HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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. It is a prerequisite for a principled understanding of the inner working of a system. Due to the complexity of intracellular processes experimental techniques that can retrieve such a sufficient summary are beyond reach. For the case of stochastic biomolecular reaction networks we show how to complete 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 novel approximation to the corresponding infinite-dimensional posterior moment dynamics. We exemplify this state reconstruction approach using both, in silico data and single-cell data from two gene expression systems in Saccharomyces cerevisiae, where we reconstruct the dynamic promoter and mRNA states from noisy protein abundance measurements.
Complete list of metadata

Cited literature [48 references]  Display  Hide  Download

Contributor : Loïc Paulevé Connect in order to contact the contributor
Submitted on : Thursday, September 8, 2016 - 9:59:17 PM
Last modification on : Thursday, July 8, 2021 - 3:47:04 AM
Long-term archiving on: : Friday, December 9, 2016 - 1:24:34 PM


Files produced by the author(s)



Lirong Huang, Loïc Paulevé, Christoph Zechner, Michael Unger, Anders S. Hansen, et al.. Reconstructing dynamic molecular states from single-cell time series. Journal of the Royal Society Interface, the Royal Society, 2016, 13 (122), ⟨10.1098/rsif.2016.0533⟩. ⟨hal-01362502⟩



Record views


Files downloads