A Modular Set of Helper-Dependent Herpes Simplex Virus Expression Vectors
Bibliographic record
Abstract
Herpes simplex virus (HSV) has many favorable properties in terms of its potential to serve as a delivery and expression platform for gene-based therapies, including the ability to establish persistent infections, a broad tissue tropism, episomal maintenance of transduced genes, and a large genome that can incorporate many additional cDNAs. Helper-dependent HSV vectors (commonly known as HSV amplicons) are well positioned to exploit the biology of the virus, since they contain only the two cis elements required for HSV replication and packaging and thus do not require the silencing of any viral genes to prevent toxicity to transduced cells over the course of cDNA expression. In this report we describe the development of a set of modular HSV amplicon vectors that can easily be modified to incorporate different genetic elements or alternatively can be used to retrofit existing expression constructs such that they can be packaged into infectious HSV particles. Herpes simplex virus (HSV) has many favorable properties in terms of its potential to serve as a delivery and expression platform for gene-based therapies, including the ability to establish persistent infections, a broad tissue tropism, episomal maintenance of transduced genes, and a large genome that can incorporate many additional cDNAs. Helper-dependent HSV vectors (commonly known as HSV amplicons) are well positioned to exploit the biology of the virus, since they contain only the two cis elements required for HSV replication and packaging and thus do not require the silencing of any viral genes to prevent toxicity to transduced cells over the course of cDNA expression. In this report we describe the development of a set of modular HSV amplicon vectors that can easily be modified to incorporate different genetic elements or alternatively can be used to retrofit existing expression constructs such that they can be packaged into infectious HSV particles.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 teacher head, 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".