关键词: Cell-fusion Cumulative distribution function SARS-CoV-2 Syncytia Syncytiotrophoblast

Mesh : Humans Giant Cells / virology cytology Cell Fusion SARS-CoV-2 / physiology Trophoblasts / virology cytology Spike Glycoprotein, Coronavirus / metabolism Female COVID-19 / virology Pregnancy Virus Internalization Placenta / virology cytology

来  源:   DOI:10.1016/j.bbrc.2024.150281

Abstract:
Cell-fusion mediated generation of multinucleated syncytia represent critical feature during viral infection and in development. Efficiency of syncytia formation is usually illustrated as fusion efficiency under given condition by quantifying total number of nuclei in syncytia normalized to total number of nuclei (both within syncytia and unfused cell nuclei) in unit field of view. However heterogeneity in multinucleated syncytia sizes poses challenge in quantification of cell-fusion multinucleation under diverse conditions. Taking in-vitro SARS-CoV-2 spike-protein variants mediated virus-cell fusion model and placenta trophoblast syncytialization as cell-cell fusion model; herein we emphasize wide application of simple unbiased detailed measure of virus-cell and cell-cell multinucleation using experiential cumulative distribution function (CDF) and fusion number events (FNE) approaches illustrating comprehensive metrics for syncytia interpretation.
摘要:
细胞融合介导的多核合胞体的产生代表了病毒感染和发育过程中的关键特征。合胞体形成的效率通常在给定条件下通过量化与单位视野中的核总数标准化的合胞体中的核总数(合胞体中和未融合的细胞核内)来说明为融合效率。然而,多核合胞体大小的异质性在多种条件下对细胞融合多核的定量提出了挑战。以体外SARS-CoV-2刺突蛋白变体介导的病毒-细胞融合模型和胎盘滋养层细胞合胞体作为细胞-细胞融合模型;在此,我们强调使用经验累积分布函数(CDF)和融合数事件(FNE)方法对病毒-细胞和细胞-细胞多核的简单无偏详细测量的广泛应用。
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