Siwat Ruangroengkulrith

The paper shows NR5A2 uses feed-forward loops with KLF and GATA factors to regulate gene activation during mouse pre-implantation development.

The paper uses a convolutional neural network to identify regulatory motifs and their cell type-specific importance from single-cell data, explaining 29% of gene expression variance in mouse tissues.

This study identifies Nr5a2 as a key activator of zygotic genome activation in mouse embryos, showing it regulates 72% of ZGA genes and is essential for development beyond the 2-cell stage.