Changes in Protein Fluxes and Gene Expression in Non-Injured Muscle Tissue Distant from an Acute Myotoxic Injury in Male Mice
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ABSTRACT:
ORGANISM(S): Mus Musculus (mouse)
SUBMITTER: Alec Bizieff
PROVIDER: PXD051860 | JPOST Repository | Tue Apr 30 00:00:00 BST 2024
REPOSITORIES: jPOST
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Project description:Background Changes in protein turnover play an important role in dynamic physiological processes, including skeletal muscle regeneration, which occurs as an essential part of tissue repair after injury. The inability of muscle tissue to recapitulate this regenerative process can lead to pathology and clinical symptoms in various musculoskeletal diseases, including muscular dystrophies and pathological atrophy. Methods Here, we employed a workflow that couples deuterated water (2H2O) administration with tandem mass spectrometry (MS) to systematically measure in-vivo protein turnover rates across the muscle proteome in 8-week-old male C57BL6/J mice. We compared the turnover kinetics of over 100 proteins in response to cardiotoxin (CTX) induced muscle damage and regeneration at unique sequential stages along the regeneration timeline. This analysis is compared to gene expression data from mRNA-sequencing (mRNA-seq) from the same tissue. Results The data reveals quantitative protein flux signatures in response to necrotic damage, in addition to sequential differences in cell proliferation, energy metabolism, and contractile gene expression. Interestingly, the mRNA changes correlated poorly with changes in protein synthesis rates, consistent with post-transcriptional control mechanisms. Conclusions In summary, the experiments described here reveal the signatures and timing of protein flux changes during skeletal muscle regeneration, as well as the inability of mRNA expression measurements to reveal changes in directly measured protein turnover rates. The results of this work described here provide a better understanding of the muscle regeneration process and could help to identify potential biomarkers or therapeutic targets.
2024-03-08 | GSE261089 | GEO
Project description:Background - Changes in protein turnover play an important role in dynamic physiological processes, including skeletal muscle regeneration, which occurs as an essential part of tissue repair after injury. The inability of muscle tissue to recapitulate this regenerative process can lead to pathology and clinical symptoms in various musculoskeletal diseases, including muscular dystrophies and pathological atrophy.
Methods - Here, we employed a workflow that couples deuterated water (2H2O) administration with tandem mass spectrometry (MS) to systematically measure in-vivo protein turnover rates across the muscle proteome in 8-week-old male C57BL6/J mice. We compared the turnover kinetics of over 100 proteins in response to cardiotoxin (CTX) induced muscle damage and regeneration at unique sequential stages along the regeneration timeline. This analysis is compared to gene expression data from mRNA-sequencing (mRNA-seq) from the same tissue.
Results - The data reveals quantitative protein flux signatures in response to necrotic damage, in addition to sequential differences in cell proliferation, energy metabolism, and contractile gene expression. Interestingly, the mRNA changes correlated poorly with changes in protein synthesis rates, consistent with post-transcriptional control mechanisms.	
Conclusions - In summary, the experiments described here reveal the signatures and timing of protein flux changes during skeletal muscle regeneration, as well as the inability of mRNA expression measurements to reveal changes in directly measured protein turnover rates. The results of this work described here provide a better understanding of the muscle regeneration process and could help to identify potential biomarkers or therapeutic targets.
2024-03-14 | PXD050593 | JPOST Repository
Project description:Background Changes in protein turnover play an important role in dynamic physiological processes, including skeletal muscle regeneration, which occurs as an essential part of tissue repair after injury. The inability of muscle tissue to recapitulate this regenerative process can lead to pathology and clinical symptoms in various musculoskeletal diseases, including muscular dystrophies and pathological atrophy.
Methods Here, we employed a workflow that couples deuterated water (2H2O) administration with tandem mass spectrometry (MS) to systematically measure in-vivo protein turnover rates across the muscle proteome in 8-week-old male C57BL6/J mice. We compared the turnover kinetics of over 100 proteins in response to cardiotoxin (CTX) induced muscle damage and regeneration at unique sequential stages along the regeneration timeline. This analysis is compared to gene expression data from mRNA-sequencing (mRNA-seq) from the same tissue.
