Heterogeneity In Two-Component Signaling Systems Within Different Strains Of Inflammatory Bowel Disease Associated Escherichia Coli
Bibliographic record
Abstract
Resistance to host-defense peptides is a critical feature of many pathogens. Previous work in the McPhee lab has demonstrated that different strains of inflammatory bowel disease-associated Escherichia coli exhibit diverse resistance to host defense peptides. The PhoPQ two-component system is a well-characterized signaling pathway that regulates the expression of genes involved in resistance to these peptides. We hypothesize that strains have an altered capacity to signal through this system, resulting in different resistance profiles. We created a promoter-GFP fusion of two PhoPQ regulated genes, pmrD and ompT, to monitor PhoPQ signaling in eight clinical isolates. Our data shows that strains have robust differences in signaling when cultured identical conditions, supporting our hypothesis. Further, our signaling match polymyxin B resistance when using the same isolates and conditions. Our data strongly suggests that strains have an altered potential to respond to environmental signals, ultimately resulting in a broad level of resistance phenotypes.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
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.
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".