Neurodevelopmental consequences of Smn depletion in a mouse model of spinal muscular atrophy
Bibliographic record
Abstract
Deletions or mutations in survival of motor neuron 1 (SMN1) cause motor neuron loss and spinal muscular atrophy (SMA), a neuromuscular disorder, with the most severe type manifesting in utero. Whether SMA is a disease of defects in neurodevelopment and/or neuromaintenance remains unclear. We performed an analysis of Smn gene and protein expression during murine embryogenesis. Furthermore, we examined Smn(-/-);SMN2 mice, a model of very severe SMA, for developmental, morphological, and molecular abnormalities. We demonstrate that Smn transcript levels are regulated in a tissue- and developmental stage-specific manner and that the Smn protein expression pattern generally followed that of the Smn mRNA. Cell death and pathological foci were observed in E10.5 Smn-depleted embryos, and this increased in the telencephalon at E14.5. Furthermore, we show an altered morphology of cranial nerves as well as truncated lumbar spinal nerves in a subset of E10.5 Smn(-/-);SMN2 embryos. Finally, we compared the splicing of a subset of genes shown recently to be aberrantly spliced in phenotypic-stage SMA mice. Changes in alternative splicing of the Slc38a5 and Uspl1 genes were detectable in prephenotypic-stage embryos and neonates but became more pronounced with the severity of the phenotype. By comparison, Hif3a alternative splicing was affected only at the end stage of disease. This result suggests that alterations in mRNA splicing in SMA occur, in part, as a result of disease progression. Overall, we conclude that Smn depletion affects developmental processes, which ultimately may also contribute to SMA pathogenesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".