Expression differences in the liver of a congenic mouse with low serum IGF-1
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE5959 | GEO | 2006/10/29
SECONDARY ACCESSION(S): PRJNA97423
REPOSITORIES: GEO
Similar Datasets
Project description:Several studies have shown that bone mineral density (BMD), a clinically measurable predictor of osteoporotic fracture, is the sum of genetic and environmental influences. In addition, serum IGF-1 levels have been correlated to both BMD and fracture risk. We previously identified a Quantitative Trait Locus (QTL) for Bone Mineral Density (BMD) on mouse Chromosome (Chr) 6 that overlaps a QTL for serum IGF-1. The B6.C3H-6T (6T) congenic mouse is homozygous for C57BL/6J (B6) alleles across the genome except for a 30 cM region on Chr 6 that is homozygous for C3H/HeJ (C3H) alleles. This mouse was created to study biology behind both the BMD and the serum IGF-1 QTLs and to identify the gene(s) underlying these QTLs. Female 6T mice have lower BMD and lower serum IGF-1 levels at all ages measured. As the liver is the major source of serum IGF-1, we examined differential expression in the livers of fasted female B6 and 6T mice by microarray. Experiment Overall Design: The experimental design of this experiment was a simple two-factor experiment, with three biological replicates of each factor (in this case mouse strain, B6.C3H-6T vs. C57BL/6J).
2007-11-13 | E-GEOD-5959 | biostudies-arrayexpress
Project description:Femoral neck bone mineral density and structure candidate gene analysis in Fischer 344 (F344) and Lewis (LEW) rats; Hip fracture is the most devastating osteoporotic fracture type with significant morbidity and mortality. Previously, we identified that the region of 4q21-q41 on chromosome (Chr) 4 uniquely harbors multiple femoral neck quantitative trait loci (QTLs) in inbred Fischer 344 (F344) and Lewis (LEW) rats. In this study we identified the candidate genes for femoral neck density and structure by correlating gene expression in the proximal femur with the femoral neck phenotypes linked to the QTLs on Chr 4. Microarray analysis was performed using RNA extracted from proximal femora of 4-week-old rats from F344, LEW and two other strains. A total of 104 genes in the 4q21-q41 region were differentially expressed (p<0.05) among all strains of rats with a false discovery rate (FDR) less than 10%. These 104 genes were then ranked based on the proportion of variation in femoral neck phenotypes in F2 animals homozygous for a particular strainâ??s allele at the Chr 4 QTL explained by the expression level of the gene in that strain. A total of 37 genes, including 21 candidate genes and 16 predicted genes, were strongly correlated (r2>0.50) with different femoral neck phenotypes and prioritized for further analysis. Ingenuity pathway analysis revealed several direct or indirect relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, interleukin 6, insulin growth factor 2, androgen receptor and tumor necrosis factor. Experiment Overall Design: Comparison of differentially expressed genes at the chromosome 4 QTL identified in F344 and LEW F2 rats.
2009-04-04 | E-GEOD-11180 | biostudies-arrayexpress
Project description:Femoral neck bone mineral density and structure candidate gene analysis in Fischer 344 (F344) and Lewis (LEW) rats Hip fracture is the most devastating osteoporotic fracture type with significant morbidity and mortality. Previously, we identified that the region of 4q21-q41 on chromosome (Chr) 4 uniquely harbors multiple femoral neck quantitative trait loci (QTLs) in inbred Fischer 344 (F344) and Lewis (LEW) rats. In this study we identified the candidate genes for femoral neck density and structure by correlating gene expression in the proximal femur with the femoral neck phenotypes linked to the QTLs on Chr 4. Microarray analysis was performed using RNA extracted from proximal femora of 4-week-old rats from F344, LEW and two other strains. A total of 104 genes in the 4q21-q41 region were differentially expressed (p<0.05) among all strains of rats with a false discovery rate (FDR) less than 10%. These 104 genes were then ranked based on the proportion of variation in femoral neck phenotypes in F2 animals homozygous for a particular strain’s allele at the Chr 4 QTL explained by the expression level of the gene in that strain. A total of 37 genes, including 21 candidate genes and 16 predicted genes, were strongly correlated (r2>0.50) with different femoral neck phenotypes and prioritized for further analysis. Ingenuity pathway analysis revealed several direct or indirect relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, interleukin 6, insulin growth factor 2, androgen receptor and tumor necrosis factor. Keywords: Comparison of gene expression profiles between F344, LEW, COP and DA rats
2009-03-31 | GSE11180 | GEO
