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Record W2981778203 · doi:10.1002/biot.201900286

Adeno‐Associated Viral Vectors for Homology‐Directed Generation of CAR‐T Cells

2019· review· en· W2981778203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiotechnology Journal · 2019
Typereview
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHomology (biology)Computational biologyVirologyBiologyGeneticsCell biologyGene

Abstract

fetched live from OpenAlex

Immunotherapy with T cells expressing chimeric antigen receptors (CAR) is an emerging and promising treatment against refractory cancers. However, the currently adopted methods of modification of T cells pose a risk of insertional oncogenesis because lentiviral and retroviral vectors integrate the CAR transgene in a semi-random fashion. In addition, this therapy is only available using autologous cells, which create problems in production and limit the access for patients who have their T cells depleted. One modification method that shows the ability to overcome both drawbacks is the knock-in of the CAR simultaneously knocking-out genes that prevent allogeneic therapy, such as the endogenous T cell receptor. In this mini-review, the authors present recent efforts to develop safer universal CAR-T cells. More specifically, the combined application of target-directed nucleases, which create a double-strand break at a specific genome locus, and the delivery of CAR DNA via adeno-associated viral vectors for subsequent integration via homologous recombination and silencing of the targeted gene is focused on.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.104
GPT teacher head0.376
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it