Binding and invasion of HeLa and MRC-5 cells by Streptococcus agalactiae
Bibliographic record
Abstract
The interactions of group B streptococci (GBS) with HeLa cells (an epithelial cell line) and MRC-5 cells (a fibroblastic cell line) were explored. A host-cell invasion assay using GBS strains from all serotypes revealed that GBS invaded HeLa cells to a greater extent than MRC-5 cells. One strain, a serotype V (NCS13), was highly invasive against HeLa cells. All strains were poorly invasive against MRC-5 cells. Further characterization of the binding of NCS13 to HeLa and MRC-5 cell surfaces showed that the lack of recoverable c.f.u. from MRC-5 cells was due to a lack of binding of NCS13 to the MRC-5 cell surface in comparison to HeLa cells. Although fibronectin had been reported to bind to GBS, fibronectin assays showed 2.7-fold more fibronectin on the MRC-5 cell surface in comparison to HeLa cells, suggesting that other extracellular matrix proteins besides fibronectin may be involved in GBS binding. Scanning electron microscopy of NCS13 and HeLa cells over a 6 h time period showed increased numbers of NCS13 on the HeLa cell surface over time until cell death at 6 h. Direct contact of the HeLa cell surface by NCS13 was found to be necessary for cell death to occur. Further scanning electron microscopy studies found that, once GBS are bound to the HeLa cell surface, HeLa cell microvilli entwine the bacteria, which then enter the HeLa cell in a polar fashion. Cytoskeletal actin is involved, as this process is disrupted by cytochalasin D, and recruitment of actin is visible at the site of adherent chains of GBS. Also, the host-cell signalling enzyme, PI 3-kinase, is involved in the GBS internalization process, since the PI 3-kinase inhibitor, wortmannin, inhibited NCS13 invasion of HeLa cells in a dose-dependent manner.
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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) | 0.001 | 0.001 |
| 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) | 0.002 | 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".