Cytoskeleton rearrangements during <i>Listeria</i> infection: Clathrin and septins as new players in the game
Bibliographic record
Abstract
The study of an infection process can reveal how microbes exploit the host, and can illuminate unknown host cellular functions. Invasive pathogens have evolved efficient strategies to promote their internalization within normally non-phagocytic host cells. The so-called "zippering" bacteria present to host cell receptors molecules that mimic endogenous ligands, thereby inducing specific intracellular signaling cascades ultimately resulting in actin polymerization and uptake. Here we review how the bacterial pathogen Listeria monocytogenes enters into cells, and present a series of studies revealing that in addition to actin rearrangements this bacterium exploits the clathrin-mediated endocytosis machinery together with septins, a novel cytoskeleton element. The challenge is now to decipher how all of these components orchestrate themselves to permit entry into normally non-phagocytic 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".