Regulation of<i>Salmonella</i>-induced membrane ruffling by SipA differs in strains lacking other effectors
Bibliographic record
Abstract
The Salmonella pathogenicity island 1 (SPI-1) type three secretion system (TTSS) is essential for Salmonella invasion of host cells through its triggering of actin-dependent membrane ruffles. The SPI-1 effectors SipA, SopE, SopE2 and SopB all have actin regulating activities and contribute to invasion. The precise role of actin regulation by SipA in Salmonella invasion remains controversial since divergent data have been presented regarding the relationship between SipA and membrane ruffling. We hypothesized that the contribution of SipA to membrane ruffling and invasion might vary between Salmonella strains. We compared the effects of SipA deletion on Salmonella enterica serovar Typhimurium (S. Typhimurium) strains that possess or lack SopE. Loss of SipA reduced invasion in the early stages of infection by SopE(+) and SopE(-) strains but the number of membrane ruffles elicited was unaffected. Salmonella strains lacking both SipA and SopE induced ruffles with very different morphology from those induced by wild-type strains or ones lacking single effectors, including the presence of highly dynamic finger-like protrusions and numerous filopodia. A similar phenotype was found for sipA(-)sopE(-), sipA(-)sopE2(-) and sipA(-)sopB(-) mutants. Thus, SipA plays a more prominent role in induction of invasion-competent membrane ruffles by Salmonella lacking a full complement of SPI-1 effectors.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".