Protein Arginine Methyltransferases Exhibit Distinct Cellular Localization and Function During Skeletal Muscle Disuse
Notice bibliographique
Résumé
Protein arginine methyltransferase 1 (PRMT1), PRMT4 (also known as co‐activator‐associated arginine methyltransferase 1; CARM1), and PRMT5 catalyze the methylation of arginine residues on target proteins, thereby mediating intracellular processes such as signal transduction and transcriptional control. Although only a few studies have investigated PRMTs in skeletal muscle, evidence strongly suggests that these enzymes regulate skeletal muscle plasticity. However, the function of PRMTs in response to disuse‐induced muscle remodelling remains unknown. Thus, our study objective was to determine whether denervation‐induced muscle disuse alters the cellular localization and specific methyltransferase activities of PRMT1, PRMT4, and PRMT5 in skeletal muscle within the context of early signaling events that precede muscle atrophy. Mice were subjected to 6, 12, 24, 72, or 168 hours of unilateral hindlimb denervation (DEN). The contralateral limb served as an internal control. Western blot analyses were employed to determine nuclear and cytosolic protein expression levels in the DEN gastrocnemius (GAST) muscle, relative to the contralateral, non‐DEN, control GAST muscle across the experimental time course. Muscle mass significantly decreased by ~25% in the DEN hindlimb following 168 hours of disuse. The PRMTs exhibited remarkable enzyme‐specific spatial and temporal expression in skeletal muscle in response to DEN. Nuclear PRMT1 content significantly decreased by 40% after 6 hours of DEN prior to increasing by ~2.8‐fold (p < 0.05) after 72 and 168 hours of disuse. PRMT4 levels in the myonuclei were significantly augmented by 92% at 72 hours, before decreasing by 32% (p < 0.05) following 168 hours. Nuclear PRMT5 protein content increased 2.8‐fold (p < 0.05) after 12 hours, but was significantly reduced by 43–63% following 72 and 168 hours of denervation. These unique expression profiles suggest that PRMTs have distinct functions in response to muscle disuse. Furthermore, since ~85% of PRMT protein content was found within the cytosolic compartment, it was not surprising that cytosolic PRMT levels reflected whole muscle PRMT expression. Interestingly, the levels of myonuclear peroxisome proliferator‐activated receptor‐γ coactivator‐1α (PGC‐1α) protein content, a master regulator of skeletal muscle phenotype, decreased 33% (p < 0.05) following 6 hours of denervation, which suggests a coordinated expression of PRMT1 and PGC‐1α mediated by a common upstream regulator(s). To assess PRMT methyltransferase activity, we next examined the myonuclear content of histone 4 arginine 3 (H4R3), H3R17, and H3R8, which serve as specific targets for PRMT1, PRMT4, and PRMT5 methylation, respectively. H4R3 and H3R17 marks increased 3.2‐ and 8.8‐fold after 168 hours of DEN, whereas H3R8 methylation was elevated 1.7‐fold following 12 hours of disuse. Our results suggest that alterations in PRMT1, PRMT4, and PRMT5 localization and function in response to skeletal muscle disuse are rapid and dynamic. This study provides evidence that PRMTs participate in skeletal muscle remodelling that occurs prior to, as well as during, muscle atrophy. Support or Funding Information Natural Sciences and Engineering Research Council of Canada and Canada Research Chairs
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».