The PBAF chromatin remodeling complex contributes to metal homeostasis through MTF1 regulation
Bibliographic record
Abstract
ABSTRACT SWI/SNF chromatin remodeling complexes regulate gene expression by modulating nucleosome positioning, yet their roles in metal homeostasis during skeletal muscle development remain unclear. Here, we uncover distinct functions of the BAF, PBAF, and ncBAF complexes in myoblast proliferation under metal stress. While knockdown (KD) of Baf250a (BAF-specific) or Brd9 (ncBAF-specific) reduces myoblast proliferation, Baf180 (PBAF-specific) KD does not impair cell proliferation under basal conditions. Interestingly, supplementation with copper (Cu) or zinc (Zn) rescues proliferation in Baf250a - and Brd9 -deficient myoblasts but paradoxically inhibits growth in Baf180 KD cells. Mechanistically, Baf180 KD disrupts Cu and Zn homeostasis, leading to intracellular Cu accumulation without labile Cu⁺ pools and impaired expression of Atp7a , a key Cu exporter. Transcriptomic analyses reveal widespread gene dysregulation in metal-treated Baf180 -deficient cells, while metal supplementation promotes pro-proliferative gene expression in Baf250a - and Brd9 -KD myoblasts. CUT&RUN assays demonstrate that metal-responsive transcription factor Mtf1 exhibits increased chromatin binding upon Cu treatment, targeting genes involved in stress response and myogenesis. Notably, Mtf1 colocalizes with Baf180 in the nucleus and co-immunoprecipitates with both conserved SWI/SNF subunits and Baf180, suggesting a functional interplay between PBAF and Mtf1 in regulating metal-dependent gene expression. Our findings establish the PBAF complex as a crucial regulator of Cu/Zn homeostasis in myoblast proliferation via Mtf1, while metal supplementation compensates for BAF and ncBAF dysfunction but exacerbates defects in PBAF-deficient cells. This study reveals a novel link between chromatin remodeling, metal signaling, and muscle development, with implications for stress adaptation and metabolic regulation in myogenesis.
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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 | 0.000 |
| 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".