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Record W4407679695 · doi:10.1089/hum.2024.170

Minimally Humanized <i>Ezh2</i> Exon-18 Mouse Cell Lines Validate Preclinical CRISPR/Cas9 Approach to Treat Weaver Syndrome

2025· article· en· W4407679695 on OpenAlexaff
William T. Gibson, Tess C. Lengyell, Andrea J. Korecki, Sanne Janssen, B. Adair, Daniel Gamu, Matthew C. Lorincz, Elizabeth M. Simpson

Bibliographic record

VenueHuman Gene Therapy · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsCRISPRHumanized mouseExonCas9Gene knockinGenome editingBiologyCancer researchMedicineGeneticsGene

Abstract

fetched live from OpenAlex

Weaver syndrome is a rare neurodevelopmental disorder that encompasses macrocephaly, tall stature, obesity, brain anomalies, intellectual disability, and increased susceptibility to cancer. This dominant monogenic disorder is caused by germline variants in enhancer of zeste 2 polycomb repressive complex 2 subunit ( EZH2 ), a key epigenetic writer. Unfortunately, there are no effective treatments for Weaver syndrome. However, preclinical results support the potential for therapeutic gains, despite the prenatal onset. Thus, for the first time, we tested whether CRISPR/Cas9 gene-editing strategies may be able to “correct” a Weaver syndrome variant at the DNA level. We initiated these preclinical studies by humanizing the region surrounding the most-common recurring patient-variant location in mouse embryonic stem cells (ESCs). Humanization ensures that DNA-binding strategies will be directly translatable to human cells and patients. We then introduced into ESCs the humanized region, but now carrying the Weaver syndrome EZH2 variant c.2035C>T p.Arg684Cys, and characterized the enzymatic properties of this missense variant. Our data showed a significant and dramatic reduction in EZH2-enzymatic activity, supporting previous cell-free studies of this variant as well as in vitro and in vivo mouse work by other teams. Intriguingly, this most-common variant does not create a complete loss-of-function, but rather is a hypomorphic allele. Together with prior reports describing hypomorphic effects of missense EZH2 variants, these results demonstrate that the etiology of Weaver syndrome does not require complete loss of EZH2 enzymatic activity. Toward therapy, we tested four CRISPR gene-editing strategies. We demonstrated that Streptococcus pyogenes Cas9 ( Sp Cas9) showed the highest variant correction (70.5%), but unfortunately also the highest alteration of the nonvariant allele (21.1–26.2%), an important consideration for gene-editing treatment of a dominant syndrome. However, Staphylococcus aureus Cas9 ( Sa Cas9) gave a variant correction (52.5%) that was not significantly different than Sp Cas9, and encouragingly the lowest alteration of the nonvariant allele (2.0%). Thus, the therapeutic strategy using the small Sa Cas9 enzyme, a size that allows flexibility in therapeutic delivery, was the most optimal for targeting the Weaver syndrome EZH2 variant c.2035C>T p.Arg684Cys.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.031
GPT teacher head0.347
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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