Unknown

Dataset Information

Differential variability and correlation of gene expression identifies key genes involved in neuronal differentiation.


ABSTRACT:

Background

Understanding the dynamics of stem cell differentiation processes at the molecular level is a central challenge in developmental biology and regenerative medicine. Although the dynamic behaviors of differentiation regulators have been partially characterized, the architecture regulating the underlying molecular systems remains unclear.

Result

System-level analysis of transcriptional data was performed to characterize the dynamics of molecular networks in neural differentiation of stem cells. Expression of a network module of genes tightly co-expressed in mouse embryonic stem (ES) cells fluctuated greatly among cell populations before differentiation, but became stable following neural differentiation. During the neural differentiation process, genes exhibiting bot

SUBMITTER: Ando T 

PROVIDER: S-EPMC4653947 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature