Delayed denervation-induced muscle atrophy in Opg knockout mice
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE220152 | GEO | 2023/05/01
REPOSITORIES: GEO
Similar Datasets
Project description:Previous reports indicate that RANKL-RANK signaling participates in regulating muscle mass and strength in denervated animals, while RANKL inhibition by OPG-Fc peptide improves the muscle phenotype in dystrophic mdx mice. RANKL has also been shown to activate STAT3 to regulate osteoclastogenesis, although it is not known whether such interaction also plays a role in skeletal muscle. The objective of this aim is to clarify whether RANKL directly affects skeletal muscle.
2022-03-30 | GSE149606 | GEO
Project description:Delayed denervation-induced muscle atrophy in Opg knockout mice
| PRJNA908869 | ENA
Project description:To identify novel atrophy-related genes, which are controlled by BMP signaling, we performed gene expression profiling on innervated and 14 days denervated muscles of Smad4 knockout and control mice, focusing on genes that were differentially upregulated in denervated Smad4-/- muscles compared to controls. Among the different genes our attention was attracted by a gene that encodes for a novel f-box protein (Fbxo30) belonging to the SCF complex family of the ubiquitin ligases. Cell size is determined by the balance between protein synthesis and degradation. This equilibrium is affected by hormones, nutrients, energy levels, mechanical stress and cytokines. Mutations that inactivate Myostatin lead to important muscle growth in animals and humans. However, the signals and pathways responsible for this hypertrophy remain largely unknown. Here we find that BMP signaling, acting through Smad1/5/8, is the fundamental hypertrophic signal. Inhibition of BMP signaling causes muscle atrophy, abolishes the hypertrophic phenotype of Myostatin knockout and strongly exacerbates the effects of denervation and fasting. BMP-Smad1/5/8 negatively regulates a novel gene (Fbxo30) that encodes an ubiquitin ligase, that is required for muscle loss. Collectively, these data identify a critical role for the BMP pathway in adult muscle maintenance, growth and atrophy. Gene expression profiling on innervated and 14 days denervated muscles of Smad4 knockout and control mice. Three independent experiments were performed for each experimental condition using different animals for each experiment.
2013-09-17 | E-GEOD-49826 | biostudies-arrayexpress
Project description:Testicular germ cells tumors (TGCTs) have a high sensitivity to cisplatin-based chemotherapy and a high cure rate, although with possible serious adverse effects. In the search for tumor suppressive drugs, the RANKL inhibitor Denosumab, used to treat osteoporosis came up as a candidate since RANKL signaling was recently identified in the testis. RANKL signals through the receptor RANK and this signaling is antagonized by the decoy receptor OPG. Here, we demonstrate expression of RANKL, RANK, and OPG in germ cell neoplasia in situ (GCNIS), TGCTs, and TGCT-derived cell lines. RANKL inhibition reduced proliferation of seminoma-derived TCam-2 cells but had no effect on embryonal carcinoma-derived NTera2 cells in vitro. Denosumab did not potentiate the effect of cisplatin treatment in vitro but inhibition of RANKL in vivo resulted in reduced tumor growth in a TCam-2 but not a NTera2 xenograft model. Moreover, Denosumab treatment decreased proliferation in human testicular GCNIS tissue culture in vitro. In TGCT patients, serum RANKL was not linked with tumor burden, relapse, or other prognostic markers. In conclusion, this study shows that the RANKL signaling system is expressed in GCNIS and seminoma where RANKL inhibition suppress tumor growth in vitro and in vivo. Future studies are needed to determine whether RANKL is important for the malignant transformation and the transition from GCNIS to invasive tumors.
2022-04-19 | GSE197389 | GEO
Project description:Innervation of skeletal muscle fibers plays a crucial role in the maintenance of muscle tone and normal functioning, but little is known to date about denervated muscle atrophy and its underlying mechanisms. To this end, we performed RNA sequencing of skeletal muscle from sciatic nerve-excised C57BL/6 and BALB/c mice to investigate the underlying mechanisms of denervated skeletal muscle atrophy.
