Project description:Novel, systems-based approach to mouse genetics. Expression Profiles from 99 strains of inbred and recombinant inbred mice. Most assayed in triplicate. Two of 288 chips were excluded from the final analysis due to low QC scores.
Project description:Hepatosteatosis underlies several diseases including type 2 diabetes, cardiovascular disease and liver disease. Unfortunately, our understanding of the contributing pathways that initiate and advance hepatosteatosis to subsequent complications is still poorly understood. Here, we take advantage of recent developments in “omics” technologies to perform high resolution proteomics (>5000 proteins) and quantitative lipidomics (>300 lipids) on livers from 107 genetically diverse inbred mouse strains from the hybrid mouse diversity panel. Integration of these data allowed us to define novel regulators of lipid metabolism in the liver.
Project description:Significant advances have been made in the discovery of genes affecting bone mineral density (BMD); however, our understanding of its genetic basis remains incomplete. In the current study, genome-wide association (GWA) and co-expression network analysis was used in the recently described Hybrid Mouse Diversity Panel (HMDP) to identify and functionally characterize novel BMD genes. In the HMDP, a GWA of total body, spinal and femoral BMD revealed four significant associations (-log10P > 5.39) affecting at least one BMD trait on chromosomes (Chrs.) 7, 11, 12 and 17. The associations implicated a total of 163 genes with each association harboring between 14 and 112 genes. This list was reduced to 26 functional candidates by identifying those genes that were regulated by local eQTL in bone or harbored potentially functional non-synonymous (NS) SNPs. This analysis revealed that the most significant BMD SNP on Chr. 12 was a NS SNP in the additional sex combs like-2 (Asxl2) gene that was predicted to be functional. The involvement of Asxl2 in the regulation of bone mass was confirmed by the observation that Asxl2 knockout mice had reduced BMD. To begin to unravel the mechanism though which Asxl2 influenced BMD, a gene co-expression network was created using cortical bone gene expression microarray data from the HMDP strains. Asxl2 was identified as a member of a co-expression gene module enriched for genes involved in the differentiation of myeloid cells. In bone, osteoclasts are bone-resorbing cell of myeloid origin, suggesting that Asxl2 may play a role in osteoclast differentiation. In agreement, the knockdown of Asxl2 in bone marrow macrophages impaired their ability to form osteoclasts. This study identifies a new regulator of BMD and osteoclastogenesis and highlights the power of GWA and systems genetics in the mouse for dissecting complex genetic traits.
Project description:Significant advances have been made in the discovery of genes affecting bone mineral density (BMD); however, our understanding of its genetic basis remains incomplete. In the current study, genome-wide association (GWA) and co-expression network analysis was used in the recently described Hybrid Mouse Diversity Panel (HMDP) to identify and functionally characterize novel BMD genes. In the HMDP, a GWA of total body, spinal and femoral BMD revealed four significant associations (-log10P > 5.39) affecting at least one BMD trait on chromosomes (Chrs.) 7, 11, 12 and 17. The associations implicated a total of 163 genes with each association harboring between 14 and 112 genes. This list was reduced to 26 functional candidates by identifying those genes that were regulated by local eQTL in bone or harbored potentially functional non-synonymous (NS) SNPs. This analysis revealed that the most significant BMD SNP on Chr. 12 was a NS SNP in the additional sex combs like-2 (Asxl2) gene that was predicted to be functional. The involvement of Asxl2 in the regulation of bone mass was confirmed by the observation that Asxl2 knockout mice had reduced BMD. To begin to unravel the mechanism though which Asxl2 influenced BMD, a gene co-expression network was created using cortical bone gene expression microarray data from the HMDP strains. Asxl2 was identified as a member of a co-expression gene module enriched for genes involved in the differentiation of myeloid cells. In bone, osteoclasts are bone-resorbing cell of myeloid origin, suggesting that Asxl2 may play a role in osteoclast differentiation. In agreement, the knockdown of Asxl2 in bone marrow macrophages impaired their ability to form osteoclasts. This study identifies a new regulator of BMD and osteoclastogenesis and highlights the power of GWA and systems genetics in the mouse for dissecting complex genetic traits. RNA from cortical bone (femoral diaphysis free of marrow) were profiled from 99 Hybrid Mouse Diversity Panel strains were profiled. Sixteen-week old male mice were used in this study. A total of 1-3 mice per strain were arrayed.
Project description:To begin to understand how variations in the genome drive changes in the skeletal muscle proteome, we performed a proteomic analysis of Gastrocnemius muscle from 73 inbred mouse strains of the Hybrid Mouse Diversity Panel (HMDP) that were fed a chow diet and housed under identical environmental conditions (n=2-4; 162 mice). These data were integrated with genomic and various molecular/phenotypic data via systems genetic analysis which is a powerful forward genetics approach to identify potential new regulators of complex traits. Proteomics was performed with eighteen 10-plex tandem mass tags (TMT) experiments each consisting of 9 strains plus a pooled common internal reference. Peptides were analysed by 2D-liquid chromatography coupled to tandem mass spectrometry (2D-LC-MS/MS) resulting in the quantification of 5,350 proteins with 4,027 quantified in >50 mice and 2,069 proteins quantified in all 162 animals.
Project description:We have developed an association-based approach using classical inbred strains of mice in which we correct for population structure, which is very extensive in mice, using an efficient mixed-model algorithm. Our approach includes inbred parental strains as well as recombinant inbred strains in order to capture loci with effect sizes typical of complex traits in mice (in the range of 5% of total trait variance). Over the last few years, we have typed the hybrid mouse diversity panel (HMDP) strains for a variety of clinical traits as well as intermediate phenotypes and have shown that the HMDP has sufficient power to map genes for highly complex traits with resolution that is in most cases less than a megabase. In this essay, we review our experience with the HMDP, describe various ongoing projects, and discuss how the HMDP may fit into the larger picture of common diseases and different approaches.
Project 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
Project 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 Mice were given three weeks of ISO @ 20ug/g/day for three weeks, then sacrificed. Left ventricles from these mice and matched controls were used for transcripome analysis.
Project description:As part of the PhenoGen Project (https://phenogen.org), liver RNA-Seq data has been collected from strains of the Hybrid Rat Diversity Panel (HRDP). RNA expression levels were estimated using high throughput RNA sequencing (RNA-Seq) on long (>200 nucleotides) RNAs, i.e., total RNA where ribosomal RNA was depleted. These data can be used to examine predisposition phenotypes in the HRDP. Processed data and interactive graphics are also available through the PhenoGen website. Additional data from additional strains will be added as they become available.