Characterization of two bacterial proteins (ArlA and ArlB) associated with resistance to host defense peptides
Bibliographic record
Abstract
Inflammatory bowel disease is a complex condition with a multifactorial etiology. An interplay of various factors can lead to an inflamed gut with the overproduction of host-defense peptides (HDPs) and microbiome alterations, such as increases in pathogenic bacteria. Through processes involving either core gene regulation or acquisition of new genes, bacteria have evolved mechanisms to resist HDPs. Previously, a novel genetic locus, arlABC, was identified in adherent-invasive Escherichia coli (AIEC) strain NRG857c that contributes to high-level HDP resistance. ArlC is an outer membrane protease, but the function(s) of ArlA and ArlB are unknown. Thus, characterization was performed on strains mutated in these genes. Lipopolysaccharide gels suggest a change in the core structure of the mutant strains, but several phenotypic assays gave varying results. We demonstrate that the ArlB protein is regulated by the PhoPQ two-component system. We anticipate that these investigations will lead to a better understanding of HDP resistance in AIEC.
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 | 0.000 |
| 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 | 0.000 | 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".