The Cpx Envelope Stress Response Regulates and Is Regulated by Small Noncoding RNAs
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".