Results The data reveals quantitative protein flux signatures in response to necrotic damage, in addition to sequential differences in cell proliferation, energy metabolism, and contractile gene expression. Interestingly, the mRNA changes correlated poorly with changes in protein synthesis rates, consistent with post-transcriptional control mechanisms.	
Conclusions In summary, the experiments described here reveal the signatures and timing of protein flux changes during skeletal muscle regeneration, as well as the inability of mRNA expression measurements to reveal changes in directly measured protein turnover rates. The results of this work described here provide a better understanding of the muscle regeneration process and could help to identify potential biomarkers or therapeutic targets.
2024-03-12 | PXD050492 | JPOST Repository
Project description:Age-related skeletal muscle atrophy is a debilitating condition that has significant negative impacts on health and quality of life. Despite broad clinical impact, the molecular basis of age-related skeletal muscle atrophy is not well understood. Here, we determined protein turnover rates in skeletal muscle of 22-month-old control mice and 22-month-old muscle-specific ATF4 knockout (ATF4 mKO) mice, which are partially resistant to age-related muscle atrophy. All samples were analyzed by DDA TripleTOF 6600 mass spectrometer for downstream analysis of protein turnover. Quantitative MS1 peak areas were extracted from DDA raw files in the Skyline-Daily software platform. ProteinPilot search results were imported into the Skyline software to build a spectral library, followed by import of raw MS files for extraction of chromatographic peak areas. A custom skyline report containing all peptide and protein characteristics, annotations, and quantitative information including isotopologue peak areas was exported and used for downstream analysis and calculation of protein turnover rates in R using in-house R scripts (TurnoveR tool). Precursor-pool corrected protein turnover rates were calculated using the same approach employed in previous studies using the Topograph software platform. For calculation of protein abundance changes, DIA acquisitions from six samples (3 ATF4 KO and 3 WT samples) were quantitatively processed using Spectronaut v14. Analysis of protein turnover indicates that most proteins with altered turnover rates in ATF4 mKO muscles have decreased half-lives and are components of the mitochondrion. These proteins include subunits of the ATP Synthase (Atp5b, Atp5o), Ubiquinol-Cytochrome C Reductase (Uqcrc1, Uqcrh) and Cytochrome C Oxidase (Cox6b1) complexes, among others. These findings implicate increased rates of mitochondrial protein turnover as a mechanism that underlies, at least in part, the protection from age-induced muscle atrophy in ATF4 mKO mice.
| MSV000088083 | MassIVE
Project description:In spite of its central role in biology and disease, protein turnover is a largely understudied aspect of most proteomic studies due to the complexity of computational workflows that analyze in-vivo turnover rates. To address this need, we developed a new computational tool, TurnoveR, to accurately calculate protein turnover rates from mass spectrometric analysis of metabolic labeling experiments in Skyline, a free and open-source proteomics software platform. TurnoveR is a straightforward graphical interface that enables seamless integration of protein turnover analysis into a traditional proteomics workflow in Skyline, allowing users to take advantage of the advanced and flexible data visualization and curation features built into the software. The TurnoveR computational pipeline performs critical steps to determine protein turnover rates, including isotopologue demultiplexing, precursor-pool correction, statistical analysis, and generation of data reports and visualizations. This workflow is compatible with many mass spectrometric platforms and re-capitulates turnover rates and differential changes in turnover rates between treatment groups calculated in previous studies. We expect that the addition of TurnoveR to the widely used Skyline proteomics software will facilitate wider utilization of protein turnover analysis in highly relevant biological models, including aging, neurodegeneration, and skeletal muscle atrophy.
