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Record W4402270088 · doi:10.7554/elife.101386.1.sa2

eLife Assessment: PRMT1-SFPQ regulates intron retention to control matrix gene expression during craniofacial development

2024· peer-review· en· W4402270088 on OpenAlexaff
Loydie A. Jerome‐Majewska

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntronCraniofacialGene expressionGeneMatrix (chemical analysis)Control (management)Cell biologyBiologyGeneticsChemistryComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Spliceosomopathies, which are a group of disorders caused by defects in the splicing machinery, frequently affect the craniofacial skeleton and limb, but the molecular mechanism underlying this tissue-specific sensitivity remains unclear. Splicing factors and small nuclear ribonucleoproteins (snRNPs) are core components of splicing machinery, and splicing factors are further controlled by post-translational modifications, among which arginine methylation is one of the most frequent modifications. To determine the splicing mechanisms in cranial neural crest cells (CNCCs), which give rise to the majority of the craniofacial skeleton, we focused on upstream regulators for splicing proteins responsible for arginine methylation, protein arginine methyltransferases (PRMT). These enzymes catalyze arginine methylation of splicing factors to modify splicing factor expression and activity, influencing the splicing product. PRMT1 is the highest expressing enzyme of the PRMT family in CNCCs and its role in craniofacial development is evident based on our earlier investigation, where CNCC-specific Prmt1 deletion caused cleft palate and mandibular hypoplasia. In the present study, we uncover the roles of PRMT1 in CNCCs in the regulation of intron retention, a type of alternative splicing where introns are retained in the mature mRNA sequence. Mandibular primordium of Prmt1-deficient embryos demonstrated an increase in the percentage of intron-retaining mRNA of matrix genes, which triggered NMD, causing a reduction in matrix transcript expression. We further identified SFPQ as a substrate of PRMT1 that depends on PRMT1 for arginine methylation and protein expression in the developing craniofacial structures. Depletion of SFPQ in CNCCs phenocopied PRMT1 deletion in that matrix, Wnt signaling components and neuronal gene transcripts contained higher IR and exhibited lower expression. We further recognized gene length as a common feature among SFPQ-regulated genes in CNCCs. Altogether, these findings demonstrate that the PRMT1-SFPQ pathway modulates matrix Wnt signaling components and neuronal gene expression via intron retention in CNCCs during craniofacial development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.298
Teacher spread0.288 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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