Accumulation of Diacylglycerol in the Chlamydia Inclusion Vacuole
Bibliographic record
Abstract
Intracellular pathogens have developed strategies to survive for extended periods inside their host cells. These include avoidance of host microbicidal effectors, often by sequestration in a protected subcompartment of the host cell. In some cases, the parasites exert also an antiapoptotic effect that prolongs the life of the infected host cell. Chlamydia utilizes both strategies, but the underlying molecular mechanisms are incompletely understood. Comparatively, little is known regarding the effects that Chlamydia exerts on the metabolism and distribution of the host cell lipids. The expression of fluorescently tagged C1 domains revealed that diacylglycerol is greatly accumulated in the immediate vicinity of Chlamydia inclusion vacuoles. The concentrated diacylglycerol recruits protein kinase Cdelta (PKCdelta), a proapoptotic effector, to the immediate vicinity of the vacuole. PKCdelta normally exerts its pro-apoptotic effects at the mitochondria and in the nucleus. We speculate that Chlamydia antagonizes the pro-apoptotic effect of PKCdelta by sequestering the enzyme on the inclusion vacuole away from its conventional target sites. Accordingly, we found that the ectopic expression of a catalytic fragment of PKCdelta that cannot be recruited by the vacuole, because it lacks a functional C1 domain, overcame the anti-apoptotic effect of the bacteria. The scavenging of pro-apoptotic factors may provide a novel mechanism whereby pathogens promote their own survival by extending the life of the host cells they infect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".