Arrested maturation of<i>Neisseria</i>-containing phagosomes in the absence of the lysosome-associated membrane proteins, LAMP-1 and LAMP-2
Bibliographic record
Abstract
Mature, microbicidal phagosomes are rich in the lysosome-associated membrane proteins, LAMP-1 and LAMP-2, two highly glycosylated proteins presumed to form a protective barrier lining the phagosomal membrane. Pathogenic Neisseria secrete a protease that selectively cleaves LAMP-1, suggesting a critical role for LAMP proteins in the microbicidal competence of phagosomes. To determine the requirement for LAMP proteins in bacterial phagocytosis, we employed embryonic fibroblasts isolated from knockout mice lacking lamp-1, lamp-2 or both genes, as well as small interfering RNA (siRNA)-mediated knockdown of LAMP expression in a human epithelial cell line. Like wild-type cells, those lacking either LAMP-1 or LAMP-2 alone formed phagosomes that gradually acquired microbicidal activity and curtailed bacterial growth. In contrast, LAMP-1 and LAMP-2 double-deficient fibroblasts failed to kill engulfed Neisseria gonorrhoeae. In these cells, maturation was arrested prior to the acquisition of Rab7. As a result, the Rab7-interacting lysosomal protein (RILP, a Rab7 effector) was not recruited to the phagosomes, which were consequently unable to undergo dynein/dynactin-mediated centripetal displacement along microtubules and remained in a predominantly peripheral location. The inability of such phagosomes to migrate towards lysosomes likely contributed to their incomplete maturation and inability to eliminate bacteria. These findings suggest that neisserial degradation of LAMP-1 is not sufficient to affect its survival within the phagosome, and establish LAMP proteins as critical components in the process whereby phagosomes acquire microbicidal capabilities.
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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".