Single-cell RNA-seq reveals transcriptomic heterogeneity mediated by host-pathogen dynamics in lymphoblastoid cell lines.
Single-cell RNA-seq reveals transcriptomic heterogeneity mediated by host-pathogen dynamics in lymphoblastoid cell lines.
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单细胞RNA-seq揭示了淋巴母细胞系中宿主-病原体动力学介导的转录组异质性。
DOI:
10.7554/elife.62586
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发表时间:
2021-01-27
期刊:
影响因子:
7.7
通讯作者:
Luftig MA
中科院分区:
文献类型:
--
作者:
SoRelle ED;Dai J;Bonglack EN;Heckenberg EM;Zhou JY;Giamberardino SN;Bailey JA;Gregory SG;Chan C;Luftig MA
Lymphoblastoid cell lines (LCLs) are generated by transforming primary B cells with Epstein–Barr virus (EBV) and are used extensively as model systems in viral oncology, immunology, and human genetics research. In this study, we characterized single-cell transcriptomic profiles of five LCLs and present a simple discrete-time simulation to explore the influence of stochasticity on LCL clonal evolution. Single-cell RNA sequencing (scRNA-seq) revealed substantial phenotypic heterogeneity within and across LCLs with respect to immunoglobulin isotype; virus-modulated host pathways involved in survival, activation, and differentiation; viral replication state; and oxidative stress. This heterogeneity is likely attributable to intrinsic variance in primary B cells and host–pathogen dynamics. Stochastic simulations demonstrate that initial primary cell heterogeneity, random sampling, time in culture, and even mild differences in phenotype-specific fitness can contribute substantially to dynamic diversity in populations of nominally clonal cells.