InlB‐mediated <i>Listeria monocytogenes</i> internalization requires a balanced phospholipase D activity maintained through phospho‐cofilin
Bibliographic record
Abstract
Internalization of Listeria monocytogenes into non-phagocytic cells is tightly controlled by host cell actin dynamics and cell membrane alterations. However, knowledge about the impact of phosphatidylcholine cleavage driven by host cell phospholipase D (PLD) on Listeria internalization into epithelial cells is limited. Here, we report that L. monocytogenes activates PLD in Vero cells during the internalization. With immunostaining it was shown that both PLD1 and PLD2 surrounded partially or completely the phagocytic cup of most L. monocytogenes. Either up- or down-regulation of PLD expression (activity) diminished Listeria internalization. Both PLD1 and PLD2 in Vero cells were required for efficient Listeria internalization, and could substitute for each other in the regulation of Listeria internalization. Further, exogenous InlB activated host cell PLD1 and PLD2 via the Met receptor, and restored host PLD activation by InlB-deficient L. monocytogenes. InlB-induced PLD activation and Listeria internalization were tightly controlled by phospho-cycling of cofilin. PLD1, but not PLD2, was involved in cofilin-mediated PLD activation and Listeria internalization. These data indicate that cofilin-dependent PLD activation induced by InlB may represent a novel regulation mechanism for efficient Listeria internalization into epithelial cells.
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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 | 0.001 | 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".