RNA-seq Analysis of Wild Type and Mark3-/- mouse primary osteoblasts
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE160415 | GEO | 2020/10/30
REPOSITORIES: GEO
Similar Datasets
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:Transposable elements (TEs) are mobile genetic modules of viral derivation that have been co-opted to become modulators of mammalian gene expression. TEs are a major source of endogenous dsRNAs, signaling molecules able to coordinate inflammatory responses in various physiological processes. Here, we provide evidence for a positive involvement of TEs in inflammation-driven bone repair and mineralization. In newly fractured mice bone, we observed an early transient upregulation of repeats occurring concurrently with the initiation of the inflammatory stage. In humans, bone biopsies analysis revealed a significant correlation between repeats expression, mechanical stress and bone mineral density. We investigated a potential link between LINE-1 (L1) expression and bone mineralization by delivering a synthetic L1 RNA to osteoporotic patient-derived mesenchymal stem cells and observed a dsRNA-triggered protein kinase (PKR)-mediated stress response, leading to dramatically increased mineralization. This response was associated with a strong, transient, inflammatory induction, accompanied by a global translation attenuation induced by eif2a phosphorylation. We demonstrated that L1 transfection reshaped the secretory profile of osteoblasts, triggering a paracrine activity that stimulated the mineralization of recipient cells.
2024-10-17 | PXD051195 | Pride
Project description:Genome-wide association studies (GWASs) for bone mineral density (BMD), one of the most significant predictors of osteoporotic fracture, have identified over 1100 independent associations; however, few of the causal genes have been identified. Recently, the “omnigenic” model of the genetic architecture of complex traits proposed two general categories of causal genes, core and peripheral. Core genes play a direct role in regulating traits; thus, their identification is key to revealing critical regulators and potential therapeutic targets. Here, we identified a co-expression module enriched for genes exhibiting properties consistent with core genes for BMD by analyzing GWAS data through the lens of a cell-type and timepoint-specific gene co-expression network for mineralizing osteoblasts. We identified multiple co-expression modules enriched for genes implicated by BMD GWAS and prioritized modules based on their enrichment for genes with core-like properties. Only one module, the purple module, was enriched for genes correlated with in vitro mineralization (r = 0.49; FDR = 0.012), with known roles in skeletal development (P <2.2 x 10-16), that when perturbed produce a bone phenotype in mice (OR = 4.1; P = 2.14 x 10-9), and are monogenic bone disease genes in humans (OR=21.3; P=6.94 x 10-9). Furthermore, the purple module contained genes from two distinct transcriptional profiles with regards to osteoblast differentiation, one of which, termed the late differentiation cluster (LDC), was more highly enriched for genes with core-like properties. Within the LDC, we found that the most highly connected genes were more likely to overlap a BMD GWAS association and associations that contained LDC genes overlapped enhancers and promoters in osteoblasts. Finally, we identified four LDC genes (B4GALNT3, CADM1, DOCK9, and GPR133) with colocalizing expression quantitative trait loci (eQTL) and altered BMD in mouse knockouts. Our network-based approach identified a “core” module for BMD and has provided a resource for expanding our understanding of the genetics of bone mass.
2019-07-11 | GSE134081 | GEO
Project description:Background
This work focuses on the computational modelling of osteomyelitis, a bone pathology caused by bacteria infection (mostly Staphylococcus aureus). The infection alters the RANK/RANKL/OPG signalling dynamics that regulates osteoblasts and osteoclasts behaviour in bone remodelling, i.e. the resorption and mineralization activity. The infection rapidly leads to severe bone loss, necrosis of the affected portion, and it may even spread to other parts of the body. On the other hand, osteoporosis is not a bacterial infection but similarly is a defective bone pathology arising due to imbalances in the RANK/RANKL/OPG molecular pathway, and due to the progressive weakening of bone structure.
Results
Since both osteoporosis and osteomyelitis cause loss of bone mass, we focused on comparing the dynamics of these diseases by means of computational models. Firstly, we performed meta-analysis on a gene expression data of normal, osteoporotic and osteomyelitis bone conditions. We mainly focused on RANKL/OPG signalling, the TNF and TNF receptor superfamilies and the NF-kB pathway. Using information from the gene expression data we estimated parameters for a novel model of osteoporosis and of osteomyelitis. Our models could be seen as a hybrid ODE and probabilistic verification modelling framework which aims at investigating the dynamics of the effects of the infection in bone remodelling. Finally we discuss different diagnostic estimators defined by formal verification techniques, in order to assess different bone pathologies (osteopenia, osteoporosis and osteomyelitis) in an effective way.
