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Record W4307405395 · doi:10.26685/urncst.411

The Role of PRMT1 in Skeletal Muscle Hypertrophy: A Research Protocol

2022· article· en· W4307405395 on OpenAlexaff
Asim Shaikh, Ken Yu, Nabil Haider

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSkeletal muscleMuscle hypertrophyMyosinInternal medicineEndocrinologysedBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Introduction: Protein arginine methyltransferases (PRMTs) are an important class of enzymes that catalyze post-translational modification of arginine residues on histone or nonhistone substrates. In skeletal muscle, PRMT1 expression has been linked to muscle homeostasis, regeneration, metabolism, and synthesis. The expression of PRMT1 in skeletal muscle has already been shown to be induced by treadmill exercise, however, the relationship between PRMT1 and skeletal muscle hypertrophy remains unexplored. This study aims to determine the significance of PRMT1 in muscle hypertrophy by identifying whether wild-type mice (WT) experience elevated levels of exercise-induced muscle hypertrophy compared to PRMT1-knockout mice (KO). Methods: 6 month old mice will be split into male (M) and female (F) groups. Both M and F groups will then be randomly distributed to WT and KO groups. WT M, KO M, WT F, and KO F groups will be further randomly divided into sedentary (SED) and exercise (EX) groups. EX groups will undergo a resistance training program for 8 weeks while SED groups will be at rest. All mice will be euthanized by cervical dislocation while at rest by the end of the 8 weeks and their tissue samples will be collected. The progression of muscle hypertrophy between groups will be assessed weekly using Bioseb grip strength tests in grams normalized to body mass in grams (g/g). Following the 3 months, muscle biopsies of the tibialis anterior (TA) muscle will be taken to perform fluorescence staining of the myofibers. Primary and secondary antibodies against myosin heavy chain I, IIa, IIx, and IIb will be used to stain cross-sectional areas. The quantity and cross-sectional area of the fast-glycolytic fibers will be measured to quantify muscle hypertrophy between WT and KO groups. Anticipated Results: The Bioseb grip strength tests and TA immunostaining should demonstrate that WT mice have greater grip strength and a higher quantity of myofibers with larger cross-sectional areas compared to KO mice. Conclusion: These results would demonstrate the importance of PRMT1 in facilitating exercise-induced muscle hypertrophy. Future directions may involve exploring downstream signaling molecules of PRMT1 to identify potential PRMT1 upregulators, accelerating muscle hypertrophy and combating pathological muscle atrophy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0540.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.413
Teacher spread0.379 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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