FHL3 promotes the formation of fast glycolytic muscle fibers by interacting with YY1 and muscle glycolytic metabolism
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE213996 | GEO | 2022/11/17
REPOSITORIES: GEO
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Project description:Skeletal muscles are composed of a heterogeneous collection of fiber types with different physiological adaption in response to a stimulus and disease-related conditions. Each fiber has a specific molecular expression of myosin heavy chain molecules (MyHC). So far MyHCs are currently the best marker proteins for characterization of individual fiber types and several proteome profiling studies have helped to dissect the molecular signature of whole muscles and individual fibers. Herein, we describe a mass spectrometric workflow to measure skeletal muscle fiber type-specific proteomes. To bypass the limited quantities of protein in single fibers, we developed a Proteomics high-throughput Fiber Typing (ProFiT) approach enabling profiling of MyHC in single fibers. Aliquots of protein extracts from separated muscle fibers were subjected to capillary LC-MS gradients to profile MyHC isoforms in a 96-well format. Muscle fibers with the same MyHC protein expression were pooled and subjected to proteomic, pulsed-SILAC and phosphoproteomic analysis. Our fiber type-specific quantitative proteome analysis confirmed the distribution of fiber types in the soleus muscle, substantiates metabolic adaptions in oxidative and glycolytic fibers, and highlighted significant differences between the proteomes of type IIb fibers from different muscle groups, including a differential expression of desmin and actinin-3. A detailed map of the Lys-6 incorporation rates in muscle fibers showed an increased turnover of slow fibers compared to fast fibers. In addition, labeling of mitochondrial respiratory chain complexes revealed a broad range of Lys-6 incorporation rates, depending on the localization of the subunits within distinct complexes.
2021-02-02 | PXD017755 | Pride
Project description:Purpose: Reduced Representation Bisulfite Sequencing (RRBS) DNA input requirements become a challenge when working with small pools of tissue-specific cell types. We describe an application of the RRBS method to assess DNA methylation on low-DNA input from human slow-twitch (MHC I) and fast-twitch (MHC IIa) skeletal muscle fibers. Methods : Fiber-type specific (MHC I and MHC IIa muscle fibers) total DNA was extracted from vastus lateralis muscle biopsies of 8 young physically active men (~25 yrs). A total of 16 DNA samples were generated : 8 DNA samples from pure MHC I and 8 DNA samples from pure MHC IIa muscle fibers. An equal quantity of DNA (4 ng) from each sample was combined to generate a "pooled" DNA sample representing all 8 subjects for each fiber type. Two fiber-type specific "pooled" samples of 32 ng of DNA were generated for library construction and sequencing, creating a Type 1 (MHC I muscle fibers) and Type 2a (MHC IIa muscle fibers) sample. Sequencing was performed using the HiSeq 2500 (Illumina) with 50 bp paired-end read parameters. Minimum sequencing read coverage of 5 (5x) was used as the cutoff for CpG-sites inclusion in the DNA methylation analysis. Fisher’s exact test was performed on CpG-sites that overlapped (i.e. identified in both samples) Type 1 and Type 2a samples to obtain p-values that indicate the likelihood of the site being a differentially methylated CpG-site (DMS). DMS with p<0.05 were classified as hypermethylated or hypomethylated if they were more or less methylated than the Type 1 sample, which was used as the reference sample. Results: The 32 ng of DNA from fiber-type specific muscle samples (Type 1 and 2a) used in this study ensured similar sequencing quality as compared to other studies using greater DNA input (>50 ng). Mapping ratios of ~47% and bisulfite conversion rates of ~97-98% were obtained.The unique and best alignment was successfully assessed for each of 17,376,728 CpG-sites in the Type 1 sample and 17,006,993 in the Type 2a sample, which represents ~30% of the total CpG number in the human genome. We identified 143,160 differentially methylated CpG-sites (DMS) across 14,046 genes among MHC I and MHC IIa muscle fibers. The analysis revealed that some genes predominantly expressed in MHC I were hypermethylated in MHC IIa muscle fibers. Conclusion: This study validates a low-DNA input RRBS method for human skeletal muscle samples to investigate the methylation patterns at a fiber-type specific level. These are the first fiber-type specific methylation data reported from human skeletal muscle. Considering the metabolic and structural differences between MHC I and MHC IIa muscle fibers, this technique could provide novel insights into the skeletal muscle methylation profile in relation to health, performance, disease or disuse.
