RNA-seq and expression profile of WT and ZFP57 KO ES cells Overall design: RNA was extracted from both cell lines, PolyA RNA were extracted and RNA-seq was performed
In embryonic stem cells, ZFP57/KAP1 recognize a methylated hexanucleotide to affect chromatin and DNA methylation of imprinting control regions.
Specimen part, Subject
View SamplesVoluntary 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
Voluntary Running Suppresses Tumor Growth through Epinephrine- and IL-6-Dependent NK Cell Mobilization and Redistribution.
Sex, Specimen part
View SamplesSkeletal 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.
Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.
No sample metadata fields
View SamplesSkeletal 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.
Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genome-wide profiling identifies a DNA methylation signature that associates with TET2 mutations in diffuse large B-cell lymphoma.
Specimen part
View SamplesGlobal 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.
Genome-wide profiling identifies a DNA methylation signature that associates with TET2 mutations in diffuse large B-cell lymphoma.
Specimen part
View SamplesThe aim of the present study was to compare, on a statistical basis, the performance of different microarray platforms to detect differences in gene expression in a realistic and challenging biological setting. Gene expression profiles in the hippocampus of five wild-type and five transgenic C-doublecortin-like kinase mice were evaluated with five microarray platforms: Applied Biosystems, Affymetrix, Agilent, Illumina and home-spotted oligonucleotide arrays. We observed considerable overlap between the different platforms, the overlap being better detectable with significance level-based ranking than with a p-value based cut-off. Confirming the qualitative agreement between platforms, Pathway analysis consistently demonstrated aberrances in GABA-ergic signalling in the transgenic mice, even though pathways were represented by only partially overlapping genes on the different platforms.
Can subtle changes in gene expression be consistently detected with different microarray platforms?
No sample metadata fields
View SamplesRett syndrome (RTT) is an X-linked dominant neurodevelopmental disorder caused by mutations in MECP2, encoding methyl-CpG binding protein 2. MeCP2 is a transcriptional repressor elevated in mature neurons and is predicted to be required for neuronal maturation by regulating multiple target genes. Identifying primary gene targets in either Mecp2-deficient mice or human RTT brain has proven to be difficult, perhaps because of the transient requirement for MeCP2 during neuronal maturation. In order to experimentally control the timing of MeCP2 expression and deficiency during neuronal maturation, human SH-SY5Y cells undergoing mature neuronal differentiation were transfected with methylated MeCP2 oligonucleotide decoy to disrupt the binding of MeCP2 to endogenous targets. Genome-wide expression microarray analysis identified all four known members of the inhibitors of differentiation or inhibitors of DNA binding (ID1, ID2, ID3 and ID4) subfamily of helix-loop-helix (HLH) genes as novel neuronal targets of MeCP2. Chromatin immunoprecipitation analysis confirmed binding of MeCP2 near or within the promoters of ID1, ID2 and ID3, and quantitative RT-PCR confirmed increased expression of all four Id genes in Mecp2-deficient mouse brain. All four ID proteins were significantly increased in Mecp2-deficient mouse and human RTT brain using immunofluorescence and laser scanning cytometric analyses. Because of their involvement in cell differentiation and neural development, ID genes are ideal primary targets for MeCP2 regulation of neuronal maturation that may explain the molecular pathogenesis of RTT.
Inhibitors of differentiation (ID1, ID2, ID3 and ID4) genes are neuronal targets of MeCP2 that are elevated in Rett syndrome.
No sample metadata fields
View SamplesUterine tissue is highly responsive to estrogen, which plays a mayor role in sympathetic innervation remodeling in myometrium
Neurotrimin is an estrogen-regulated determinant of peripheral sympathetic innervation.
No sample metadata fields
View SamplesExponentially growing cells and type II persister cells from the DS1-(hipQ)-strain
Novel protocol for persister cells isolation.
Specimen part, Disease, Cell line
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