Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection.

ABSTRACT: Biochemical reactions are subject to stochastic fluctuations that can give rise to cell-to-cell variability. Yet, how this variability affects viral infections, which themselves involve noisy reactions, remains largely elusive. Here we present single-cell experiments and stochastic simulations that reveal a large heterogeneity between influenza A virus (IAV)-infected cells. In particular, experimental data show that progeny virus titres range from 1 to 970 plaque-forming units and intracellular viral RNA (vRNA) levels span three orders of magnitude. Moreover, the segmentation of IAV genomes seems to increase the susceptibility of their replication to noise, since the level of different genome segments can vary substantially within a cell. In addition, simulations suggest that the abortion

SUBMITTER: Heldt FS 

PROVIDER: S-EPMC4673863 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature