Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identifying genetic loci and spleen gene coexpression networks driving immunophenotypes in the BXD panel

ABSTRACT: The immune system plays a pivotal role in susceptibility to and progression of a variety of diseases. Due to its strong genetic basis, heritable differences in immune function may contribute to differential disease susceptibility between individuals. Genetic reference populations, such as the BXD (C57BL/6J X DBA/2J) panel of recombinant inbred (RI) mouse strains, provide a unique model through which to integrate baseline phenotypes in healthy individuals with heritable risk for disease because of the ability to combine data collected from these populations across multiple studies and time. We performed basic immunophenotyping (e.g. percentage of circulating B and T lymphocytes and CD4+ and CD8+ T cell subpopulations) in peripheral blood of healthy mice from 41 BXD RI strains to define the phenotypic variation in this model system and to characterize the genetic architecture that unlerlies these traits. Significant QTL models that explained the majority (50-77%) of phenotypic variance were derived for each trait and for the T:B cell and CD4+:CD8+ ratios. Combining QTL mapping with spleen gene expression data uncovered two quantitative trait transcripts (QTTs), Ptprk and Acp1, that which are candidates for heritable differences in the relative abundance of helper and cytotoxic T cells. These data will be valuable in extracting genetic correlates of the immune system in the BXD panel. In addition, they will be a useful resource in prospective, phenotype-driven model selection to test hypotheses about differential disease or environmental susceptibility between individuals with baseline differences in the composition of the immune system.

ORGANISM(S): Mus musculus

PROVIDER: GSE19935 | GEO | 2010/03/31

SECONDARY ACCESSION(S): PRJNA122013

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Systems genetics approach to low dose radiation sensitivity in BXD recombinant inbred mice

Project description:The immune system illustrates the challenges of assigning risk to low dose radiation (LDR) exposure in a population. While high radiation doses clearly suppress immune function, a number of studies have shown that LDR affects immune cell subpopulations in ways that could be beneficial. In the intact organism, defining the consequences of LDR is further complicated by the impact of genetic background, particularly in systems such as the immune system for which both radiosensitivity and genetic effects are profound. We employed a systems genetics approach to test for heritable differences in LDR responses. Mice from 39 BXD recombinant inbred (RI) strains were exposed to 10cGy gamma radiation to determine effects on immune function and oxidative stress 48h after irradiation. LDR significantly enhanced neutrophil phagocytosis in a manner that was independent of genetic background. In contrast, genetic background significantly impacted LDR-induced changes in spleen superoxide dismutase activity. Transcriptome data from spleens of the BXD parental strains highlighted the impact of genetic background on LDR responses and also indicate that genetic variation in radiosensitivity is further unmasked at low radiation doses. Taken together, these data highlight the need to consider genetic variation when assessing LDR outcomes. Adult C57BL/6J and DBA/2J mice (10 weeks old) were exposed to low dose (10cGy) or high dose (1Gy) gamma radiation. Mice were sacrificed 24h after radiation or sham exposure & spleens were harvested for transcriptomic analysis.

2011-04-01 | E-GEOD-21562 | biostudies-arrayexpress

Systems genetics approach to low dose radiation sensitivity in BXD recombinant inbred mice

2011-04-01 | GSE21562 | GEO

QX recombinant inbred advanced intercross lines of C. elegans

Project description:Mutation generates the heritable variation that genetic drift and natural selection shape. In classical quantitative genetic models, drift is a function of the effective population size and acts uniformly across traits, while mutation and selection act trait-specifically. We identified thousands of quantitative trait loci (QTL) influencing transcript abundance traits in a cross of two C. elegans strains; although trait-specific mutation and selection explained some of the observed pattern of QTL distribution, the pattern was better explained by trait-independent variation in the intensity of selection on linked sites. Our results suggest that traits in C. elegans exhibit different levels of variation less because of their own attributes than because of differences in the effective population sizes of the genomic regions harboring their underlying loci.

2010-10-01 | GSE23857 | GEO

Mutant Cd36 and Wars2 genes affect mass and function of brown adipose tissue in spontaneously hypertensive rats

Project description:Brown adipose tissue (BAT) was suggested to play an important role in lipid and glucose metabolism in rodents and possibly also in humans. In the current study, we used genetic and correlation analyses in the BXH/HXB recombinant inbred (RI) strains, derived from Brown Norway (BN) and spontaneously hypertensive rats (SHR), to identify genetic determinants of BAT function and its role in the pathogenesis of metabolic disturbances. Linkage analyses revealed significant quantitative trait locus (QTL) associated with interscapular BAT mass in the vicinity of the Cd36 (fatty acid translocase) gene on chromosome 4. Additional two closely linked QTL asociated with glucose oxidation and incorporation into BAT lipids were detected near the Wars2 (tryptophanyl tRNA synthetase 2, mitochondrial) candidate gene on chromosome 2.

2017-08-01 | E-MTAB-5292 | biostudies-arrayexpress

Expression analysis of circadian light response in Drosophila recombinant inbred lines (RIL)

Project description:The aim of this study was to identify quantitative trait loci (QTL) associated with variation in circadian photosensitivity in Drosophila, by measuring the locomotor response to early night light pulse (Zt15). We used QTL mapping of recombinant inbred lines (RIL), which was followed by microarrays expression comparison of two RI lines which differed significantly in their light response (RIL 104 shows a strong long phase delay response while RIL 58 shows a weak light response).

