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GSE62173
Mus musculus
16 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Treatment of DBA/2J mice with a combination of L-methionine and valproic acid significantly attenuated progressive hearing loss. We examined gene expression in the whole cochlea of the mice. This study was aimed to detect genes of which change in expression levels were associated with attenuation of progressive hearing loss in the mice.
Publication Title
Attenuation of progressive hearing loss in DBA/2J mice by reagents that affect epigenetic modifications is associated with up-regulation of the zinc importer Zip4.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Macaca fascicularis
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Macaca fascicularis (long-tailed, cynomolgus, or crab-eating macaque) is a highly advantageous model in which to study human cochlea with regard to both evolutionary proximity and physiological similarity of the auditory system. To better understand the properties of primate cochlear function, we analyzed the genes predominantly expressed in M. fascicularis cochlea.
Publication Title
Gene expression dataset for whole cochlea of Macaca fascicularis.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 13 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We generated h-hepatocyte chimeric mice with livers that were predominantly repopulated with h-hepatocytes in a h-growth hormone (GH)-deficient state. Using microarray profiles, comparison between h-hepatocytes from h-GH-treated and untreated mice identified 14 GH-up-regulated and four GH-down-regulated genes, including IGF-1, SOCS2, NNMT, IGFLS, P4AH1, SLC16A1, and SRD5A1, and FADS1 and AKR1B10, respectively.
Publication Title
Growth hormone-dependent pathogenesis of human hepatic steatosis in a novel mouse model bearing a human hepatocyte-repopulated liver.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 30 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Myocarditis is an inflammatory disease in the heart and is mainly caused by viral infections. Viral myocarditis has been proposed to be divided into three phases; the acute viral phase, the subacute immune phase, and the chronic cardiac remodeling phase. Although individualized therapy should be applied depending on the phase, no clinical or experimental studies have found biomarkers that distinguish between the three phases of myocarditis. Theilers murine encephalomyelitis virus (TMEV) belongs to the genus Cardiovirus, and can cause myocarditis in susceptible mouse strains. Using this novel model for viral myocarditis induced with TMEV, we conducted multivariate analysis including echocardiography, serum troponin and viral RNA titration, and microarray for identifying the biomarker candidates that discriminate the three phases. Using C3H mice infected with TMEV on 4, 7, and 60 days post infection (p.i.), we conducted bioinformatics analyses, including principal component analysis (PCA) of microarray data, since our traditional cardiac and serum assays, including two-way comparison of microarray data, did not lead to the identification of a single biomarker. PCA separated heart samples clearly between the groups of 4, 7, and 60 days p.i. Representative genes contributing to the separation were as follows: 4 and 7 days p.i., innate immunity-related genes, such as Irf7, and Cxcl9; 7 and 60 days p.i., acquired immunity-related genes, such as Cd3g and H2-Aa; and cardiac remodeling-related genes, such as Mmp12 and Gpnmb. Here, sets of molecules, but not a single molecule, identified by the unsupervised PCA, were found to be useful as the phase-specific biomarkers.
Publication Title
Bioinformatics multivariate analysis determined a set of phase-specific biomarker candidates in a novel mouse model for viral myocarditis.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Mus musculus
- 24 Downloadable Samples
Illumina HiSeq 2500
Description
Background: Increasing evidence indicates stem cell transplantation may be an effective stroke treatment but little is known about the direct impact of transplanted cells on injured brain tissue. We investigated the effects of lineage negative murine hematopoietic stem/progenitor cells (HSPCs) on the cerebral microcirculation following ischemia-reperfusion injury (I/RI). Following subsequent evaluation of the mRNA transcriptome of the explanted HSPCs, we assessed whether metallothionein (MT)-1, (increased in explanted HSPCs from I/R mice) administration was able to evoke similar neuro-protection following cerebral I/RI. Methods and Results: Murine HSPCs administered intravenously 24 hours (h) post cerebral I/R were selectively recruited to the brain of I/RI mice. Mice treated with HSPCs displayed decreased disease severity for up to 2-weeks post cerebral I/R, as evidenced by decreased mortality rate, decreased infarct volume, improved functional outcome, reduced microglial activation and elevated plasma levels of anti-inflammatory interleukin-10. Using confocal intravital microscopy, we found that transplanted cells had emigrated into the brain parenchyma and that RNA-seq analysis of explanted HSPCs indicated significantly increased levels of metallothionein transcripts, in particular MT-1. We further determined that treatment of mice with MT-1 significantly reduced neurological score and IV. Conclusions: These studies provide further evidence for HSPCs as a promising therapeutic strategy in promoting repair following cerebral I/RI, potentially via a MT-1 mechanism. Overall design: Murine HSPCs were administered into mice with I/RI intravenously 24 hours post cerebral I/R and selectively recruited to the brain. RNA profiles of explanted HSPCs were determined by RNA sequencing.
Publication Title
Metallothionein I as a direct link between therapeutic hematopoietic stem/progenitor cells and cerebral protection in stroke.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
KRAP (Ki-ras-induced actin-interacting protein) is a cytoskeleton-associated protein and a ubiquitous protein among tissues, originally identified as a cancer-related molecule. KRAP-deficient (KRAP-/-) mice show enhanced metabolic rate, decreased adiposity, improved glucose tolerance, hypoinsulinemia and hypoleptinemia. KRAP-/- mice are also protected against high-fat diet-induced obesity and insulin resistance despite of hyperphagia.
