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Record W2914152077 · doi:10.1073/pnas.1811589116

SraL sRNA interaction regulates the terminator by preventing premature transcription termination of <i>rho</i> mRNA

2019· article· en· W2914152077 on OpenAlexaff
Inês J. Silva, Susana Barahona, Alex Eyraud, David Lalaouna, Nara Figueroa‐Bossi, Éric Massé, Cecília M. Arraiano

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsTerminator (solar)Transcription (linguistics)Termination factorBiologyMessenger RNARNABase pairCell biologyRNA polymeraseMolecular biologyGeneGeneticsPhysics

Abstract

fetched live from OpenAlex

Transcription termination is a critical step in the control of gene expression. One of the major termination mechanisms is mediated by Rho factor that dissociates the complex mRNA-DNA-RNA polymerase upon binding with RNA polymerase. Rho promotes termination at the end of operons, but it can also terminate transcription within leader regions, performing regulatory functions and avoiding pervasive transcription. Transcription of rho is autoregulated through a Rho-dependent attenuation in the leader region of the transcript. In this study, we have included an additional player in this pathway. By performing MS2-affinity purification coupled with RNA sequencing (MAPS), rho transcript was shown to directly interact with the small noncoding RNA SraL. Using bioinformatic in vivo and in vitro experimental analyses, SraL was shown to base pair with the 5′-UTR of rho mRNA upregulating its expression in several growth conditions. This base pairing was shown to prevent the action of Rho over its own message. Moreover, the results obtained indicate that both ProQ and Hfq are associated with this regulation. We propose a model that contemplates the action of Salmonella SraL sRNA in the protection of rho mRNA from premature transcription termination by Rho. Note that since the interaction region between both RNAs corresponds to a very-well-conserved sequence, it is plausible to admit that this regulation also occurs in other enterobacteria.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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 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 score0.008
Threshold uncertainty score0.178

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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

Labeled directly by 2 models reading the full record.

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

Citations50
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicBacterial Genetics and BiotechnologyFrench-language works237,207