TOOLS FOR IDENTIFYING FUNCTIONS OF TYPE III SECRETION SYSTEM EFFECTORS FROM SHIGELLA FLEXNERI
Bibliographic record
Abstract
Shigellae are pathogenic bacteria that cause the disease shigellosis. Two methods for studying secreted effectors encoded by this pathogen’s virulence plasmid are described.\nFirst, protein microarrays were used to identify substrates of an E3 ubiquitin ligase called IpaH7.8. Second, a deletion collection containing mutants for every gene on the virulence plasmid was used in two screens: one to identify mutants that elicit atypical levels of Interleukin-8 (IL-8) from U937 cells, and one to identify mutants that bind the dye Congo red abnormally. \nAlthough protein microarrays were an ineffective tool, the deletion collection proved valuable. Most mutants were less effective at sequestering Congo red than wild-type S. flexneri, although this ability was enhanced in several mutants. Four mutants, ?ospB, ?orf186, ?mxiH and ?mxiK, elicited higher levels of IL-8 from U937 cells than wild type S. flexneri. These results validate the use of the deletion collection as a tool for studying bacterial pathogenesis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".