Generation of mice with combined <i>Hexa</i> Gly269Ser KI or KO and <i>Neu3</i> KO alleles to create new models of GM2 gangliosidoses
Why this work is in the frame
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Bibliographic record
Abstract
The GM2 gangliosidoses are lysosomal storage disorders exhibiting a spectrum of neurological phenotypes ranging from childhood death to debilitating adult-onset neurological impairment. To date, no mouse model harbouring a specific human mutation causing GM2 gangliosidosis has been created. We used CRISPR/Cas9 to generate knockin (KI) mice with the common adult-onset Hexa Gly269Ser variant as well as knockout (KO) mice with Hexa mutations expected to cause complete HexA deficiency. We also created Neu3 KO alleles that combined with Hexa KO or KI alleles were expected to create acute and chronic models of GM2 gangliosidosis, respectively. However, both models accumulated GM2 ganglioside throughout the brain when compared to controls (CON), and exhibited progressive loss of reflexes, gait abnormalities, and premature death by 24 weeks of age. Although survival and behavioural phenotypes did not differ between KO and KI models, the KI model had substantial Hexa mRNA and evidence of GM2 turnover. This KI model will be useful for developing gene editing to correct the variant causing the Gly269Ser substitution and its novel biochemical phenotype suggests it may be suitable for testing therapies that treat partial β-hexosaminidase A deficiency.
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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) | 0.000 | 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 it