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Mus musculus
12 Downloadable Samples
Illumina HiSeq 4000
Description
We used two RNA-Seq methods to measure the the global transcription levels in mouse liver cells. The data here provide insight into the pros and cons of whole transcript method and 3' RNA-Seq method. Overall design: KAPA (whole transcript method) and Lexogen (3' RNA-Seq method) were used to compare global expression in 6 mice of two conditions: 1) 3 normal diet mice 2) 3 iron-loaded diet mice.
Publication Title
A comparison between whole transcript and 3' RNA sequencing methods using Kapa and Lexogen library preparation methods.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Subject
View Samples- Mus musculus
- 208 Downloadable Samples
Illumina MouseRef-8 v2.0 expression beadchip
Description
Transcriptomes performed on left ventricular heart samples from mice of the hybrid mouse diversity panel, a set of over a hundred inbred strains of mice. In this project, the strains were challenged with Isoproterenol, a beta-adrenergic agonist to induce cardiac hypertrophy and failure. Results are useful for the analysis of heart-related traits in mice
Publication Title
Genetic Dissection of Cardiac Remodeling in an Isoproterenol-Induced Heart Failure Mouse Model.
Sample Metadata Fields
Sex, Specimen part
View Samples
GSE38120- Mus musculus
- 188 Downloadable Samples
- Affymetrix HT Mouse Genome 430A Array (htmg430a)
Description
Identify genes in the aorta whose expressions under genetic regulation in the Hybrid Mouse Diversity Panel (HMDP). The HDMP is comprised of classical inbred and recombinant inbred wild-type mice. The RMA values of genes were used for genome-wide association as described in Bennett et al. Genome Research 2010 (PMID 20054062). These data were used to identify candidate genes at loci associated with atherosclerosis.
Publication Title
High-resolution association mapping of atherosclerosis loci in mice.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 110 Downloadable Samples
- Sentrix MouseRef-8 Expression BeadChip
Description
Linkage analysis of complex traits in mice is a powerful tool to find loci affecting the phenotype but it has a poor resolution making it difficult to identify the underlying genes. We show here, using whole genome association analysis of gene expression traits in an outbred mouse population, the MF1 stock, that mapping resolution is greatly increased as compared to linkage. The fact that eQTLs discovered in other crosses were replicated and successfully mapped with high resolution in this population provides a strong proof of concept. In addition, we show that this population is a useful resource to resolve the eQTL hotspots detected in other studies. Finally, we highlight the importance of correcting for population structure in whole genome association studies in the outbred stock.
Publication Title
High-resolution mapping of gene expression using association in an outbred mouse stock.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina HiSeq 2500
Description
Background: Humans with metabolic and inflammatory diseases frequently harbor lower levels of butyrate-producing bacteria in their gut. However, it is not known whether variation in the levels of these organisms is causally linked with disease development and whether diet modifies the impact of these bacteria on health. Results: We use germ-free apolipoprotein E-deficient mice colonized with synthetic microbial communities that differ in their capacity to generate butyrate to demonstrate that Roseburia intestinalis interacts with dietary components to (i) impact gene expression in the intestine, directing metabolism away from glycolysis and toward fatty acid utilization, (ii) improve intestinal barrier function, (iii) lower systemic inflammation and (iv) ameliorate atherosclerosis. Furthermore, intestinal administration of butyrate improves gut barrier function and reduces atherosclerosis development. Conclusions: Altogether, our results illustrate how modifiable diet-by-microbiota interactions impact cardiovascular disease, and suggest that interventions aimed at increasing the representation of butyrate-producing bacteria may provide protection against atherosclerosis. Overall design: Intestinal mRNA profiles of gnotobiotic ApoE KO mice colonized with "core" community or "core plus Roseburia intestinalis" were generated by deep sequencing using Illumina HiSeq.
Publication Title
Interactions between Roseburia intestinalis and diet modulate atherogenesis in a murine model.
