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Record W2119819241 · doi:10.1111/mmi.12961

<scp>H</scp>fq binds directly to the ribosome‐binding site of <scp>IS</scp><i>10</i> transposase m<scp>RNA</scp> to inhibit translation

2015· article· en· W2119819241 on OpenAlexafffund
Michael J. Ellis, Ryan S. Trussler, David B. Haniford

Bibliographic record

VenueMolecular Microbiology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsBiologyTransposaseRibosomal binding siteTranslation (biology)RibosomeRNA-binding proteinRNACell biologyBinding siteMessenger RNAMolecular biologyBiochemistryGeneTransposable element

Abstract

fetched live from OpenAlex

Hfq is a critical component of post-transcriptional regulatory networks in most bacteria. It usually functions as a chaperone for base-pairing small RNAs, although non-canonical regulatory roles are continually emerging. We have previously shown that Hfq represses IS10/Tn10 transposase expression through both antisense RNA-dependent and independent mechanisms. In the current work, we set out to define the regulatory role of Hfq in the absence of the IS10 antisense RNA. We show here that an interaction between the distal surface of Hfq and the ribosome-binding site of transposase mRNA (RNA-IN) is required for repressing translation initiation. Additionally, this interaction was critical for the in vivo association of Hfq and RNA-IN. Finally, we present evidence that the small RNA ChiX activates transposase expression by titrating Hfq away from RNA-IN. The current results are considered in the broader context of Hfq biology and implications for Hfq titration by ChiX are discussed.

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 score0.004
Threshold uncertainty score0.013

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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

Citations68
Published2015
Admission routes2
Has abstractyes

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