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Record W4404727663 · doi:10.1016/j.omtn.2024.102401

Precise template-free correction restores gene function in Tay-Sachs disease while reframing is ineffective

2024· article· en· W4404727663 on OpenAlexafffund
Reid A. Brewer, Lujaina Elbakr, Antonio Mollica, Georgiana Forguson, Wing Suen Chan, Evgueni A. Ivakine

Bibliographic record

VenueMolecular Therapy — Nucleic Acids · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersSickkids Research InstituteCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsFrameshift mutationCognitive reframingGeneGeneticsFunction (biology)MutationBiologyPsychology

Abstract

fetched live from OpenAlex

expression by frameshift. In an engineered cell model, we explore the use of CRISPR-Cas9 for therapeutic editing of c.1278insTATC. Within genomic microduplications, the microhomology-mediated end joining (MMEJ) pathway is favored to repair double-stranded breaks with collateral deletion of one repeat. Protospacer adjacent motif (PAM) constraints on Cas9 endonuclease activity prevented cleavage at the duplication center, the optimal position for MMEJ initiation. Rather, cleavage 1 bp from the c.1278insTATC duplication center spontaneously reconstructed the wild-type sequence at ∼14.7% frequency, with concomitant restoration of normal cellular HexA activity. As an alternative to perfect correction, short insertions or deletions were serially introduced to restore an open reading frame across a 19-bp sequence encompassing c.1278insTATC. Frame-restored variants did not recover significant HexA function, presumably due to structural incompatibility of incurred amino acid insertions. Hence, precise correction of c.1278insTATC is the only therapeutically relevant outcome achieved in this study, with MMEJ highlighted as a potential template-free CRISPR-Cas9 modality to that end.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.263
Teacher spread0.257 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

Explore more

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