Reconstructing dynamic molecular states from single-cell time series.

ABSTRACT: The notion of state for a system is prevalent in the quantitative sciences and refers to the minimal system summary sufficient to describe the time evolution of the system in a self-consistent manner. This is a prerequisite for a principled understanding of the inner workings of a system. Owing to the complexity of intracellular processes, experimental techniques that can retrieve a sufficient summary are beyond our reach. For the case of stochastic biomolecular reaction networks, we show how to convert the partial state information accessible by experimental techniques into a full system state using mathematical analysis together with a computational model. This is intimately related to the notion of conditional Markov processes and we introduce the posterior master equation and derive no

SUBMITTER: Huang L 

PROVIDER: S-EPMC5046952 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature