Post-implantation epiblast maturation and patterning of anterior-posterior axis in mouse embryonic development are mediated by pluripotency transcription factor Zfp281 through transcriptional and epigenetic control of Nodal signaling.
A well-trained deep learning neural network can outperform and can potentially assist expertly trained embryologists in selecting embryos based on their implantation potential, even amongst high-quality euploid blastocyst embryos.
Naive hPSCs can readily give rise to human trophoblast stem cells, thus demonstrating their extraembryonic lineage potential and providing a new model system to study human trophectoderm specification.
Micropatterned differentiation of human ESCs generates gastrulation cell types – germ layers, extraembryonic, and primordial germ cells with primate characteristics – that show conserved sorting behaviors when dissociated and reseeded as single-cell mixture.
A novel lncRNA (Ephemeron) is connected to known post-transcriptional and epigenetic regulators as part of an integrated machinery, which controls the timely exit from the naïve state of mouse embryonic stem cells.
Genetic manipulations show that endogenous transcription factors of the SoxB1 class act redundantly to maintain primed pluripotency and reveal differential effects on transitions between pluripotent and differentiation states.