Project description:A C57BL6/J (B6) x CAST/Ei (CAST) strain intercross has revealed a new quantitative trait locus (QTL) on Chromosome (Chr) 17 controlling total food volume (Tfv1; LOD=7.6). Compared with B6, the CAST mice consume 39% more food volume per body weight in a macronutrient diet selection paradigm. Linkage analyses of total food volume revealed the presence of suggestive QTL on Chrs 2, 6, and 15 and a significant locus on Chr 17. An interval-specific congenic strain, B6.CAST-17, was then developed which verified the QTL. Microarray analysis of stomach in congenic and wildtype B6 mice revealed Glp1r as an expression candidate with physiological relevance to food intake. Further functional analysis of this gene revealed this gene as potential candidate for total food volume trait in mice Keywords: Comparative gene expression analysis
2008-02-13 | GSE7756 | GEO
Project description:Bone mineral density (BMD) is a strong predictor of osteoporotic fracture. It is also one of the most heritable disease-associated quantitative traits. As a result, there has been considerable effort focused on dissecting its genetic basis. Here, we performed a genome-wide association study (GWAS) in a panel of inbred strains to identify associations influencing BMD. This analysis identified a significant (P=3.1 x 10-12) BMD locus on Chromosome 3@52.5 Mbp that replicated in two seperate inbred strain panels and overlapped a BMD quantitative trait locus (QTL) previously identified in a F2 intercross. The association mapped to a 300 Kbp region containing four genes; Gm2447, Gm20750, Cog6, and Lhfp. Further analysis found that Lipoma HMGIC Fusion Partner (Lhfp) was highly expressed in bone and osteoblasts and its expression was regulated by local expression QTL (eQTL) in multiple tissues. A co-expression network analysis revealed that Lhfp was strongly connected to genes involved in osteoblast differentiation. To directly evaluate its role in bone, Lhfp deficient mice (Lhfp-/-) were created using CRISPR/Cas9. Consistent with genetic and network predictions, bone marrow stromal cells (BMSCs) from Lhfp-/- displayed increased osteogenic differentiation. Lfhp-/- mice also had elevated BMD due to increased cortical bone mass. In conclusion, we used GWAS and systems genetics in mice to identify Lhfp as a regulator of osteoblast activity and bone mass.
2018-10-30 | GSE121887 | GEO
Project description:Postmenopausal females (50 85 years) representing a wide range of Bone mineral densities (BMDs) were consecutively registered, excluding persons who had diseases and medications known to affect bone remodeling. Low energy fracture(s) occurred in 32 (38 %). Trans-iliacal bone biopsies (84) were submitted to Affymetrix microarray expression analysis to study the relationship between BMD or osteoporosis and gene expression.
2009-11-12 | E-MEXP-1618 | biostudies-arrayexpress
Project description:The growth and development of the uterus in response to 17β-estradiol (E2) is genetically controlled, with marked variation observed depending on the mouse strain studied. Previous work from our laboratory using inbred mice that are high (C57BL6/J; B6) or low (C3H/HeJ; C3H) responders to E2 has led to the identification of quantitative trait loci (QTL) associated with phenotypic variation in uterine growth and eosinophil infiltration. The mechanisms underlying differential responsiveness to E2, and the genes involved, are unknown. Therefore, we used a microarray approach to show association of distinct E2-regulated transcriptional signatures with genetically controlled high and low responses to E2. Among the 6,664 E2-responsive uterine transcripts, several reside within our previously identified QTL, including the ERα-tethering factor Runx1, demonstrated to enhance E2-mediated transcript regulation. The level of RUNX1 in uterine epithelial cells was shown to be 3.5-fold greater in B6 compared to C3H. Analysis of cellular functions in sets of strain-dependent E2-responsive transcripts indicated C3H-selective enrichment of apoptosis, consistent with a 7-fold increase in the apoptosis indicator CASP3, and a 2.4-fold decrease in the apoptosis inhibitor Naip1 in C3H vs. B6 following treatment with E2. Our novel insights into the mechanisms underlying the genetic control of tissue sensitivity to estrogen have great potential to advance understanding of individualized effects in physiological and disease states.
2013-06-11 | GSE38800 | GEO
Project description:<p>Osteoporotic fractures are largely due to an increased propensity to fall with aging and a reduction in bone strength.
Although skeletal architecture contributes to fracture risk, bone mineral density (BMD) is the most important determinant of bone
strength and fracture risk. Between 60 and 80% of the variance of BMD of adult Caucasian women is due to heritable factors.