2022-02-22 | MSV000088893 | MassIVE
Project description:Aging is associated with a progressive loss of tissue and metabolic homeostasis. Changes in the cellular management of the proteome, as well as changes in cellular metabolism have been implicated in this decline, yet our understanding of causal relationships between these changes remains incomplete. Genetic studies have shown that single-gene perturbations are sufficient to significantly impact the aging process, delaying all associated cellular deficiencies, and thus increasing lifespan. Here, we explore metabolic and proteostatic changes associated with lifespan extension by one such perturbation. Focusing on the Drosophila brain, we comprehensively characterize protein turnover rates and assess metabolic flux to identify changes in protein and metabolic homeostasis in long-lived animals. Using organism-wide 15N labeling, we observe that the turnover rates of ~2000 proteins in the fly head decline with age, and that this decline is prevented in animals with lifespan-extending elevation of Jun-N-terminal Kinase (JNK) activity. Combining transcriptomic, metabolomic, and metabolic flux analysis, we find that JNK activation in the brain results in decreased steady-state Glucose-6-phosphate levels coupled to elevated carbon flux into the pentose phosphate pathway due to the transcriptional induction of Glucose-6-phosphate Dehydrogenase. This metabolic change promotes proteostasis in the aging brain, likely via increased NADPH against oxidative stress response. Through a comprehensive characterization of the cellular and biochemical changes elicited by a lifespan extending mutation, our study thus identifies a JNK-induced metabolic switch that increases lifespan by promoting neuronal proteostasis.
| MSV000080118 | MassIVE
Project description:Aging is associated with a progressive loss of tissue and metabolic homeostasis. Changes in the cellular management of the proteome, as well as changes in cellular metabolism have been implicated in this decline, yet our understanding of causal relationships between these changes remains incomplete. Genetic studies have shown that single-gene perturbations are sufficient to significantly impact the aging process, delaying all associated cellular deficiencies, and thus increasing lifespan. Here, we explore metabolic and proteostatic changes associated with lifespan extension by one such perturbation. Focusing on the Drosophila brain, we comprehensively characterize protein turnover rates and assess metabolic flux to identify changes in protein and metabolic homeostasis in long-lived animals. Using organism-wide 15N labeling, we observe that the turnover rates of ~2000 proteins in the fly head decline with age, and that this decline is prevented in animals with lifespan-extending elevation of Jun-N-terminal Kinase (JNK) activity. Combining transcriptomic, metabolomic, and metabolic flux analysis, we find that JNK activation in the brain results in decreased steady-state Glucose-6-phosphate levels coupled to elevated carbon flux into the pentose phosphate pathway due to the transcriptional induction of Glucose-6-phosphate Dehydrogenase. This metabolic change promotes proteostasis in the aging brain, likely via increased NADPH against oxidative stress response. Through a comprehensive characterization of the cellular and biochemical changes elicited by a lifespan extending mutation, our study thus identifies a JNK-induced metabolic switch that increases lifespan by promoting neuronal proteostasis.
| MSV000080118 | GNPS
Project description:Skeletal muscle is a post-mitotic tissue that exhibits an extremely low turnover in the absence of disease or injury. At the same time, muscle possesses remarkable regenerative capacity mediated by satellite cells (SCs) that reside in close association with individual myofibers, underneath the fiber’s basal lamina. Consistent with the low turnover of the muscle, SCs in adult animals are mitotically quiescent and therefore provide an excellent model to study stem cell quiescence. As an organism grows older, the resident stem cells are exposed to a deteriorating environment and experience chronological aging. In stem cells with high turnover, the effects of chronological aging are superimposed upon the effects of the replicative aging that results from DNA replication and cell division. On the contrary, SCs experience minimal replicative aging due to their low turnover. They are thus a good model to study the consequence of chronological aging of quiescent stem cells. We performed microarray analysis of quiescent and activated SCs from both young and aged mice to understand the global gene expression profile underlying stem cell properties such as quiecence and self-renewal, and to understand how the transcriptome of a quiescent stem cell pouplation changes with age. VCAM+/CD31-/CD45-/Sca1- quiescent satellite cells (QSCs) were isolated by FACS from hindlimb muscle of uninjured 2-3- or 22-24-month old mice. Activated satellite cells (ASCs) were isolated from hindlimb muscles of BaCl2-injured mice of the same age 36, 60 and 84 hours after injury using the same cell surface marker combination. YFP-expressing cells were isolated from 2-3-month old Pax7CreER/+; ROSA26eYFP/+ mice in which satellite cells are labeled geneticall by YFP expression. Total RNA was extracted from cells with the Trizol reagent according to manufacturer's instructions. RNA was then processed and assayed with Affymetrix Mouse Gene 1.0 ST arrays.
