Timing Is Everything

被引:3
作者
Schang, Luis M. [1 ]
机构
[1] Cornell Univ, Baker Inst Anim Hlth, Ithaca, NY 14850 USA
关键词
dynamic proteomics; single-cell analyses; cell cycle; gene expression; herpes simplex virus; HERPES-SIMPLEX-VIRUS; CYCLIN-DEPENDENT KINASES; LYTIC INFECTION; PLATING EFFICIENCY; GENE-EXPRESSION; DNA-REPLICATION; PROTEIN ICP0; CELL-CYCLE; TYPE-1; TRANSCRIPTION;
D O I
10.1128/mBio.02140-17
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
N. Drayman et al. in their recent article (mBio 8: e01612-17, 2017, https://doi.org/10.1128/mBio.01612-17) have used dynamic proteomics and machine learning to show that the cell cycle state of any individual cell affects the outcome of a productive herpes simplex virus 1 (HSV-1) infection. Cells infected from early G(1) through S were most permissive for expression of genes from the HSV-1 genome, whereas cells infected in late G(2) to mitosis were much less so. Most of the infected cells that underwent mitosis became permanently nonpermissive for HSV-1 gene expression afterward. The cell cycle stage accounted for 60% of the success of infection, and cell density and motility accounted for most of the rest. To successfully reactivate, HSV-1 must express its genes in neurons and cells of the spinosum and granulosum epidermis strata. These cells are permanently in the cell cycle stages most permissive for HSV-1 gene expression, and none reenters mitosis, thus maximizing the efficiency of a successful HSV-1 reactivation before the adaptive immunity can control it.
引用
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页数:5
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