differential cognitive outcomes in aging: CA1
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Functional alterations in medial temporal lobe structures, particularly the hippocampus, are central to age-related deficits in episodic memory. Research in aging laboratory animals has characterized physiological and cellular alterations in the hippocampus that occur in association with the presence and severity of such cognitive impairment. The current study compares alterations across hippocampal subregions by gene expression profiling in a rat model that closely mirrors individual differences in neurocognitive features of aging humans across a spectrum of outcomes, including both impaired memory and preserved function. Using mRNA profiling of the CA1, CA3 and dentate gyrus subregions, we have distinguished between gene groups and pathways related to chronological age and those specifically associated with impaired or preserved cognitive ability in aged rats. We confirmed earlier reported changes in gene groups related to inflammation and oxidative stress in multiple subregions and found these to be more associated with chronological age than cognitive function per se. The CA3 profile was best able to segregate aged impaired, aged unimpaired and young subject groups from each other. Characterization of gene changes that distinguished preserved from impaired function among the aged animals found altered expression of synaptic plasticity and neurodegenerative disease-related genes. Together these gene changes suggest recruitment of adaptive mechanisms that mediate synaptic plasticity to maintain function and structural integrity in aged unimpaired rats that does not occur in aged impaired animals.

Publication Title

Prominent hippocampal CA3 gene expression profile in neurocognitive aging.

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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