2013-05-23 | E-GEOD-47177 | biostudies-arrayexpress
Project description:Common acute injuries to skeletal muscle can lead to significant pain and disability. The current therapeutic approaches for treating muscle injuries are dependent on the clinical severity but not on the type of injury. The aim of this study was to compare the molecular events accompanying the degeneration and repair phases of contraction- and trauma-induced muscle injuries by applying DNA microarray methodology to two well-characterized mouse models of skeletal muscle injury, i.e., eccentric contraction-induced injury (CI) and traumatic injury induced by freezing (FI). Histopathological evaluation and measurements of muscle strength were accompanied by analyses of expression for 12,488 known genes at four time points ranging from 6 hours to 7 days post-injury. Real-time RT-PCR was used to confirm some of the gene expression temporal profiles. While both types of injury cause early induction of transcription, myogenic, and stress-responsive factors, they also induce injury type-specific gene expression profiles. CI only activates a set of genes associated with the protection and repair of protein and structural integrity while FI activates gene sets which result in extensive inflammatory responses, tissue remodeling, angiogenesis, and myofibre and extracellular matrix synthesis. This study identified genes that are candidates for therapeutic manipulation following two disparate types of muscle injury. Experiment Overall Design: 2 types of skeletal muscle injury (eccentric contraction- and freeze-induced) x 4 time points after injury (6 hours, 1 day, 3 days, and 7 days post-injury). There were 3 samples for each of the 8 cells with the exception of the 'contraction injury, 1 day post-injury' and 'freeze injury, 7 days post-injury' cells; for each of these 2 cells, there were only 2 samples. Additionally, there were 3 control (i.e., uninjured) muscle samples.
2007-11-22 | E-GEOD-5413 | biostudies-arrayexpress
Project description:Skeletal muscle is a post-mitotic tissue that exhibits an extremely low turnover in the absence of disease or injury. At the same time, muscle possesses remarkable regenerative capacity mediated by satellite cells (SCs) that reside in close association with individual myofibers, underneath the fiberM-bM-^@M-^Ys basal lamina. Consistent with the low turnover of the muscle, SCs in adult animals are mitotically quiescent and therefore provide an excellent model to study stem cell quiescence. As an organism grows older, the resident stem cells are exposed to a deteriorating environment and experience chronological aging. In stem cells with high turnover, the effects of chronological aging are superimposed upon the effects of the replicative aging that results from DNA replication and cell division. On the contrary, SCs experience minimal replicative aging due to their low turnover. They are thus a good model to study the consequence of chronological aging of quiescent stem cells. We have developed an isolation protocol to selectively enrich SCs by FACS from adult mice and applied the ChIP-seq technology to obtain H3K4me3, H3K27me3 and H3K36me3 from quiescent and activated SCs from young mice and from quiescent SCs from old mice. Our analysis aims to understand the chromatin features underlying stem cell properties such as quiecence and lineage-potency, and to understand how the chromatin structure of a quiescent stem cell pouplation changes with age. VCAM+/CD31-/CD45-/Sca1- quiescent satellite cells (QSCs) were isolated by FACS from hindlimb muscle of uninjured 2-3- or 22-24-month old mice and processed for ChIP-seq.
2013-08-13 | E-GEOD-47362 | biostudies-arrayexpress