Paradigms, innovations, and biological applications of RNA velocity: a comprehensive review.

ABSTRACT: Single-cell RNA sequencing enables unprecedented insights into cellular heterogeneity and lineage dynamics. RNA velocity, by modeling the temporal relationship between spliced and unspliced transcripts, extends this capability to predict future transcriptional states and uncover the directionality of cellular transitions. Since the introduction of foundational frameworks such as Velocyto and scVelo, an expanding array of computational tools has emerged, each based on distinct biophysical assumptions and modeling paradigms. To provide a structured overview of this rapidly evolving field, we categorize RNA velocity models into three classes: steady-state methods, trajectory methods, and state extrapolation methods, according to their underlying approaches to transcriptional kinetics inferenc

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12265890 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature