Laboratoire de Physique Statistique, Ecole Normale Supérieure , PSL Research University, Université Paris Diderot Sorbonne Paris Cité, Sorbonne Universités UPMC Univ Paris 06, CNRS , Paris 75005 , France.
Department of Cell Biology , Yale School of Medicine , New Haven , 333 Cedar Street , Connecticut 06510 , United States.
Langmuir. 2018 May 22;34(20):5849-5859. doi: 10.1021/acs.langmuir.8b00116. Epub 2018 May 9.
In vivo membrane fusion primarily occurs between highly curved vesicles and planar membranes. A better understanding of fusion entails an accurate in vitro reproduction of the process. To date, supported bilayers have been commonly used to mimic the planar membranes. Soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) proteins that induce membrane fusion usually have limited fluidity when embedded in supported bilayers. This alters the kinetics and prevents correct reconstitution of the overall fusion process. Also, observing content release across the membrane is hindered by the lack of a second aqueous compartment. Recently, a step toward resolving these issues was achieved by using membranes spread on holey substrates. The mobility of proteins was preserved but vesicles were prone to bind to the substrate when reaching the edge of the hole, preventing the observation of many fusion events over the suspended membrane. Building on this recent advance, we designed a method for the formation of pore-spanning lipid bilayers containing t-SNARE proteins on Si/SiO holey chips, allowing the observation of many individual vesicle fusion events by both lipid mixing and content release. With this setup, proteins embedded in the suspended membrane bounced back when they reached the edge of the hole which ensured vesicles did not bind to the substrate. We observed SNARE-dependent membrane fusion with the freestanding bilayer of about 500 vesicles. The time between vesicle docking and fusion is ∼1 s. We also present a new multimodal open-source software, Fusion Analyzer Software, which is required for fast data analysis.
体内膜融合主要发生在高度弯曲的囊泡和平整膜之间。要更好地理解融合,就需要在体外准确复制该过程。迄今为止,支撑双层膜常用于模拟平面膜。在支撑双层膜中嵌入的诱导膜融合的可溶性 N-乙基马来酰亚胺敏感因子附着蛋白受体 (SNARE) 蛋白通常流动性有限。这会改变动力学,阻止整个融合过程的正确重组。此外,由于缺乏第二个水相隔间,观察跨膜的内容物释放受到阻碍。最近,通过使用在有孔基底上展开的膜,朝着解决这些问题迈出了一步。蛋白质的流动性得到了保留,但当囊泡到达孔的边缘时,很容易与基底结合,从而阻止了在悬浮膜上观察到许多融合事件。基于这一最新进展,我们设计了一种在 Si/SiO 有孔芯片上形成含有 t-SNARE 蛋白的孔跨双层脂质的方法,通过脂质混合和内容物释放来观察许多单个囊泡融合事件。使用这种设置,当蛋白质到达孔的边缘时,它们会在悬浮膜中反弹,从而确保囊泡不会与基底结合。我们观察到具有约 500 个囊泡的自由支撑双层的 SNARE 依赖性膜融合。囊泡对接和融合之间的时间约为 1 秒。我们还介绍了一种新的多模态开源软件,即融合分析软件,它是快速数据分析所必需的。