A differential network analysis approach for lineage specifier prediction in stem cell subpopulations.

ABSTRACT:

Background

Stem cell differentiation is a complex biological process. Cellular heterogeneity, such as the co-existence of different cell subpopulations within a population, partly hampers our understanding of this process. The modern single-cell gene expression technologies, such as single-cell RT-PCR and RNA-seq, have enabled us to elucidate such heterogeneous cell subpopulations. However, the identification of a transcriptional regulatory network (TRN) for each cell subpopulation within a population and genes determining specific cell fates (lineage specifiers) remains a challenge due to the slower development of appropriate computational and experimental workflows. Here, we propose a computational differential network analysis approach for predicting lineage specifiers in binary

SUBMITTER: Okawa S 

PROVIDER: S-EPMC5516870 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature