Reconstructing temporal and spatial dynamics from single-cell pseudotime using prior knowledge of real scale cell densities.

ABSTRACT: Modern cytometry methods allow collecting complex, multi-dimensional data sets from heterogeneous cell populations at single-cell resolution. While methods exist to describe the progression and order of cellular processes from snapshots of such populations, these descriptions are limited to arbitrary pseudotime scales. Here we describe MAPiT, an universal transformation method that recovers real-time dynamics of cellular processes from pseudotime scales by utilising knowledge of the distributions on the real scales. As use cases, we applied MAPiT to two prominent problems in the flow-cytometric analysis of heterogeneous cell populations: (1) recovering the kinetics of cell cycle progression in unsynchronised and thus unperturbed cell populations, and (2) recovering the spatial arrangement

SUBMITTER: Kuritz K 

PROVIDER: S-EPMC7046765 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature