Pseudo-temporal ordering of individual cells reveals regulators of differentiation

ABSTRACT: Single-cell expression profiling by RNA-Seq promises to exploit cell-to-cell variation in gene expression to reveal regulatory circuitry governing cell differentiation and other biological processes. Here, we describe Monocle, a novel unsupervised algorithm for ordering cells by progress through differentiation that dramatically increases temporal resolution of expression measurements. This reordering unmasks switch-like changes in expression of key regulatory factors, reveals sequentially organized waves of gene regulation, and exposes regulators of cell differentiation. A functional screen confirms that a number of these regulators dramatically alter the efficiency of myoblast differentiation, demonstrating that single-cell expression analysis with Monocle can uncover new regulators eve

ORGANISM(S): Homo sapiens

SUBMITTER: Cole Trapnell 

PROVIDER: E-GEOD-52529 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress