The Hsp60 Chaperonin of<i>Legionella pneumophila</i>: an Intriguing Player in Infection of Host Cells
Bibliographic record
Abstract
This chapter reports that through genetic and functional studies in yeast and mammalian cells, the authors have demonstrates that Legionella pneumophila Hsp60 alters signaling cascades in eukaryotic cells, modifies the actin cytoskeleton of mammalian cells, and alters the trafficking of mitochondria in mammalian cells, making Hsp60 a potential effector in L. pneumophila‘s intracellular establishment. The authors determined that dotA and dotB mutant derivatives of Lp02 had virtually no protease-accessible HtpB; i.e., these mutants displayed no surface-exposed HtpB. In addition, immunogold electron microscopy, performed with an HtpB-specific rabbit antiserum and a secondary gold-conjugated antibody against rabbit immunoglobulin, showed that the Lp02 dot mutants, particularly the dotB mutant, had an increased amount of periplasmic gold particles. This interesting result suggested that a nonfunctional Dot/Icm system results in the accumulation of HtpB in the periplasm. Recombinant HtpB caused Chinese hamster ovary (CHO) cells to lose their stress fibers. The abilities of HtpB to specifically alter eukaryotic signaling pathways, cytoskeletal organization, and organellar traffic are indeed functional characteristics that fit well into HtpB's potential role as an L. pneumophila virulence effector.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".