Department of Molecular Medicine and Biotechnology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Department of Biostatistics and Health Informatics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, 226014, India.
Biochem Biophys Res Commun. 2024 Sep 24;726:150281. doi: 10.1016/j.bbrc.2024.150281. Epub 2024 Jun 20.
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.
细胞融合介导的多核合胞体的产生是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通过在给定条件下定量单位视野内合胞体中总核数与总核数（合胞体中和未融合细胞核中的核数）的比值来表示。然而，多核合胞体大小的异质性给不同条件下的细胞融合多核化定量带来了挑战。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融合模型为例；本文强调了使用经验累积分布函数（CDF）和融合核事件（FNE）方法对病毒-细胞和细胞-细胞多核化进行简单无偏详细测量的广泛应用，这些方法为合胞体解释提供了全面的指标。