Publication Title
Altered energy homeostasis and resistance to diet-induced obesity in KRAP-deficient mice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 118 Downloadable Samples
- NextSeq 500
Description
Theiler's murine encephalomyelitis virus (TMEV) induces different diseases in the central nervous system (CNS) and heart, depending on the mouse strains and time course, where cytokines play a key role for viral clearance and immune-mediated pathology (immunopathology). In SJL/J mice, TMEV infection causes chronic TMEV-induced demyelinating disease (TMEV-IDD) in the spinal cord around 1 month post infection (p.i.). Unlike other immunopathology models, both pro-inflammatory and anti-inflammatory cytokines can play dual roles in TMEV-IDD. Pro-inflammatory cytokines play a beneficial role in viral clearance while they also play a detrimental role in immune-mediated demyelination. Anti-inflammatory cytokines suppress not only protective anti-viral immune responses but also detrimental autoreactive immune responses. On the other hand, in C3H mice, TMEV infection induces a non-CNS disease, myocarditis, with three phases: phase I, viral pathology with interferon and chemokine responses; phase II, immunopathology mediated by acquired immune responses; and phase III, cardiac fibrosis. Although the precise mechanism how a single virus, TMEV, induces the distinct diseases in different organs is unclear, principal component analysis (PCA) of transcriptome data allows us to identify the key factors contributing to distinct immunopathology. The PCA demonstrated that in vitro infection of a cardiomyocyte cell line could reproduce the transcriptome profile of phase I in TMEV-induced myocarditis; distinct interferon/chemokine-related responses were induced in vitro in infected cardiomyocytes, but not in infected neuronal cells. In addition, the PCA of in vivo CNS transcriptome data showed that decreased lymphatic marker expression was associated with inflammation in TMEV infection. Here, dysfunction of lymphatic vessels may contribute to immunopathology by delaying clearance of cytokines and immune cells from the inflammatory site, although this might confine the virus at the site, preventing virus spread via lymphatic vessels. On the other hand, in the heart, dysfunction of lymphatics was associated with reduced lymphatic muscle contractility by pro-inflammatory cytokines. Therefore, TMEV infection could induce different cytokine expressions as well as lymphatic vessel dysfunction by the distinct mechanism between the CNS and heart, which might contribute to organ-specific immunopathology. Overall design: Transcriptome analysis of spinal cords from TMEV-infected mice at 4, 7, and 35 days post infection.
Publication Title
Bioinformatics Analysis of Gut Microbiota and CNS Transcriptome in Virus-Induced Acute Myelitis and Chronic Inflammatory Demyelination; Potential Association of Distinct Bacteria With CNS IgA Upregulation.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject, Time
View Samples- Mus musculus
- 10 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Analysis of gastrocnemius from male wild type(WT) and Skn-1-deficient mice. Skn-1-deficient mice have reduced body weight with low body fat due to increased energy expenditure.
Publication Title
Catecholamines Facilitate Fuel Expenditure and Protect Against Obesity via a Novel Network of the Gut-Brain Axis in Transcription Factor Skn-1-deficient Mice.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Homo sapiens
- 56 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Multi-omics study was conducted to elucidate the crucial molecular mechanisms of primary Sjgrens syndrome (SS) pathology. We generated multiple data set from well-defined patients with SS, which includes whole-blood transcriptomes, serum proteomes and peripheral immunophenotyping. Based on our newly generated data, we performed an extensive bioinformatic investigation. Our integrative analysis identified SS gene signatures (SGS) dysregulated in widespread omics layers, including epigenomes, mRNAs and proteins. SGS predominantly involved the interferon signature and ADAMs substrates. Besides, SGS was significantly overlapped with SS-causing genes indicated by a genome-wide association study and expression trait loci analyses. Combining the molecular signatures with immunophenotypic profiles revealed that cytotoxic CD8 T cells were associated with SGS. Further, we observed the activation of SGS in cytotoxic CD8 T cells isolated from patients with SS. Our multi-omics investigation identified gene signatures deeply associated with SS pathology and showed the involvement of cytotoxic CD8 T cells. These integrative relations across multiple layers will facilitate our understanding of SS at the system level.
Publication Title
Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren's syndrome.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Homo sapiens
- 48 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Multi-omics study was conducted to elucidate the crucial molecular mechanisms of primary Sjgrens syndrome (SS) pathology. We generated multiple data set from well-defined patients with SS, which includes whole-blood transcriptomes, serum proteomes and peripheral immunophenotyping. Based on our newly generated data, we performed an extensive bioinformatic investigation. Our integrative analysis identified SS gene signatures (SGS) dysregulated in widespread omics layers, including epigenomes, mRNAs and proteins. SGS predominantly involved the interferon signature and ADAMs substrates. Besides, SGS was significantly overlapped with SS-causing genes indicated by a genome-wide association study and expression trait loci analyses. Combining the molecular signatures with immunophenotypic profiles revealed that cytotoxic CD8 T cells were associated with SGS. Further, we observed the activation of SGS in cytotoxic CD8 T cells isolated from patients with SS. Our multi-omics investigation identified gene signatures deeply associated with SS pathology and showed the involvement of cytotoxic CD8 T cells. These integrative relations across multiple layers will facilitate our understanding of SS at the system level.
Publication Title
Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren's syndrome.
Sample Metadata Fields
Sex, Specimen part, Disease, Disease stage, Subject
View Samples