Single-cell RNA sequencing (scRNA-seq) is a powerful approach for studying cellular
differentiation, but accurately tracking cell fate transitions can be challenging, especially in …

BACKGROUND: Smooth muscle cell (SMC) phenotypic switching has been increasingly
detected in aortic aneurysm and dissection (AAD) tissues. However, the diverse SMC …

The development of highly parallel and affordable high-throughput single-cell
transcriptomics technologies has revolutionized our understanding of brain complexity …

The existence of neurogenesis in the adult human hippocampus has been under
considerable debate within the past three decades due to the diverging conclusions …

Pivotal in many ways for human health, the control of adult bone mass is governed by
complex, incompletely understood crosstalk namely between mesenchymal stem cells …

Existing RNA velocity estimation methods strongly rely on predefined dynamics and cell-
agnostic constant transcriptional kinetic rates, assumptions often violated in complex and …

Single-cell RNA sequencing allows us to model cellular state dynamics and fate decisions
using expression similarity or RNA velocity to reconstruct state-change trajectories; however …

We presented an experimental method called FLOUR-seq, which combines BD Rhapsody
and nanopore sequencing to detect the RNA lifecycle (including nascent, mature, and …

Spatial transcriptomics and messenger RNA splicing encode extensive spatiotemporal
information for cell states and transitions. The current lineage-inference methods either lack …

RNA velocity is a powerful paradigm that exploits the temporal information contained in
spliced and unspliced RNA counts to infer transcriptional dynamics. Existing velocity models …