2017-01-10 | GSE83741 | GEO
Project description:Background: monogastric feeding is dependent on conventional feedstuffs such as corn and soybean meal. However, these are increasingly expensive and environmentally unsustainable. Therefore, there is an increasing interest in high quality and sustainable alternative feedstuffs, namely microalgae. Chlorella vulgaris is one of such alternatives, with a high level of crude protein and bioactive compounds. However, its recalcitrant cell wall hinders the digestive process. CAZyme supplementation is a possible solution to overcome such a problem. The objective of this work was to evaluate the effect of a 5% dietary C. vulgaris (CV) and enzymatic supplementation (CV+R – Rovabio® Excel AP; CV+M – four CAZyme mix) on muscle transcriptome and proteome of finishing pigs in an integrated approach. Results: there were no differences concerning the live pig production performance. Pigs that were fed with the microalga had increased deposition of n-3 PUFA, including C20:5n-3 (EPA) in the muscle. Control pigs increased the abundance of contractile apparatus (e.g. MYH1, MYH2, MYH4) and energy metabolism (e.g. CKMT1, NDUFS3) proteins, demonstrating increased nutrient availability. Moreover, they had increased abundance of SCD, characteristic of increased glucose availability via the activation of SREBP-1c and ChREBP. CV and CV+R pigs upregulated proteolytic and apoptotic genes (e.g. BAX, DDA1), whilst increasing the abundance of glucose (UQCRFS1) and fatty acid catabolism (ACADS) proteins. CV+R pigs upregulated ACOT8 and SIRT3 genes as a response to reduced nutrient availability, to maintain energy homeostasis and oxidative status. The CV+M pigs showed the least number of significant differences in both omics platforms. Conclusions: the four-CAZyme mix designed to degrade the microalgal cell wall was efficient in re-establishing the muscle metabolism, mitigating the otherwise negative effects of microalga incorporation in the diet.
2023-03-11 | PXD033814 | Pride
Project description:Skeletal muscle plays an important role in the health-promoting effects of exercise training, yet the underlying mechanisms are not fully elucidated. Proteomics of skeletal muscle is challenging due to presence of non-muscle tissues and existence of different fiber types confounding the results. This can be circumvented by analysis of pure fibers; however this requires isolation of fibers from fresh tissues. We developed a workflow enabling proteomics analysis of isolated muscle fibers from freeze-dried muscle biopsies and identified >4000 proteins. We investigated effects of exercise training on the pool of slow and fast muscle fibers. Exercise altered expression of >500 proteins irrespective of fiber type covering several metabolic processes, mainly related to mitochondria. Furthermore, exercise training altered proteins involved in regulation of post-translational modifications, transcription, Ca++ signaling, fat, and glucose metabolism in a fiber type-specific manner. Our data serves as a valuable resource for elucidating molecular mechanisms underlying muscle performance and health. Finally, our workflow offers methodological advancement allowing proteomic analyses of already stored freeze-dried human muscle biopsies.
