Single-Cell Spatiotemporal Modeling - From RNA Velocity to Spatial Transcriptomics

Explore single-cell spatiotemporal modeling in this 52-minute conference talk by Xiaojie Qiu, a Postdoctoral Fellow at MIT and Whitehead Institute. Dive into the analytical framework dynamo, which overcomes limitations of conventional RNA velocity analyses and enables accurate velocity estimations on metabolically labeled human hematopoiesis scRNA-seq data. Discover how differential geometry analyses reveal mechanisms driving early megakaryocyte appearance and elucidate asymmetrical regulation within the PU.1-GATA1 circuit. Learn about the least-action-path method for predicting drivers of hematopoietic transitions and in silico perturbations for predicting cell-fate diversions. Gain insights into Stereo-seq, a cutting-edge spatial transcriptomic technology with subcellular resolution, high sensitivity, and large field of view. Understand how Stereo-seq is used to define tissue domains, build a panoramic atlas of mouse organogenesis, and investigate spatiotemporal dynamics of telencephalon neuron migration.