Reconstruction of complex single-cell trajectories using CellRouter.

ABSTRACT: A better understanding of the cell-fate transitions that occur in complex cellular ecosystems in normal development and disease could inform cell engineering efforts and lead to improved therapies. However, a major challenge is to simultaneously identify new cell states, and their transitions, to elucidate the gene expression dynamics governing cell-type diversification. Here, we present CellRouter, a multifaceted single-cell analysis platform that identifies complex cell-state transition trajectories by using flow networks to explore the subpopulation structure of multi-dimensional, single-cell omics data. We demonstrate its versatility by applying CellRouter to single-cell RNA sequencing data sets to reconstruct cell-state transition trajectories during hematopoietic stem and progenitor

SUBMITTER: Lummertz da Rocha E 

PROVIDER: S-EPMC5832860 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature