Understanding how gene expression in single cells progress over time is vital for revealing
the mechanisms governing cell fate transitions. RNA velocity, which infers immediate …

Modeling cellular processes in the framework of dynamical systems theories is a focused
area in systems and mathematical biology, but a bottleneck to extend the efforts to genome …

Summary Single-cell (sc) RNA-seq, together with RNA velocity and metabolic labeling,
reveals cellular states and transitions at unprecedented resolution. Fully exploiting these …

Recent advances in single-cell sequencing technology have revolutionized our ability to
acquire whole transcriptome data. However, uncovering the underlying transcriptional …

Technological developments have led to an explosion of high-throughput single-cell data,
which are revealing unprecedented perspectives on cell identity. Recently, significant …

In single-cell RNA-sequencing (scRNA-seq), gene expression is assessed individually for
each cell, allowing the investigation of developmental processes, such as embryogenesis …

Experimental approaches for measuring single-cell gene expression can observe each cell
at only one time point, requiring computational approaches for reconstructing the dynamics …

Single-cell transcriptomics experiments provide gene expression snapshots of
heterogeneous cell populations across cell states. These snapshots have been used to infer …

Recent development of RNA velocity uses master equations to establish the kinetics of the
life cycle of RNAs from unspliced RNA to spliced RNA (ie, mature RNA) to degradation. To …

Analyzing the trajectories of cellular differentiation sheds light on key questions across
biology, from how cell types are stabilized during embryonic development to how they …