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Record W4413486383 · doi:10.1080/15548627.2025.2551477

PRMT1 (protein arginine methyltransferase 1) is essential for neuromuscular junction and mitochondrial homeostasis via mitophagy regulation

2025· article· en· W4413486383 on OpenAlexaff
Ju‐Hyeon Bae, Chang‐Lim You, Yideul Jeong, June Kim, Jinwoo Lee, Hyeon‐Ju Jeong, Hyebeen Kim, Tuan Anh Vuong, Youngdae Gwon, Gyu‐Un Bae, Jong‐Sun Kang

Bibliographic record

VenueAutophagy · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsInstitute of Aging
FundersKorea Health Industry Development InstituteNational Research Foundation of KoreaMinistry of Education
KeywordsMitophagyBiologyCell biologyMethyltransferaseMitochondrionHomeostasisAutophagyNeuromuscular junctionNeuroscienceBiochemistryMethylationApoptosisGene

Abstract

fetched live from OpenAlex

The neuromuscular junction (NMJ) is essential for transmitting neural stimulus to muscles, triggering muscle contraction. Mitochondria are enriched in NMJ to support the energy needs required for neuromuscular function and stability. Thus, maintaining mitochondrial homeostasis through the clearance of damaged mitochondria, a process known as mitophagy, is vital for preserving neuromuscular health. Here, we highlight the crucial role of muscle PRMT1 in maintaining NMJ and mitochondrial homeostasis via mitophagy regulation. PRMT1 is distinctively expressed in myofibers, accumulating in the postsynaptic area, with its levels upregulated in denervated muscles. PRMT1-ablated muscles displayed disrupted NMJs and an accumulation of abnormal mitochondria, accompanied by increased mitochondrial oxidative stress. Additionally, prmt1 depletion in muscles specifically impaired TBK1 (TANK binding kinase 1)-OPTN (optineurin)-mediated mitophagy. Overall, our findings suggest that PRMT1 plays a critical role in maintaining NMJ and mitochondrial health by regulating selective mitophagy through TBK1-OPTN.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.241
Teacher spread0.237 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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