Ability of Wild-Type and Mutant Lysyl-tRNA Synthetase To Facilitate tRNA <sup>Lys</sup> Incorporation into Human Immunodeficiency Virus Type 1
Bibliographic record
Abstract
The major human tRNA(Lys) isoacceptors, tRNA1,2Lys and tRNA3Lys, are selectively packaged into human immunodeficiency virus type 1 (HIV-1) during assembly, where tRNA3Lys acts as a primer for reverse transcription. Lysyl-tRNA synthetase (LysRS) is also incorporated into HIV-1, independently of tRNA(Lys), via its interaction with Gag, and it is a strong candidate for being the signal that specifically targets tRNA(Lys) for viral incorporation. Expression of exogenous wild-type LysRS in cells results in an approximately twofold increase in the viral packaging of both LysRS and tRNA(Lys). Herein, we show that this increase in tRNA(Lys) incorporation into virions is dependent upon the ability of LysRS to bind to tRNA(Lys) but not upon its ability to aminoacylate the tRNA(Lys). COS7 cells were cotransfected with plasmids coding for both HIV-1 and either wild-type or mutant human LysRS, all of which are incorporated into virions with similar efficiency. However, N-terminally truncated LysRS, which binds poorly to tRNA(Lys), does not increase tRNA(Lys) packaging into viruses, while C-terminally truncated LysRS, which binds to but does not aminoacylate tRNA(Lys), still facilitates an increase in tRNA(Lys) packaging into virions.
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 | 0.001 |
| 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".