2024-10-31 | GSE253469 | GEO
Project description:In skeletal muscle, the pattern of electrical activity regulates the expression of proteins involved in synaptic transmission, contraction and metabolism. Disruptions in electrical activity, resulting from prolonged bed-rest, cast-immobilization or trauma, inevitably lead to muscle atrophy. The mechanisms that regulate muscle atrophy are poorly understood, but it seems likely that changes in gene expression play a key role in initiating and maintaining a muscle atrophy program. Previously, we found that Runx1, a transcription factor previously termed AML1, was substantially induced in muscle following denervation. More recently, we sought to determine whether this increase in Runx1 expression may be causally related to the morphological changes in skeletal muscle that accompany muscle disuse, notably muscle atrophy. We found that Runx1 is indeed required to sustain muscle and to minimize atrophy following denervation. Experiments described here are designed to identify the genes that are regulated by Runx1 in skeletal muscle with the particular goal of identifying genes that regulate muscle atrophy. We propose to use microarray analysis to identify genes, expressed in skeletal muscle, that are mis-regulated in mice lacking Runx1. We inactivated runx1 selectively in skeletal muscle and found that denervated myofibers in mutant mice atrophy far more (90% atrophy) than in wild-type mice (30% atrophy). We therefore reason that Runx1 activates and/or represses genes that are required to sustain muscle and to minimize atrophy. We generated MCK::cre; runx1f/- and runx1f/- control mice. In normal mice, an increase in runx1 expression is detected by two days after denervation and is maximal by five days after denervation. Muscle atrophy is first evident between one and two weeks after denervation. As we wish to avoid detecting global changes in gene expression that are associated with late stages of muscle atrophy, we plan to denervate muscle for three or five days and to compare gene expression in dissected innervated and denervated muscles from mutant and control mice. We will generate thirty samples for comparison-5 replicates per condition: Samples 1-3 from runx1f/- control mice. (1) innervated tibialis anterior muscles (TA); (2) 3-day-denervated TA; (3) 5-day-denervated TA. Samples 4-6 from MCK::cre; runx1f/- mice. (4) innervated TA; (5) 3-day-denervated TA; (6) 5-day-denervated TA. We obtain sufficient total RNA (10 micrograms) from each dissected muscle to avoid pooling samples. We will analyze adult mice of the same age (~six weeks after birth; most will be littermates) and sex-male. It is difficult to anticipate how many genes will be identified in this screen, as few target genes for Runx1 have been identified in any cell type and none in skeletal muscle. Moreover, although we would prefer to focus our attention on genes that are strongly dependent upon Runx1 expression (e.g. more than 5-fold difference in expression in wild-type and mutant mice), we do not know the extent to which target gene expression will depend upon Runx1. For these reasons, in these experiments, we will analyze expression from five âidenticalâ samples, so that we can be confident that even small (e.g. three-fold) differences in expression can be reliably determined. Importantly, in order to confirm results obtained from the microarray data, we will use other assays (RNase protection) to measure RNA expression of candidate genes in innervated and denervated muscles of wild-type and mutant mice.
2008-06-13 | E-GEOD-4411 | biostudies-arrayexpress
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:To further analyze the gene expression patterns in denervated muscle atrophy, we have employed whole genome microarray.
2022-06-12 | GSE201025 | GEO
Project description:In skeletal muscle, the pattern of electrical activity regulates the expression of proteins involved in synaptic transmission, contraction and metabolism. Disruptions in electrical activity, resulting from prolonged bed-rest, cast-immobilization or trauma, inevitably lead to muscle atrophy. The mechanisms that regulate muscle atrophy are poorly understood, but it seems likely that changes in gene expression play a key role in initiating and maintaining a muscle atrophy program. Previously, we found that Runx1, a transcription factor previously termed AML1, was substantially induced in muscle following denervation. More recently, we sought to determine whether this increase in Runx1 expression may be causally related to the morphological changes in skeletal muscle that accompany muscle disuse, notably muscle atrophy. We found that Runx1 is indeed required to sustain muscle and to minimize atrophy following denervation. Experiments described here are designed to identify the genes that are regulated by Runx1 in skeletal muscle with the particular goal of identifying genes that regulate muscle atrophy. We propose to use microarray analysis to identify genes, expressed in skeletal muscle, that are mis-regulated in mice lacking Runx1. We inactivated runx1 selectively in skeletal muscle and found that denervated myofibers in mutant mice atrophy far more (90% atrophy) than in wild-type mice (30% atrophy). We therefore reason that Runx1 activates and/or represses genes that are required to sustain muscle and to minimize atrophy. We generated MCK::cre; runx1f/- and runx1f/- control mice. In normal mice, an increase in runx1 expression is detected by two days after denervation and is maximal by five days after denervation. Muscle atrophy is first evident between one and two weeks after denervation. As we wish to avoid detecting global changes in gene expression that are associated with late stages of muscle atrophy, we plan to denervate muscle for three or five days and to compare gene expression in dissected innervated and denervated muscles from mutant and control mice. We will generate thirty samples for comparison-5 replicates per condition: Samples 1-3 from runx1f/- control mice. (1) innervated tibialis anterior muscles (TA); (2) 3-day-denervated TA; (3) 5-day-denervated TA. Samples 4-6 from MCK::cre; runx1f/- mice. (4) innervated TA; (5) 3-day-denervated TA; (6) 5-day-denervated TA. We obtain sufficient total RNA (10 micrograms) from each dissected muscle to avoid pooling samples. We will analyze adult mice of the same age (~six weeks after birth; most will be littermates) and sex-male. It is difficult to anticipate how many genes will be identified in this screen, as few target genes for Runx1 have been identified in any cell type and none in skeletal muscle. Moreover, although we would prefer to focus our attention on genes that are strongly dependent upon Runx1 expression (e.g. more than 5-fold difference in expression in wild-type and mutant mice), we do not know the extent to which target gene expression will depend upon Runx1. For these reasons, in these experiments, we will analyze expression from five “identical” samples, so that we can be confident that even small (e.g. three-fold) differences in expression can be reliably determined. Importantly, in order to confirm results obtained from the microarray data, we will use other assays (RNase protection) to measure RNA expression of candidate genes in innervated and denervated muscles of wild-type and mutant mice. Keywords: other
2006-03-08 | GSE4411 | GEO