Unknown

Dataset Information

Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data.


ABSTRACT:

Motivation

Technological advances in metabolomics have made it possible to monitor the concentration of extracellular metabolites over time. From these data, it is possible to compute the rates of uptake and excretion of the metabolites by a growing cell population, providing precious information on the functioning of intracellular metabolism. The computation of the rate of these exchange reactions, however, is difficult to achieve in practice for a number of reasons, notably noisy measurements, correlations between the concentration profiles of the different extracellular metabolites, and discontinuties in the profiles due to sudden changes in metabolic regime.

Results

We present a method for precisely estimating time-varying uptake and excretion rates from time-series meas

SUBMITTER: Cinquemani E 

PROVIDER: S-EPMC5870603 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature