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The molecular principles governing HCMV infection outcome

ABSTRACT: Infection with Human cytomegalovirus (HCMV) can result in either productive or non-productive infection, the latter potentially leading to establishment of latency, but the molecular factors that dictate these different infection outcomes are elusive. Macrophages are known targets of HCMV and considered to be permissive for productive infection, while monocytes, their precursors, are thought to support latent infection. Here we reveal that infection of macrophages is more complex than previously appreciated and can result in either productive or non-productive infection. By analyzing the progression of HCMV infection in c and macrophages using single cell transcriptomics, we uncover that the key characteristics that define productive and non-productive cells are the onset of viral gene expression, and activation of Interferon-stimulated genes (ISGs), respectively. We show that the level of viral gene expression, and specifically the expression of the major immediate early factor, IE1, is the principle barrier for establishing productive infection. On the cellular side, induction of ISGs in response to infection surprisingly does not dictate infection outcome, but we find that the cell intrinsic ISG levels is a main determinant of infection outcome. Indeed, intrinsic ISG level is downregulated with monocyte differentiation. We further show that, compared to monocytes, non-productive macrophages maintain slightly higher levels of viral transcripts and are able to reactivate, raising the possibility that they can serve as latency reservoirs in tissues. Moreover, we find that productive infection perturbs macrophage identity and function, likely affecting their immunological role during active infection. Overall, by harnessing the tractable system of monocyte differentiation we decipher the underlying principles that control HCMV infection outcome, and propose macrophages as a new potential HCMV reservoir in tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE189581 | GEO | 2023/01/05

REPOSITORIES: GEO

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Project description:Aguilera 2014 - HIV latency. Interaction between HIV proteins and immune response This model is described in the article: Studying HIV latency by modeling the interaction between HIV proteins and the innate immune response. Aguilera LU, Rodríguez-González J. J. Theor. Biol. 2014 Nov; 360: 67-77 Abstract: HIV infection leads to two cell fates, the viral productive state or viral latency (a reversible non-productive state). HIV latency is relevant because infected active CD4+ T-lymphocytes can reach a resting memory state in which the provirus remains silent for long periods of time. Despite experimental and theoretical efforts, the causal molecular mechanisms responsible for HIV latency are only partially understood. Studies have determined that HIV latency is influenced by the innate immune response carried out by cell restriction factors that inhibit the postintegration steps in the virus replication cycle. In this study, we present a mathematical study that combines deterministic and stochastic approaches to analyze the interactions between HIV proteins and the innate immune response. Using wide ranges of parameter values, we observed the following: (1) a phenomenological description of the viral productive and latent cell phenotypes is obtained by bistable and bimodal dynamics, (2) biochemical noise reduces the probability that an infected cell adopts the latent state, (3) the effects of the innate immune response enhance the HIV latency state, (4) the conditions of the cell before infection affect the latent phenotype, i.e., the existing expression of cell restriction factors propitiates HIV latency, and existing expression of HIV proteins reduces HIV latency. This model is hosted on BioModels Database and identified by: BIOMD0000000573. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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The molecular principles governing HCMV infection outcome

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