Back

Chromatin remodeler Brahma safeguards canalization in cardiac mesoderm differentiation

Hota, S. K.; Blair, A. P.; Rao, K. S.; So, K.; Blotnick, A. M.; Desai, R. V.; Weinberger, L. S.; Kathiriya, I. S.; Bruneau, B. G.

2020-06-04 developmental biology
10.1101/2020.06.03.132654 bioRxiv
Show abstract

Differentiation proceeds along a continuum of increasingly fate-restricted intermediates, referred to as canalization1-4. Canalization is essential for stabilizing cell fate, but the mechanisms underlying robust canalization are unclear. Here we show that deletion of the BRG1/BRM-associated factor (BAF) chromatin remodeling complex ATPase gene Brm (encoding Brahma) results in a radical identity switch during directed cardiogenesis of mouse embryonic stem cells (ESCs). Despite establishment of well-differentiated precardiac mesoderm, Brm-null cells subsequently shifted identities, predominantly becoming neural precursors, violating germ layer assignment. Trajectory inference showed sudden acquisition of non-mesodermal identity in Brm-null cells, consistent with a new transition state inducing a fate switch referred to as a saddle-node bifurcation3,4. Mechanistically, loss of Brm prevented de novo accessibility of cardiac enhancers while increasing expression of the neurogenic factor POU3F1 and preventing expression of the neural suppressor REST. Brm mutant identity switch was overcome by increasing BMP4 levels during mesoderm induction, repressing Pou3f1 and re-establishing a cardiogenic chromatin landscape. Our results reveal BRM as a compensable safeguard for fidelity of mesoderm chromatin states, and support a model in which developmental canalization is not a rigid irreversible path, but a highly plastic trajectory that must be safeguarded, with implications in development and disease.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.