role of stathmin microtubule-destabilizing activity in Shigella flexneri motility and tunneling
Bibliographic record
Abstract
The infection of the intestinal mucosa by Shigella bacteria is a global health issue resulting in a variety of potentially life-threatening gastrointestinal complications. Their unique method of intracellular motility depends on microtubule destabilization to clear the dense host cytoskeletal network in a process called tunneling. It is hypothesized that the host protein stathmin may play a role in this process, due to its tubulin-sequestering capability. This proposal aims to provide potential methodologies to elucidate the function of stathmin with respect to Shigella flexneri motility. Three experiments are proposed, involving comparisons between human intestinal epithelial cell strains under varying levels of stathmin expression, each infected with S. flexneri. Respectively, the experiments examine tunnel widths via electron microscopy, microtubule densities via imaging fluorescence correlation spectroscopy, and bacterial movement patterns via live fluorescence microscopy. If microtubule destabilization and movement is impaired in null stathmin strains, as predicted, such findings may inform a novel therapeutic target for Shigellosis by preventing internal spreading. This is particularly significant in our current landscape, as antibiotic-resistant strains of Shigella are growing increasingly prevalent.
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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 | 0.000 |
| 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".