title: Dynamic models of viral replication and latency.
abstract: OBJECTIVE
  HIV targets primary CD4(+) T cells. The virus depends on the physiological state of its target cells for efficient replication, and, in turn, viral infection perturbs the cellular state significantly. Identifying the virus-host interactions that drive these dynamic changes is important for a better understanding of viral pathogenesis and persistence. The present review focuses on experimental and computational approaches to study the dynamics of viral replication and latency.
  
  
  RESULTS
  It was recently shown that only a fraction of the inducible latently infected reservoirs are successfully induced upon stimulation in ex-vivo models while additional rounds of stimulation make allowance for reactivation of more latently infected cells. This highlights the potential role of treatment duration and timing as important factors for successful reactivation of latently infected cells. The dynamics of HIV productive infection and latency have been investigated using transcriptome and proteome data. The cellular activation state has shown to be a major determinant of viral reactivation success. Mathematical models of latency have been used to explore the dynamics of the latent viral reservoir decay.
  
  
  CONCLUSIONS
  Timing is an important component of biological interactions. Temporal analyses covering aspects of viral life cycle are essential for gathering a comprehensive picture of HIV interaction with the host cell and untangling the complexity of latency. Understanding the dynamic changes tipping the balance between success and failure of HIV particle production might be key to eradicate the viral reservoir.
authors.affiliation: aInstitute of Microbiology, University Hospital of Lausanne, University of Lausanne, Lausanne bDepartment of Biosystems Science and Engineering, ETH Zurich cSwiss Institute of Bioinformatics, Basel, Switzerland.
authors.forename: Pejman
authors.initials: P
authors.lastname: Mohammadi
authors.forename: Angela
authors.initials: A
authors.lastname: Ciuffi
authors.forename: Niko
authors.initials: N
authors.lastname: Beerenwinkel
mesh_terms: D015658:HIV Infections; D015497:HIV-1; D054884:Host-Pathogen Interactions; D006801:Humans; D008954:Models, Biological; D059467:Transcriptome; D017735:Virus Latency; D014779:Virus Replication