Final BMD is a function of peak bone mass attained during young adulthood and the subsequent rate of bone loss, which occurs
as a result of both post-menopausal estrogen loss and aging. The evidence for a genetic contribution to rate of loss in BMD is substantially
weaker than that for peak BMD. Therefore, we have focused our sample collection on the recruitment of premenopausal women, in whom we have
sought to identify the genes influencing peak BMD at the spine and hip, the two major skeletal sites of osteoporotic fracture.</p>
<p>The primary goal of this study is to identify genes that affect peak BMD in premenopausal women. Identification of these genes may:
1) lead to molecular tests that predict risk of osteoporosis and allow institution of early preventive measures; 2) provide insight
into basic bone cell biology and other factors that affect peak BMD; and 3) provide molecular targets for therapeutic agents to increase BMD.</p>
| phs000138 | dbGaP
Project description:Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats; Genetic mapping in alcohol-preferring (P) and alcohol-non-preferring (NP) rats has identified a major quantitative trait locus (QTL) in the region between q22 â?? q34 on chromosome (Chr) 4 for alcohol preference. In a separate genome-wide linkage study, using inbred Fischer 344 (F344) and Lewis (LEW) rats, several QTL linked to bone density and structure were identified at the same location suggesting that bone mass and strength genes might co-segregate with genes that regulate the alcohol preference trait. The aim of this study is to identify the genes segregating for skeletal phenotypes and alcohol trait in congenic P/NP rats. We compared bone mineral content (BMC), areal/volumetric bone mineral density (aBMD/vBMD) and biomechanical strength at different skeletal sites from 6-month-old inbred and congenic P/NP rats. Transfer of the NP Chr 4 QTL into P background significantly increased body weight but decreased BMC, aBMD/vBMD in whole body, cranium, femur, and lumbar vertebrae. On the other hand, transfer of P Chr 4 QTL into NP background significantly decreased body weight but increased BMC and aBMD in the same skeletal sites. Microarray analysis was performed from the femurs of 4-week-old rats (n = 5 per strain) using Affymetrix Rat Genome 230 2.0 arrays. A total of 53 genes, including 41 candidate genes and 12 predicted genes, were differentially expressed among all strains of rats with a false discovery rate (FDR) less than 10%. Several candidate genes from microarray analysis were found to be were strongly correlated (r2>0.50) with different skeletal phenotypes. Gene expression of top 3 candidate genes from microarray profiling was validated by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, tumor necrosis factor and androgen receptor. Experiment Overall Design: Comparison of differentially expressed genes between 4q22-4q34 on chromosome 4 in NP, P, NP.P and P.NP rats.
2009-07-11 | E-GEOD-12066 | biostudies-arrayexpress
Project description:Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats Genetic mapping in alcohol-preferring (P) and alcohol-non-preferring (NP) rats has identified a major quantitative trait locus (QTL) in the region between q22 – q34 on chromosome (Chr) 4 for alcohol preference. In a separate genome-wide linkage study, using inbred Fischer 344 (F344) and Lewis (LEW) rats, several QTL linked to bone density and structure were identified at the same location suggesting that bone mass and strength genes might co-segregate with genes that regulate the alcohol preference trait. The aim of this study is to identify the genes segregating for skeletal phenotypes and alcohol trait in congenic P/NP rats. We compared bone mineral content (BMC), areal/volumetric bone mineral density (aBMD/vBMD) and biomechanical strength at different skeletal sites from 6-month-old inbred and congenic P/NP rats. Transfer of the NP Chr 4 QTL into P background significantly increased body weight but decreased BMC, aBMD/vBMD in whole body, cranium, femur, and lumbar vertebrae. On the other hand, transfer of P Chr 4 QTL into NP background significantly decreased body weight but increased BMC and aBMD in the same skeletal sites. Microarray analysis was performed from the femurs of 4-week-old rats (n = 5 per strain) using Affymetrix Rat Genome 230 2.0 arrays. A total of 53 genes, including 41 candidate genes and 12 predicted genes, were differentially expressed among all strains of rats with a false discovery rate (FDR) less than 10%. Several candidate genes from microarray analysis were found to be were strongly correlated (r2>0.50) with different skeletal phenotypes. Gene expression of top 3 candidate genes from microarray profiling was validated by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, tumor necrosis factor and androgen receptor. Keywords: Comparison of gene expression profiles between NP, P, NP.P and P.NP rats
2009-07-01 | GSE12066 | GEO