2016-02-09 | GSE77116 | GEO

BXD Mouse Liver Gene Expression

Project description:The liver is the primary site for the metabolism of nutrients, drugs, and chemical agents. Although metabolic pathways are complex and tightly regulated, genetic variation among individuals, reflected in variations in gene expression levels, introduces complexity into research on liver disease. This study dissected genetic networks that control liver gene expression through the combination of large-scale quantitative mRNA expression analysis with genetic mapping in a reference population of BXD recombinant inbred mouse strains for which extensive single-nucleotide polymorphism, haplotype, and phenotypic data are publicly available. We profiled gene expression in livers of naive mice of both sexes from C57BL/6J, DBA/2J, B6D2F1, and 41 BXD strains using Agilent oligonucleotide microarrays. These data were used to map quantitative trait loci (QTLs) responsible for variations in the expression of about 19,000 transcripts. We identified polymorphic local and distant QTLs, including several loci that control the expression of large numbers of genes in liver, by comparing the physical transcript position with the location of the controlling QTL. CONCLUSION: The data are available through a public web-based resource (www.genenetwork.org) that allows custom data mining, identification of coregulated transcripts and correlated phenotypes, cross-tissue, and cross-species comparisons, as well as testing of a broad array of hypotheses.

2009-08-06 | GSE17522 | GEO

Expression analysis of circadian light response in Drosophila recombinant inbred lines (RIL)

2016-02-09 | E-GEOD-77116 | biostudies-arrayexpress

Genetic characerization of early renal changes in diabetes

Project description:Diabetic kidney disease (DKD) appears heritable, suggesting genetic factors influence disease susceptibility. In our study, genes were mapped mediating early renal hypertrophic in response to diabetes. A survey of murine strains (N=15) was conducted to identify variation in kidney hypertrophy following diabetes induction. Mice with greater FVB/N and less C57BL/6 renal hypertrophy were crossed and diabetic F2 generation mice (n=534) were characterised. To confirm loci responsible for the renal hypertrophic response, diabetic congenic mice were generated by backcrossing FVB/N mice that conferred greater or C57BL/6 conferring lower risk into the reciprocal strain mice. Kidney weights of (FVB/N x C57BL/6) F2 diabetic mice were broadly distributed. Quantitative trait locus (QTL) analysis revealed that diabetic mice with kidney weights in the upper quartile shared alleles on chromosomes 6 and 12, with the FVB/N allele on chromosome 6 conferring greater susceptibility. On chromosome 12, C57BL/6 homozygotes were more significantly represented (LOD=3.8) conferring less susceptibility. The diabetic B6.Drc1/2f congenic strain developed kidney damage, while the reciprocal congenic, with FVB.Drc1/2b strain were protected. Microarray analysis identified differentially expressed genes between diabetic C57BL/6 and FVB/N mice. QTL mapping for early renal responses to diabetes identified two loci syntenic with regions identified for human diabetic kidney disease. Providing a new resource to study DKD.

2021-12-31 | GSE123677 | GEO

Mouse Diversity Array SNP Genotyping of B10.BALBChr16 and BALB.B10Chr16 Reciprocal Consomic Strain Mice

Project description:To identify novel mechanisms regulating allogeneic hematopoietic cell engraftment, we previously used a forward genetic approach and described identification, in mice, of the Bmgr5 bone marrow (BM) engraftment quantitative trait locus (QTL). This QTL confers dominant and large allele effects for engraftment susceptibility. It was localized to chromosome 16 by classical quantitative genetic techniques in a segregating backcross bred from susceptible BALB.K and resistant B10.BR mice. We now report verification of the Bmgr5 QTL using reciprocal chromosome 16 consomic strains. The BM engraftment phenotype in these consomic mice shows that Bmgr5 susceptibility alleles are not only sufficient but also indispensable for conferring permissiveness for allogeneic BM engraftment. Using panels of congenic mice, we resolved the Bmgr5 QTL into two separate subloci, termed Bmgr5a and Bmgr5b, each conferring permissiveness for the engraftment phenotype and both fine mapped to an interval amenable to positional cloning. Candidate Bmgr5 genes were then prioritized using whole exome DNA sequencing and microarray gene expression profiling. Further studies are needed to elucidate the genetic interaction between Bmgr5a and Bmgr5b and identify causative genes and underlying gene variants. This may lead to new approaches for overcoming the problem of graft rejection in clinical hematopoietic cell transplantation.

2013-01-10 | GSE43377 | GEO

Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease [Genotype_data]

Project description:The human immune system displays remarkable variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single cell RNA sequence data from 1,267,768 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we identified 26,597 independent cis-expression quantitative trait loci (eQTLs) and 990 trans-eQTL, with the majority showing cell type specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to inter-individual variation in immune function. Finally, utilizing a Mendelian randomization approach, we identify the causal route by which 305 risk loci contribute to autoimmune disease at the cellular level. This work brings together genetic epidemiology with scRNA-seq to uncover drivers of inter-individual variation in the immune system.

2022-04-08 | GSE196829 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data