Neurodevelopmental defects resulting from ATRX overexpression in transgenic mice
Bibliographic record
Abstract
Several X-linked mental retardation syndromes are caused by mutations in the ATRX gene. Common clinical features associated with ATRX mutations include severe mental retardation, characteristic facial anomalies and variable degrees of urogenital defects and alpha-thalassemia. Although the ATRX protein is a member of the SWI/SNF family of chromatin remodeling proteins, little is known about the biochemical activity of the ATRX protein or its in vivo function during development. Here we demonstrate that ATRX is part of a large multiprotein complex similar in size to the SWI/SNF complex. Furthermore, we have generated transgenic mice that overexpress ATRX as an initial model for studying the function of this protein during development. Misexpression of ATRX was associated with growth retardation, neural tube defects and a high incidence of embryonic death. Moreover, brains from E10.5 transgenic embryos displayed abnormal growth and organization of the ventricular zone that was highly convoluted in the most severely affected embryos. Transgenic mice that survived to birth exhibited a high incidence of perinatal death, as well as seizures, mild craniofacial anomalies and abnormal behavior. Our findings indicate that ATRX dosage is crucial for normal development and organization of the cortex, and emphasize the relevance of our model for the study of ATRX function and disease 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".