Characterization of the activity-dependent development of IPSC-derived neurons from Fragile X patients
Bibliographic record
Abstract
Fragile X syndrome is a form of syndromic autism whose genetic causes have been relatively well uncovered. It is actually mainly caused by a CGG triplet expansion in the 5’ UTR sequence of FMR1 gene, affecting mostly men. FMR1 encodes a mRNA binding protein which is involved in the regulation of local translation at the synaptic level. The mechanisms leading from such gene mutations to a neurodevelopmental disorder still need to be investigated. While several studies have shown that the neuronal development is driven by cellular activity and connectivity, we aim to further investigate the effect of FMR1 repression on the neuronal activity taking advantage of IPSC-derived neurons from patient’s cells. IPSC-derived neurons will be investigated through calcium imaging to characterized their pattern of spontaneous activities, as well as their capability to respond to neurotransmitter through extra-synaptic receptors. A multielectrode array approach is going to be used to analyse the overall network activities. Those studies should provide further information on the impairment of activity-dependent neuronal development in Fragile X syndrome.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".