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Record W2094365483 · doi:10.1128/jb.02138-14

The Cpx Envelope Stress Response Regulates and Is Regulated by Small Noncoding RNAs

2014· article· en· W2094365483 on OpenAlexafffund
Stefanie Vogt, Alex Evans, Randi L. Guest, Tracy Raivio

Bibliographic record

VenueJournal of Bacteriology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsBiologyFight-or-flight responseLong non-coding RNAGeneticsCell biologyEnvelope (radar)Small nucleolar RNARNAGene

Abstract

fetched live from OpenAlex

The Escherichia coli genome encodes approximately 30 two-component systems that are required for sensing and responding to a variety of environmental and physiological cues. Recent studies have revealed numerous regulatory connections between two-component systems and small noncoding RNAs (sRNAs), which posttranscriptionally regulate gene expression by base pairing with target mRNAs. In this study, we investigated the role of sRNAs in the CpxAR two-component system, which detects and mediates an adaptive response to potentially lethal protein misfolding in the Gram-negative bacterial envelope. Here, we showed for the first time that sRNAs are members of the Cpx regulon. We found that CpxR binds to the promoter regions and regulates expression of two sRNA genes, cyaR and rprA. We also investigated the roles that these sRNAs play in the Cpx response. Cpx repression of cyaR expression creates a feed-forward loop, in which CpxAR increases expression of the inner membrane protein YqaE both directly at the transcriptional level and indirectly at the translational level. Moreover, we found that RprA exerts negative feedback on the Cpx response, reducing Cpx activity in a manner that is dependent on the response regulator CpxR but independent of all of RprA's previously described targets. sRNAs therefore permit the fine-tuning of Cpx pathway activity and its regulation of target genes, which could assist bacterial survival in the face of envelope stress.

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)0.001
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 score0.313
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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

Citations47
Published2014
Admission routes2
Has abstractyes

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