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Record W4417298624 · doi:10.1038/s42003-025-09145-x

Structural dependence of ProQ-mRNA interactions in live bacterial cells

2025· article· en· W4417298624 on OpenAlexafffund
Zunwu Zhou, Karine Prévost, Marie‐Claude Carrier, Nurai El Ashry, Jingfang Mu, Carlos Daniel Vega Valle, Seong-Jin Park, Alyssa Guzman, Éric Massé, Jingyi Fei

Bibliographic record

VenueCommunications Biology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Sherbrooke
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMessenger RNABacteriaRegulatorExponential growthResidue (chemistry)Transfer RNARNARegulation of gene expression

Abstract

fetched live from OpenAlex

ProQ is a post-transcriptional gene regulator in bacteria known to globally interact with both messenger RNAs (mRNAs) and small regulatory RNAs (sRNAs). Here, we investigate ProQ-mRNA interactions in live bacteria using single-molecule tracking and reveal their dependence on the structural elements of ProQ. We illustrate that during exponential growth phase, stationary phase, and osmotic stress, ProQ mainly binds to mRNAs. All structural domains of ProQ, including N-terminal domain, linker region, and C-terminal domain, contribute to mRNA binding. While residue Y70 is generally required for global mRNA binding, other tested residues in the N-terminal domain have minor to moderate effects on mRNA binding, indicating that different mRNAs likely depend on different ProQ residues for binding. Finally, our data reveal that the expressed sRNA substrates have limited impacts on the fraction of mRNA-associated ProQ, likely due to the high abundance of mRNA-free ProQ inside the cell.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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 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 routes2
Has abstractyes

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