Conclusions
We present a modeling framework able to reproduce aspects of the different bone remodeling defective dynamics of osteomyelitis and osteoporosis. We report that the verification-based estimators are meaningful in the light of a feed forward between computational medicine and clinical bioinformatics
Model is encoded by Ruby and submitted and curated to BioModels by Ahmad Zyoud
2024-09-02 | BIOMD0000000923 | BioModels
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:Rib bone growth in red deer stags - Abstract: In 'The Bone and Joint Decade' interest is focused on genetic factors causing bone disorders. Osteoporosis, attacking 10% of the population worldwide, is the most common metabolic bone disease, which is mimiced by several ovarectomised or genetically modified 'cascadeur' animal species, but none of them is able to remedy its pathologically porous bone tissue. Regeneration in skeletal elements is the curiosity of our newly investigated osteoporosis animal model, red deer (Cervus elaphus). The cyclic physiological osteoporosis in red deer stag is a consequence of the annual antler cycle. This phenomenon raises the possibility to explore new genes involved in regulating bone mineral density (BMD) and recovery of bone resorption on the basis of comparative genomics between deer and human. Here we compared the gene expression activities of osteoporotic and regenerating flying rib bone samples versus late autumn dwell control in red deer by heterologous microarray hybridization. Identified genes were tested on human femoral bone tissue from postmenopausal osteoporotic and non-osteoporotic patients. Expression data were evaluated by Principal Components Analysis and Discriminant Analysis. Keywords: Gene Expression experiment Approximately 2-3 g flying rib bone pieces in the entire cross section of bony rib were surgically removed from 3 anaesthetized [SBH-Ketamine (2.5 mg/kg live weight) combined with Xylazine (0.2 mg/kg live weight) i.m. injection] 6, 7 and 8 year old Cervus elaphus stags. (Cast antler pairs weighed 7-8 kg for each animal.) Removed rib pieces were extensively washed in PBS for eliminating blood and marrow contamination, than immediately frozen in liquid nitrogen. The time of tissue collections were (i) within the period of the active mineralization of antler, at the beginning of June when skeletal osteoporosis takes place, (ii) in the fitness improvement period with velvet shedding in late July, that is the 'regenerating time' and (iii) in the period of late autumn dwell at the end of November when in the skeleton the mineral mobilization and deposition are dynamically equilibrated (BMD is in steady state). Each comparison performed on Platforms GPL4052 and GPL5352.
2010-05-15 | E-GEOD-8075 | biostudies-arrayexpress
Project description:Wnt signaling is critical for normal skeletal development as well as whole-body metabolic function. In this study, we described a previously unrecognized function for Wnt-Lrp5 signaling in the osteoblast that allows bone to acquire the resources necessary to fuel bone formation. Mice lacking the Lrp5 co-receptor specifically in osteoblasts and osteocytes exhibit the expected reductions in postnatal bone mass and also develop peripheral adiposity with corresponding reductions in energy expenditure. Conversely, mice expressing a high-bone mass mutant Lrp5 allele are leaner with reduced plasma triglyceride and free fatty acid levels. In this context, Wnt-initiated signals downstream of Lrp5, but not Lrp6, regulate the expression of key enzymes required for fatty acid β-oxidation. These results suggest that Wnt-Lrp5 signaling regulates basic cellular activities beyond those associated with fate-specification and differentiation in bone and that the skeleton influences global energy homeostasis via mechanisms independent of osteocalcin and glucose metabolism Total RNA isolated from cultures of Lrp5-deficient osteoblasts differentiated for 7 days in vitro compared to control osteoblasts
2014-03-14 | E-GEOD-55900 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are important regulators of gene expression, with documented roles in bone metabolism and osteoporosis, suggesting potential therapeutic targets. Our aim was to identify miRNAs differentially expressed in fractured vs nonfractured bones. Additionally, we performed a miRNA profiling of primary osteoblasts to assess the origin of these differentially expressed miRNAs. Total RNA was extracted from (a) fresh femoral neck trabecular bone from women undergoing hip replacement due to either osteoporotic fracture (OP group, n=6) or osteoarthritis in the absence of osteoporosis (Control group, n=6), matching the two groups by age and body mass index, and (b) primary osteoblasts obtained from knee replacement due to osteoarthritis (n=4). Samples were hybridized to a microRNA array containing more than 1900 miRNAs. Principal component analysis (PCA) plots and heat map hierarchical clustering were performed. For comparison of expression levels, the threshold was set at log fold change > 1.5 and a p-value < 0.05 (corrected for multiple testing). Both PCA and heat map analyses showed that the samples clustered according to the presence or absence of fracture. Overall, 790 and 315 different miRNAs were detected in fresh bone samples and in primary osteoblasts, respectively, 293 of which were common to both groups. A subset of 82 miRNAs was differentially expressed (p < 0.05) between osteoporotic and non-osteoporotic samples. The eight miRNAs with the lowest p-values (and for which a validated miRNA qPCR assay was available) were assayed, and two were confirmed: miR-320a and miR-483-5p. Both were over-expressed in the osteoporotic samples and expressed in primary osteoblasts. miR-320a is known to target CTNNB1 and predicted to regulate RUNX2, while miR-483-5p down-regulates IGF2. We observed a reduction trend for this target gene in the osteoporotic bone.In conclusion, we identified two osteoblast miRNAs over-expressed in osteoporotic fractures, which opens novel prospects for research and therapy.
2015-12-21 | GSE74209 | 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.v2.p1 | EGA
Project description:Osteoporosis and bone fragility fracture are multifactorial pathologies whose genetic component is still poorly characterized. The present experiment aims to identify genes differentially expressed in the bone-forming cell; the osteoblast. To do this, we obtain primary osteoblasts from bone explants of women undergoing hip replacement to later obtain RNA. The cases are women with a fragility bone fracture of the hip. The controls are women with severe osteoarthritis.Microarray analysis yielded 2542 differentially expressed transcripts belonging to 1798 annotated genes, of which 45.6% (819) were overexpressed, and 54.4% (979) underexpressed (fold-change between -7.45 and 4.0). Among the most represented pathways indicated by transcriptome analysis were chondrocyte development, positive regulation of bone mineralization, BMP signaling pathway, skeletal system development and Wnt signaling pathway. Then, we selected SNPs in genes related to epigenetic mechanisms to study their association with bone mass in a cohort of 1028 Spanish women. We used microarrays to compare the overall gene expression between primary osteoblasts from women with fragility fracture with that of control women undergoing hip replacement due to severe osteoatritis.
2020-10-01 | GSE156508 | GEO