2020-12-21 | PXD012824 | Pride
Project description:Physical training improves insulin sensitivity and can prevent type 2 diabetes. However, approximately 20% of individuals lack a beneficial outcome in glycemic control. TGF-β, identified as a possible upstream regulator involved in this low response is also a potent regulator of microRNAs (miRs). Aim of this study was to elucidate the potential impact of TGF-β-driven miRNAs on individual exercise response. Non-targeted long and sncRNA sequencing analyses of TGF-β1-treated human skeletal muscle cells corroborated the effects of TGF-β1 on muscle cell differentiation and the induction of extracellular matrix components, and identified several TGF-β1-regulated miRs. qPCR validated a potent upregulation of miR143/145 and miR181a2 by TGF-β1 in both human myoblasts and differentiating myotubes. Human skeletal muscle biopsy donors participating in a supervised 8-week endurance training intervention (n=40) were categorized as responder based on fold change ISIMats (≥ +1.1) or low responder. In skeletal muscle of low responders, TGF-β signaling and miR143/145 levels were stronger induced by training than in responders. Target-mining revealed HDACs, MYHs and insulin signaling components INSR and IRS1 as potential miR143/145 targets. All these targets were down-regulated in TGF-β1-treated myotubes. Transfection of miR mimics in differentiated myotubes validated MYH1, MYH4, and IRS1 as miR143/145 targets. Elevated TGF-β signaling and miR143/145 induction in skeletal muscle of low responders might obstruct improvements in insulin sensitivity by training in two ways: By negatively impacting cell fusion and myofiber functionality via miR143 suppressing its novel targets MYH1/4; by directly impairing insulin signaling via reduction of INSR by TGF-β and fine-tuned IRS1 suppression by miR143.
2021-12-07 | GSE188234 | GEO
Project description:Physical training improves insulin sensitivity and can prevent type 2 diabetes. However, approximately 20% of individuals lack a beneficial outcome in glycemic control. TGF-β, identified as a possible upstream regulator involved in this low response is also a potent regulator of microRNAs (miRs). Aim of this study was to elucidate the potential impact of TGF-β-driven miRNAs on individual exercise response. Non-targeted long and sncRNA sequencing analyses of TGF-β1-treated human skeletal muscle cells corroborated the effects of TGF-β1 on muscle cell differentiation and the induction of extracellular matrix components, and identified several TGF-β1-regulated miRs. qPCR validated a potent upregulation of miR143/145 and miR181a2 by TGF-β1 in both human myoblasts and differentiating myotubes. Human skeletal muscle biopsy donors participating in a supervised 8-week endurance training intervention (n=40) were categorized as responder based on fold change ISIMats (≥ +1.1) or low responder. In skeletal muscle of low responders, TGF-β signaling and miR143/145 levels were stronger induced by training than in responders. Target-mining revealed HDACs, MYHs and insulin signaling components INSR and IRS1 as potential miR143/145 targets. All these targets were down-regulated in TGF-β1-treated myotubes. Transfection of miR mimics in differentiated myotubes validated MYH1, MYH4, and IRS1 as miR143/145 targets. Elevated TGF-β signaling and miR143/145 induction in skeletal muscle of low responders might obstruct improvements in insulin sensitivity by training in two ways: By negatively impacting cell fusion and myofiber functionality via miR143 suppressing its novel targets MYH1/4; by directly impairing insulin signaling via reduction of INSR by TGF-β and fine-tuned IRS1 suppression by miR143.
2021-12-07 | GSE188235 | GEO
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2020-01-11 | GSE142977 | GEO
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Project description:Skeletal muscle fiber type distribution has implications for human health, muscle function and performance. This knowledge has been gathered using labor intensive and costly methodology that limited these studies. This data was used to present a new method based on muscle tissue RNA sequencing data to estimate the distribution of skeletal muscle fiber types from frozen human samples, allowing for larger number of individuals to be tested in a cost and labor efficient way. Muscle biopsies were taken from the vastus lateralis muscle of 23 human subjects from Japan. Samples were sequenced on the NextSeq® 500/550 (Illumina).
| EGAS00001006362 | EGA
Project description:Skeletal muscle fiber type distribution has implications for human health, muscle function and performance. This knowledge has been gathered using labor-intensive and costly methodology that limited these studies. This data was used to present a new method based on muscle tissue RNA sequencing data to estimate the distribution of skeletal muscle fiber types from frozen human samples, allowing for larger number of individuals to be tested in a cost and labor efficient way. Muscle biopsies were taken from the vastus lateralis muscle of 39 Swedish male subjects. Samples were sequenced on the NextSeq® 500/550 (Illumina).
| EGAS00001006363 | EGA