Sample Metadata Fields
Age, Specimen part, Subject
View Samples- Mus musculus
- 424 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
In several models of obesity-induced diabetes, increased lipid accumulation in the liver has been associated with decreased diabetes susceptibility. For instance, deficiency in leptin receptor (db/db) leads to hyperphagia and obesity in both C57BL/6 and C57BLKS mice but, only on the C57BLKS background do the mice develop beta-cell loss leading to severe diabetes while C57BL/6 mice are relatively resistant. Liver triglyceride levels in the resistant C57BL/6 mice are 3 to 4 fold higher than in C57BLKS.
Publication Title
Systems genetics of susceptibility to obesity-induced diabetes in mice.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 382 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
Oxidized phospoholipids are a pro-inflammatory component of minimally modified lipoproteins that get trapped in the subendothelial space of atherosclerotic plaques of large arteries. To model the response of endothelial cells in a pro-atherosclerotic enviroment we measured the expression in primary endothelial cells with and without treatment with oxidized phsopolipids from 96 genetically identical donors of anonymous origin.
Publication Title
Systems genetics analysis of gene-by-environment interactions in human cells.
Sample Metadata Fields
Sex, Subject
View Samples- Homo sapiens
- 362 Downloadable Samples
- Illumina HiSeq 2000
Description
The genetics of messenger RNA expression has been extensively studied in humans and other organisms, but little is known about genetic factors contributing to microRNA (miRNA) expression. We examined natural variation of miRNA expression in adipose tissue in a population of 200 men who have been carefully characterized for metabolic syndrome phenotypes as part of the METSIM study. We genotyped the subjects using high-density SNP microarrays and quantified the mRNA abundance using genome-wide expression arrays and miRNA abundance using next generation sequencing. We reliably quantified 356 miRNA species that were expressed in human adipose tissue, a limited number of which made up most of the expressed miRNAs. We mapped the miRNA abundance as an expression quantitative trait and determined cis regulation of expression for 9 of the miRNAs and of the processing of one miRNA (miR-28). The degree of genetic variation of miRNA expression was substantially less than that of mRNAs. For the majority of the miRNAs, genetic regulation of expression was independent of the host mRNA transcript expression. We also showed that for 108 miRNAs, mapped reads displayed widespread variation from the canonical sequence. We found a total of 24 miRNAs to be significantly associated with metabolic syndrome traits. We suggest a regulatory role for miR-204-5p which was predicted to inhibit ACACB, a key fatty acid oxidation enzyme that has been shown to play a role in regulating body fat and insulin resistance in adipose tissue. Overall design: miRNA expression profiling of adipose tissue isolated from 200 humans
Publication Title
Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits.
Sample Metadata Fields
Age, Specimen part, Subject
View Samples- Mus musculus
- 282 Downloadable Samples
- Illumina HiSeq 2000
Description
Previous studies had shown that integration of genome wide expression profiles, in metabolic tissues, with genetic and phenotypic variance, provided valuable insight into the underlying molecular mechanisms. We used RNA-Seq to characterize hypothalamic transcriptome in 99 inbred strains of mice from the Hybrid Mouse Diversity Panel (HMDP), a reference resource population for cardiovascular and metabolic traits. We report numerous novel transcripts supported by proteomic analyses, as well as novel non coding RNAs. High resolution genetic mapping of transcript levels in HMDP, reveals both local and trans expression Quantitative Trait Loci (eQTLs) demonstrating 2 trans eQTL "hotspots" associated with expression of hundreds of genes. We also report thousands of alternative splicing events regulated by genetic variants. Finally, comparison with about 150 metabolic and cardiovascular traits revealed many highly significant associations. Our data provides a rich resource for understanding the many physiologic functions mediated by the hypothalamus and their genetic regulation. Overall design: 282 samples, 3 biological replicates per strain
Publication Title
Hypothalamic transcriptomes of 99 mouse strains reveal trans eQTL hotspots, splicing QTLs and novel non-coding genes.
Sample Metadata Fields
Sex, Cell line, Subject
View Samples- Homo sapiens
- 72 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis.
Publication Title
Identification of inflammatory gene modules based on variations of human endothelial cell responses to oxidized lipids.
Sample Metadata Fields
Cell line, Subject
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