Uncovering distinct protein-network topologies in heterogeneous cell populations.

ABSTRACT:

Background

Cell biology research is fundamentally limited by the number of intracellular components, particularly proteins, that can be co-measured in the same cell. Therefore, cell-to-cell heterogeneity in unmeasured proteins can lead to completely different observed relations between the same measured proteins. Attempts to infer such relations in a heterogeneous cell population can yield uninformative average relations if only one underlying biochemical network is assumed. To address this, we developed a method that recursively couples an iterative unmixing process with a Bayesian analysis of each unmixed subpopulation.

Results

Our approach enables to identify the number of distinct cell subpopulations, unmix their corresponding observations and resolve the network structu

SUBMITTER: Wieczorek J 

PROVIDER: S-EPMC4480582 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature