RATIONALE: Mechanical ventilation (MV) is an indispensable therapy for critically ill patients with acute lung injury and the adult respiratory distress syndrome. However, the mechanisms by which conventional MV induces lung injury remain unclear. OBJECTIVES: We hypothesized that disruption of the gene encoding Nrf2, a transcription factor which regulates the induction of several antioxidant enzymes, enhances susceptibility to ventilator-induced lung injury (VILI), while antioxidant supplementation attenuates such effect. METHODS: To test our hypothesis and to examine the relevance of oxidative stress in VILI, here we have assessed lung injury and inflammatory responses in Nrf2-deficient (Nrf2(-/-)) mice and wildtype (Nrf2(+/+)) animals following acute (2 h) injurious model of MV with or without administration of antioxidant. MEASUREMENTS AND MAIN RESULTS: Nrf2(-/-) mice displayed greater levels of lung alveolar and vascular permeability and inflammatory responses to MV as compared to Nrf2(+/+) mice. Nrf2-deficieny enhances the levels of several pro-inflammatory cytokines implicated in the pathogenesis of VILI. We found diminished levels of critical antioxidant enzymes and redox imbalance by MV in the lungs of Nrf2(-/-) mice; however antioxidant supplementation to Nrf2(-/-) mice remarkably attenuated VILI. When subjected to clinically relevant prolong period of MV, Nrf2(-/-) mice displayed greater levels of VILI than Nrf2(+/+) mice. Expression profiling revealed lack of induction of several VILI genes, stress response and solute carrier proteins and phosphatases in Nrf2(-/-) mice. CONCLUSIONS: Collectively, our data demonstrate for the first time a critical role for Nrf2 in VILI, which confers protection against cellular responses induced by MV by modulating oxidative stress.
Genetic and pharmacologic evidence links oxidative stress to ventilator-induced lung injury in mice.
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View SamplesRNA editing is a mutational mechanism that specifically alters the nucleotide content in sets of transcripts while leaving their cognate genomic blueprint intact. Editing has been detected from bulk RNA-seq data in thousands of distinct transcripts, but apparent editing rates can vary widely (from under 1% to almost 100%). These observed editing rates could result from approximately equal rates of editing within each individual cell in the bulk sample, or alternatively, editing estimates from a population of cells could reflect an average of distinct, biologically significant editing signatures that vary substantially between individual cells in the population. To distinguish between these two possibilities we have constructed a hierarchical Bayesian model which quantifies the variance of editing rates at specific sites using RNA-seq data from both single cells and a cognate bulk sample consisting of ~ 106 cells. The model was applied to data from murine bone-marrow derived macrophages and dendritic cells, and predicted high variance for specific edited sites in both cell types tested. We then 1 validated these predictions using targeted amplification of specific editable transcripts from individual macrophages. Our data demonstrate substantial variance in editing signatures between single cells, supporting the notion that RNA editing generates diversity within cellular populations. Such editing-mediated RNA-level sequence diversity could contribute to the functional heterogeneity apparent in cells of the innate immune system. Overall design: 26 samples were subjected to RNA-seq: 24 single WT macrophages, and 2 bulk samples (Apobec1 WT and KO macrophages), consisting of 500,000-1 million cells each.
RNA editing generates cellular subsets with diverse sequence within populations.
Specimen part, Cell line, Subject
View SamplesAssessment of the putative differential gene expression profiles in high osmolality-treated bovine nucleus pulposus intervertebral disc cells for a short (5 h) and a long (24 h) time period. Identification of novel genes up- or down-regulated as an early or a late response to hyperosmotic stress.
Deficiency in the α1 subunit of Na+/K+-ATPase enhances the anti-proliferative effect of high osmolality in nucleus pulposus intervertebral disc cells.
Specimen part
View SamplesThe metabolic syndrome (MetS) is characterized by the presence of metabolic abnormalities that include abdominal obesity, dyslipidemia, hypertension, increased blood glucose/insulin resistance, hypertriglyceridemia and increased risk for cardiovascular disease (CVD). The ApoE*3Leiden.human Cholesteryl Ester Transfer Protein (ApoE3L.CETP) mouse model manifests several features of the MetS upon high fat diet (HFD) feeding. Moreover, the physiological changes in the white adipose tissue (WAT) contribute to MetS comorbidities. The aim of this study was to identify transcriptomic signatures in the gonadal WAT of ApoE3L.CETP mice in discrete stages of diet-induced MetS.
Transcriptome analysis of the adipose tissue in a mouse model of metabolic syndrome identifies gene signatures related to disease pathogenesis.
Sex, Age, Specimen part
View SamplesWe generated de novo induced pluripotent stem cells (iPSCs) from two Parkinson’s Disease patients (PD) harboring the p.A53T mutation. iPSC-derived mutant neurons displayed disease-relevant phenotypes at basal conditions, including protein aggregation, compromised neuritic outgrowth and contorted axons with swollen varicosities containing aSyn and tau. We have performed RNA Sequencing (RNA-Seq) of neurons from PD patient and control samples. RNA sequencing has also been performed to neurons derived from HUES samples subjected to the same differentiation protocol as reference. Overall design: We have performed RNA Sequencing (RNA-Seq) in neurons PD and control samples (two clones from each individual), along with HUES-derived neurons.
Defective synaptic connectivity and axonal neuropathology in a human iPSC-based model of familial Parkinson's disease.
Specimen part, Subject
View SamplesThe development of vertebrate extremities is a complex process which requires a highly coordinated network of different transcriptional activities. The homeodomain transcription factor Shox2 is a key player in limb formation controlling neural, muscular and skeletal development.
Tbx4 interacts with the short stature homeobox gene Shox2 in limb development.
No sample metadata fields
View SamplesThe development of vertebrate extremities is a complex process which requires a highly coordinated network of different transcriptional activities. The homeodomain transcription factor Shox2 is a key player in limb formation controlling neural, muscular and skeletal development. Here, we compared gene expression profiles of wildtype and Shox2 knockout limbs using microarray experiments to identify Shox2 target genes.
Tbx4 interacts with the short stature homeobox gene Shox2 in limb development.
Specimen part
View SamplesWe used Affymetrix microarrays to understand the genome wide differences in Wildtype and Gli3 mutant (Gli3+/- and Gli3-/-) (n=2) embryonic day 18.5 DP CD69-, DP CD69+ and SP4 thymocytes.
Gli3 in fetal thymic epithelial cells promotes thymocyte positive selection and differentiation by repression of <i>Shh</i>.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Histone Methyltransferase G9a Is Required for Cardiomyocyte Homeostasis and Hypertrophy.
Treatment
View SamplesThe role of the histone mehyltrasferase G9a (also known as Ehmt2) in cardiac hypertrophy has not been studied extensively. To address how G9a promotes cardiac hypertrophy, we assessed the gene expression signature defined by G9a in cardiomyocytes (CM) of mice subject to transverse aortic constriction (TAC) for 1 wk, a surgical procedure that causes cardiac hypertrophy following the induction of pressure overload. To this end, we compared the expression profiles of CMs isolated from mice treated with the G9a inhibitor BIX-01294 and control groups (untreated and DMSO-treated mice at baseline and after TAC). The expression profiles were defined by Illumina arrays .
Histone Methyltransferase G9a Is Required for Cardiomyocyte Homeostasis and Hypertrophy.
No sample metadata fields
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