Systems genetics uncover new loci containing functional gene candidates in Mycobacterium tuberculosis-infected Diversity Outbred mice
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PROVIDER: PRJNA1109332 | ENA |
REPOSITORIES: ENA
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Project description:Mycobacterium tuberculosis infects two billion people across the globe, and results in 8-9 million new tuberculosis (TB) cases and 1-1.5 million deaths each year. Most patients have no known genetic basis that predisposes them to disease. Here, we investigate the complex genetic basis of pulmonary TB by modelling human genetic diversity with the Diversity Outbred mouse population. When infected with M. tuberculosis, one-third develop early onset, rapidly progressive, necrotizing granulomas and succumb within 60 days. The remaining develop non-necrotizing granulomas and survive longer than 60 days. Genetic mapping using immune and inflammatory mediators; and clinical, microbiological, and granuloma correlates of disease identified five new loci on mouse chromosomes 1, 2, 4, 16; and three known loci on chromosomes 3 and 17. Further, multiple positively correlated traits shared loci on chromosomes 1, 16, and 17 and had similar patterns of allele effects, suggesting these loci contain critical genetic regulators of inflammatory responses to M. tuberculosis. To narrow the list of candidate genes, we used a machine learning strategy that integrated gene expression signatures from lungs of M. tuberculosis-infected Diversity Outbred mice with gene interaction networks to generate scores representing functional relationships. The scores were used to rank candidates for each mapped trait, resulting in 11 candidate genes: Ncf2, Fam20b, S100a8, S100a9, Itgb5, Fstl1, Zbtb20, Ddr1, Ier3, Vegfa, and Zfp318. Although all candidates have roles in infection, inflammation, cell migration, extracellular matrix remodeling, or intracellular signaling, and all contain single nucleotide polymorphisms (SNPs), SNPs in only four genes (S100a8, Itgb5, Fstl1, Zfp318) are predicted to have deleterious effects on protein functions. We performed methodological and candidate validations to (i) assess biological relevance of predicted allele effects by showing that Diversity Outbred mice carrying PWH/PhJ alleles at the H-2 locus on chromosome 17 QTL have shorter survival; (ii) confirm accuracy of predicted allele effects by quantifying S100A8 protein in inbred founder strains; and (iii) infection of C57BL/6 mice deficient for the S100a8 gene. Overall, this body of work demonstrates that systems genetics using Diversity Outbred mice can identify new (and known) QTLs and functionally relevant gene candidates that may be major regulators of complex host-pathogens interactions contributing to granuloma necrosis and acute inflammation in pulmonary TB.
2024-06-15 | GSE267006 | GEO
Project description:Diversity Outbred Liver RNASeq
| PRJNA356251 | ENA
Project 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. Keywords: genetic association study in outbred mice
2008-08-22 | GSE10280 | GEO
Project description:We measured genome-wide chromatin accessibility of embryonic stem cells derived from Diversity Outbred mice. We cultured cells in media with LIF + GSK3-beta inhibitor CHIR99021.
2020-08-13 | E-MTAB-8759 | biostudies-arrayexpress
Project description:We generated a genomic and phenotypic resource comprising genetically outbred mice in which we measured (i) quantitative differences in wound healing indicated as ear area (ii) bone marrow derived macrophage (BMDM) mRNA expression by RNA-sequencing (RNA-seq), (iii) genome-wide SNPs genotyping by low-coverage sequencing.We performed gene co-expression network analysis and we identified a network in macrophages enriched in cholesterol genes which is genetically controlled by Runx2 gene. In vivo pharmacological blockage of Fasn with cerulenin showed delayed wound healing in rats and increased macrophage recruitment to the wound.
2019-01-11 | GSE112171 | GEO
Project description:The directed differentiation of pluripotent stem cells (PSCs) from panels of genetically diverse individuals is emerging as a powerful experimental system for understanding genotype-phenotype relationships and modeling polygenic traits and disorders. Here, we establish a genetic reference panel of naïve and primed PSCs (n = 250) from the Diversity Outbred (DO) mouse stock to enable high resolution quantitative trait locus mapping of molecular phenotypes in developing cellular systems. These data, methods, and cellular resources provide a roadmap for population-scale studies to dissect the genetic basis of complex traits that will complement and empower similar studies in human populations.
2024-07-21 | GSE272490 | GEO
Project description:Genome-wide association studies (GWASs) for osteoporotic traits have identified over 1000 associations; however, their impact has been limited by the difficulties of causal gene identification and a strict focus on bone mineral density (BMD). Here, we use Diversity Outbred (DO) mice to directly address these limitations by performing a systems genetics analysis of 55 complex skeletal phenotypes. We apply a network approach to cortical bone RNA-seq data to discover 66 genes likely to be causal for human BMD GWAS associations, including the genes SERTAD4 and GLT8D2. We also perform GWAS in the DO for a wide-range of bone traits and identify Qsox1 as a gene influencing cortical bone accrual and bone strength. In this work, we advance our understanding of the genetics of osteoporosis and highlight the ability of the mouse to inform human genetics.
| S-EPMC8184749 | biostudies-literature
Project description:We measured genome-wide gene expression of embryonic stem cells derived from Diversity Outbred mice. We cultured cells in media with LIF + GSK3-beta inhibitor CHIR99021. All lines were passage 3-8 when RNA was collected. We obtained RNA-Seq from technical replicate cultures for three cell lines.
2020-08-13 | E-MTAB-7728 | biostudies-arrayexpress
Project description:Whole transcriptome RNA sequencing in primary fibroblasts of outbred Peromyscus maniculatus was generated to explore the degree of coordination in gene expression.
2021-06-29 | GSE179058 | GEO
Project description:Obesity is a polygenic disorder with variable penetrance in the general population. Brown adipose tissue (BAT) is a major regulator of energy expenditure and metabolic physiology due to a specialized proteome that orchestrates futile metabolic cycles, which could be leveraged to treat obesity. However, nearly all mechanistic studies of BAT protein function occur in a single inbred mouse strain, which has limited understanding of generalizable mechanisms of BAT regulation over metabolism. Here we perform deep quantitative multiplexed proteomics of BAT across a cohort of 163 genetically defined Diversity Outbred (DO) mice, a model that parallels the genetic and phenotypic variation found in the human population. Leveraging the high variation afforded by this model, we define the functional architecture of the outbred BAT proteome, comprising 10,479 proteins. In doing so, we assign novel co-operative functions to 2,578 proteins with 780 established protein networks. We demonstrate that this analytic framework enables systematic discovery of regulators of BAT function, exemplified by uncovering SFXN5 and LETMD1 as modulators of UCP1-dependent thermogenesis. We also identify 638 proteins that underlie protection from, or sensitivity to, at least one parameter of metabolic disease. From this basis, we identify the Na+/K+- ATPase α2 subunit as an inhibitor of BAT energy expenditure, that increases adiposity through antagonism of calcium influx-dependent activation of thermogenic effectors. We provide this Outbred Proteomic Architecture as a resource for understanding conserved mechanisms of BAT regulation over metabolic physiology.
2022-11-08 | PXD036947 | Pride