The nuclear membrane protein Samp1 links peripheral genome organization to the myogenic transcriptional program
Kasnik, U.; Mei, I.; Gomez Alcalde, S.; Aftab, S.; Hedlund, E.; Hallberg, E.
Show abstract
Samp1 is an inner nuclear membrane protein required for myogenic differentiation and involved in chromatin organization at the nuclear periphery. Here, we investigated whether these functions are connected by studying the effects of Samp1 depletion during C2C12 myogenic differentiation using immunofluorescence microscopy, RNA sequencing, FRIC, and chromosome-positioning analysis. Samp1-depleted cells showed strongly reduced MyHC expression and virtually abrogated multinucleated fiber formation. Although cell-cycle withdrawal was not prevented, the transcriptional program driving differentiation was drastically perturbed, with reduced muscle-associated transcripts and incomplete repression of genes normally downregulated during myogenesis. Samp1 depletion also disrupted peripheral chromatin organization and prevented the accumulation of peripheral heterochromatin typically seen during differentiation. In addition, radial chromosome distribution was disrupted, evidenced by the failure of chromosome 8 to reposition to the nuclear periphery during differentiation. Together, these findings link the requirement for Samp1 in myogenic differentiation to its role in genome organization at the nuclear periphery.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Lamin A/C Deficiency Enables Increased Myosin2 Bipolar Filament Ensembles Which Promote Divergent Actomyosin Network Anomalies Through Self Organization 93%
- Vinculin anchors contractile actin to the cardiomyocyte adherens junction 92%
- Physicochemical mechanotransduction alters nuclear shape and mechanics via heterochromatin formation 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.