Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, United States.
Department of Genome Sciences, University of Washington, Seattle, United States.
Elife. 2018 Feb 16;7:e32303. doi: 10.7554/eLife.32303.
Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription - viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells.
病毒感染可以显著改变细胞的转录组。然而,这些变化主要通过对大量细胞的批量测量来研究。在这里,我们使用单细胞 mRNA 测序来研究流感病毒感染的转录后果。我们发现病毒转录的生产力在细胞间存在极大的差异——在许多感染细胞中,病毒转录本只占总 mRNA 的不到百分之一,但有少数细胞的 mRNA 有一半以上来自病毒。一些感染细胞至少有一种病毒基因不表达,但这种基因缺失仅部分解释了病毒转录负荷的变化。尽管病毒载量存在差异,但病毒 mRNA 的相对丰度在感染细胞中相当一致。先天免疫途径的激活很少见,但一些细胞基因的丰度与病毒 mRNA 的数量呈共变。总的来说,我们的结果突出了单细胞水平病毒感染的复杂性。