Analysis of SM22 at Enteropathogenic <i>Escherichia coli</i> Induced Pedestals
Bibliographic record
Abstract
Disease caused by enteropathogenic Escherichia coli (EPEC) is initiated when these extracellular bacteria attach onto host epithelial cells and secrete disease‐causing proteins to control the host cell machinery. Morphological actin‐rich structures, called pedestals, are formed within the host cells at sites of bacterial attachment. These structures are needed for disease to occur and are known to confer motility to the bacteria, enabling the microbes to “surf” atop the infected cells. SM22 is an actin‐associated protein that stabilizes cellular actin filament bundles. To further characterize the protein make‐up of pedestals and understand the functions of those proteins in the infectious process, we hypothesized that SM22 would be present at EPEC pedestals and would play a crucial role in forming or stabilizing these actin‐rich structures. To test this hypothesis, we immunolocalized SM22 in EPEC‐infected HeLa cells and found that SM22 localized along the entire length of the pedestals. To determine the functional role of SM22, we knocked‐down protein levels of SM22 using small interfering RNA. On cells with reduced or undetectable levels of SM22, significantly less pedestals were observed. Our data demonstrates that SM22 contributes to the formation or stability of EPEC‐induced pedestals and provides a novel target for the development of future therapeutics This study was funded through NSERC.
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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".