Cellular state landscape and herpes simplex virus type 1 infection progression are connected.

ABSTRACT: Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection, we mapped high-dimensional viral and cellular state spaces throughout the infection using multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins. Here we show that the high-dimensional cellular state scape can predict heterogenous infections, and cells move through the cellular state landscape according to infection progression. Spatial information reveals that infection changes the cellular state of both infected cells and of th

SUBMITTER: Pietila MK 

PROVIDER: S-EPMC10374626 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature