SLICE: determining cell differentiation and lineage based on single cell entropy.

ABSTRACT: A complex organ contains a variety of cell types, each with its own distinct lineage and function. Understanding the lineage and differentiation state of each cell is fundamentally important for the ultimate delineation of organ formation and function. We developed SLICE, a novel algorithm that utilizes single-cell RNA-seq (scRNA-seq) to quantitatively measure cellular differentiation states based on single cell entropy and predict cell differentiation lineages via the construction of entropy directed cell trajectories. We validated our approach using three independent data sets with known lineage and developmental time information from both Homo sapiens and Mus musculus. SLICE successfully measured the differentiation states of single cells and reconstructed cell differentiation trajector

SUBMITTER: Guo M 

PROVIDER: S-EPMC5397210 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature