Exercise‐Induced Expression, Function, and Localization of Protein Arginine Methyltransferases in Skeletal Muscle
Notice bibliographique
Résumé
Protein arginine methyltransferase 1 (PRMT1), PRMT4, and PRMT5 catalyze the methylation of arginine residues on target proteins. In turn, these marked proteins mediate a variety of biological functions. By regulating molecules that are critical to the remodelling of skeletal muscle phenotype, PRMTs may influence skeletal muscle plasticity. Thus, our study tests the hypothesis that the intracellular signals required for muscle adaptation to exercise will be associated with the induction of PRMT expression and activity. C57BL/6 mice were assigned to one of three experimental groups: sedentary (SED), acute bout of exercise (0PE), or acute exercise followed by 180 minutes of recovery (3PE). The mice in the exercise groups performed a single bout of treadmill running at 15 m/min for 90 minutes. The extensor digitorum longus (EDL) and the soleus (SOL) muscles were utilized for RT‐qPCR and Western blot assays, while the gastrocnemius (GAST) muscle was employed to isolate nuclear and cytosolic compartments for protein localization analyses. AMPK activation status was 1.7–2.2 fold higher (p < 0.05) immediately post‐exercise (0PE) in the EDL and SOL muscles, and returned to baseline levels at 3PE. Furthermore, PGC‐1α mRNA expression was elevated by 10–13‐fold (p < 0.05) in both muscles at 0PE and 3PE, which demonstrates that the experimental design utilized in this study was effective at evoking an intracellular milieu indicative of the exercise response. The level of whole muscle PGC‐1α protein content was similar between SED, 0PE, and 3PE. In muscles from the SED group, PRMTs exhibited fiber type‐ and enzyme‐specific gene expression patterns at the mRNA and protein levels. PRMT1 and PRMT5 mRNA expression was similar between muscles, while PRMT4 transcript levels were significantly lower (−40%) in SOL compared to EDL muscles. PRMT1 and PRMT5 protein content was 90% and 140% higher in SOL relative to EDL muscles, respectively (p < 0.05), whereas in contrast PRMT4 displayed similar protein expression between muscle types. PRMT mRNA and protein content were similar between SED, 0PE, and 3PE. Assessment of muscle monomethylarginine (MMA) content was performed in order to examine total PRMT activity, while asymmetric dimethylarginine (ADMA) levels were assayed as a marker of PRMT1 and PRMT4 activity, and symmetric dimethylarginine (SDMA) content was analyzed to assess PRMT5 function. The presence of all three methylarginine species was significantly higher (40–100%) in the SOL muscles compared to the EDL muscles. As observed with PRMT gene expression, MMA, ADMA, and SDMA were similar between SED, 0PE, and 3PE. Analysis of GAST nuclear and cytosolic fractions demonstrated that PRMT protein expression was significantly higher in the cytosolic compartment versus the myonuclei. Cellular PRMT localization was similar between SED, 0PE, and 3PE. Collectively, this study reveals characteristics of PRMT biology that may important for the exercise‐induced remodelling of skeletal muscle. Support or Funding Information Natural Science and Engineering Research Council of Canada, Canada Research Chairs
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».