Srcap loss alters H2A.Z-dependent and neuronal differentiation-related gene expression in N2A cells
Bibliographic record
Abstract
The chromatin remodeler SRCAP plays a critical role in depositing the histone variant H2A.Z, which is essential for transcriptional regulation, chromatin accessibility, and neurodevelopmental processes. Despite its known importance, the mechanisms by which SRCAP regulates H2A.Z dynamics during neuronal differentiation remain poorly understood. Here, we investigated the impact of Srcap knockdown on H2A.Z incorporation and transcriptional regulation in N2A cells. Chromatin immunoprecipitation revealed reduced H2A.Z occupancy at activity-dependent and neurodevelopmental genes upon Srcap knockdown, confirming Srcap's role in H2A.Z deposition. Interestingly, CBP recruitment and global histone H3 acetylation were unaffected by Srcap knockdown at steady-state conditions, suggesting an H2A.Z-specific function of Srcap. We also observed that retinoic acid-induced neuronal differentiation leads to dynamic changes in H2A.Z levels at developmental loci, which are disrupted in Srcap-deficient cells. Gene expression analysis revealed altered expression of neurodevelopmental genes in the absence of Srcap, correlating with reduced H2A.Z occupancy. Together, these findings demonstrate that Srcap is essential for regulating H2A.Z dynamics and gene expression during neuronal differentiation, offering new insights into its role in chromatin remodelling and its potential involvement in neurodevelopmental disorders.
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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".