Decoding the transcriptome of denervated muscle at single-nucleus resolution
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ABSTRACT:
PROVIDER: PRJNA762034 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15831489_1.fastq.gz | Fastqsanger.gz | |||
| SRR15831489_2.fastq.gz | Fastqsanger.gz | |||
| SRR15831490_1.fastq.gz | Fastqsanger.gz | |||
| SRR15831490_2.fastq.gz | Fastqsanger.gz | |||
| SRR15831491_1.fastq.gz | Fastqsanger.gz |
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Project description:Skeletal muscle exhibits remarkably plasticity under both physiological and pathological conditions. We used adult mice with sciatic denervation as model of muscle atrophy. SnRNA-seq was performed to generate single-nucleus transcriptome profiles of gastrocnemius from normal and denervation mice. Our results define the myonuclear transition, metabolic remodeling and gene regulation networks associated with muscle atrophy induced by denervation and illustrated the molecular basis of heterogeneity and plasticity of muscle cells in response to muscle atrophy, thus providing a resource for exploring molecular mechanisms leading to muscle atrophy
2021-11-02 | GSE183802 | GEO
Project description:BackgroundSkeletal muscle exhibits remarkable plasticity under both physiological and pathological conditions. One major manifestation of this plasticity is muscle atrophy that is an adaptive response to catabolic stimuli. Because the heterogeneous transcriptome responses to catabolism in different types of muscle cells are not fully characterized, we applied single-nucleus RNA sequencing (snRNA-seq) to unveil muscle atrophy related transcriptional changes at single nucleus resolution.MethodsUsing a sciatic denervation mouse model of muscle atrophy, snRNA-seq was performed to generate single-nucleus transcriptional profiles of the gastrocnemius muscle from normal and denervated mice. Various bioinformatics analyses, including unsupervised clustering, functional enrichment analysis, trajectory analysis, regulon inference, metabolic signature characterization and cell-cell communication prediction, were applied to illustrate the transcriptome changes of the individual cell types.ResultsA total of 29 539 muscle nuclei (normal vs. denervation: 15 739 vs. 13 800) were classified into 13 nuclear types according to the known cell markers. Among these, the type IIb myonuclei were further divided into two subgroups, which we designated as type IIb1 and type IIb2 myonuclei. In response to denervation, the proportion of type IIb2 myonuclei increased sharply (78.12% vs. 38.45%, P < 0.05). Concomitantly, trajectory analysis revealed that denervated type IIb2 myonuclei clearly deviated away from the normal type IIb2 myonuclei, indicating that this subgroup underwent robust transcriptional reprogramming upon denervation. Signature genes in denervated type IIb2 myonuclei included Runx1, Gadd45a, Igfn1, Robo2, Dlg2, and Sh3d19 (P < 0.001). The gene regulatory network analysis captured a group of atrophy-related regulons (Foxo3, Runx1, Elk4, and Bhlhe40) whose activities were enhanced (P < 0.01), especially in the type IIb2 myonuclei. The metabolic landscape in the myonuclei showed that most of the metabolic pathways were down-regulated by denervation (P < 0.001), while some of the metabolic signalling, such as glutathione metabolism, was specifically activated in the denervated type IIb2 myonulei. We also investigated the transcriptomic alterations in the type I myofibres, muscle stem cells, fibro-adipogenic progenitors, macrophages, endothelial cells and pericytes and characterized their signature responses to denervation. By predicting the cell-cell interactions, we observed that the communications between myofibres and muscle resident cells were diminished by denervation.ConclusionsOur results define the myonuclear transition, metabolic remodelling, and gene regulation networks reprogramming associated with denervation-induced muscle atrophy and illustrate the molecular basis of the heterogeneity and plasticity of muscle cells in response to catabolism. These results provide a useful resource for exploring the molecular mechanism of muscle atrophy.
| S-EPMC9398230 | biostudies-literature
Project description:Samples of denervated GA muscle were compared to contralateral controls to determine transcriptional changes associated with skeletal muscle denervation.
2020-01-06 | GSE62812 | GEO
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 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:The transcriptome sequencing on muscle tissue from control group (CTX) and denervated group(CTX-DeN). The PI3K/Akt pathway is involved in denervation-aggravated muscle HO.
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Project description:Analysis of gene expression patterns in denervated muscle atrophy
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Project description:We report the application of RNA sequencing technology for transcriptomics analysis of the effects of electrical stimulation on rat denervated gastrocnemius muscle. Muscle samples were selected for gene expression analyses，corresponding to the following categories: Sham operation rats, (SHAM, n = 3), sciatic nerve injury rats (DN, n = 3), and sciatic nerve injury with electrical stimulation (DN-SM, n = 3). A total of 14,334 genes (DEGs) were detected in this study.
2020-07-01 | GSE117440 | GEO
Project description:Gene expression profiling of the effect of maslinic acid in denervated mice ICR mice were fed either the diet containing 0.27% maslinic acid and the control diet. After 7 days, the sciatic nerve of both legs was cut and a 5-mm piece was excised under anesthesia. Microarray gene expression profiling was conducted for biological replicates of gastrocnemius muscle after 14 days from denervation surgery.
2021-07-29 | GSE181031 | GEO
Project description:Muscular dystrophy is a group of diseases that cause progressive weakness and degeneration of the skeletal muscles that control movement. Lacking polymerase I transcription release factor (PTRF, also known as Cavin1), an essential caveolae component, causes a secondary deficiency of caveolins resulting in muscular dystrophy. Because skeletal muscle is a heterogeneous tissue composed of different metabolic muscle fiber (myofibers) and mononuclear cells, the transcriptome responses of these myofibers and mononuclear cell to muscular dystrophy caused by PTRF deletion has not been explored. Here, we create muscular dystrophy mice caused by the deletion of PTRF gene and apply single-nucleus RNA sequencing (snRNA-seq) to unveil transcriptional changes in the skeletal muscle of mice with muscular dystrophy at single-nucleus resolution.
2023-05-31 | GSE217390 | GEO