MIT engineers developed a deep-learning model that predicts, with 90% accuracy, how individual cells in a fruit fly embryo fold, divide, and rearrange during early development, potentially aiding in understanding tissue formation and early disease detection.
The study provides a comprehensive transcriptomic and epigenomic atlas of mouse visual cortex development, revealing continuous cell-type diversification from embryonic to postnatal stages, with detailed trajectories for neuronal and glial cell types, enhancing understanding of cortical circuit formation.
Researchers at UT Southwestern developed a genetic technique called enforced mitophagy to remove mitochondria from stem cells and embryos, revealing their roles in cellular function, development, and evolution, with potential implications for treating mitochondrial diseases.