Protein Kinase D‐Dependent Trafficking of the Large Herpes simplex Virus Type 1 Capsids from the TGN to Plasma Membrane
Bibliographic record
Abstract
The biosynthetic pathway carries cargos from the endoplasmic reticulum (ER) to the trans Golgi network (TGN) via a typical passage through the Golgi. Interestingly, large particles such as procollagen, chylomicrons and some viruses all reach the TGN by atypical routes. Given this dichotomy, we anticipated that such cargos might rely on non-classical machineries downstream of the TGN. Using Herpes simplex virus type 1 (HSV-1) as a model and a synchronized infection protocol that focuses on TGN to plasma membrane transport, the present study revealed the surprising implication of the cellular serine-threonine protein kinase D in HSV-1 egress. These findings, confirmed by a variety of complementary means [pharmacological inhibitors, dominant negative mutant, RNA interference and electron microscopy (EM)], identify one of possibly several cellular factors that modulate the egress of viruses transiting at the TGN. Moreover, the involvement of this kinase, previously known to regulate the transport of small basolateral cargos, highlights the trafficking of both small and exceptionally large entities by a common machinery downstream of the TGN, in sharp contrast to earlier steps of transport. Conceptually, this indicates the TGN is not only a sorting station from which cargos can depart towards different destinations but also a meeting point where conventional and unconventional routes can meet along the biosynthetic pathway. Lastly, given the apical release of HSV-1 in neurons, it opens up the possibility that this kinase might regulate some apical sorting.
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".