Institute of Biology and Information Science, School of Computer Science and Software Engineering, School of Life Sciences , East China Normal University , Shanghai 200062 , PR China.
Laboratory for Artificial Biology, Centre for Integrative Biology (CIBIO) , University of Trento , 38122 , Trento , Italy.
Langmuir. 2019 Feb 12;35(6):2375-2382. doi: 10.1021/acs.langmuir.8b03635. Epub 2019 Jan 30.
Many biologists, biochemists, and biophysicists study giant vesicles, which have a diameter of >1 μm, owing to their ease of characterization using standard optical methods. More recently, there has been interest in using giant vesicles as model systems for living cells and for the construction of artificial cells. In fact, there have been a number of reports about functionalizing giant vesicles using membrane-bound pore proteins and encapsulating biochemical reactions. Among the various methods for preparing giant vesicles, the water-in-oil emulsion transfer method is particularly well established. However, the giant vesicles prepared by this method have complex and heterogeneous properties, such as particle size and membrane structure. Here, we demonstrate the characterization of giant vesicles by imaging flow cytometry to provide quantitative and qualitative information about the vesicle products prepared by the water-in-oil emulsion transfer method. Through image-based analyses, several kinds of protocol byproducts, such as oil droplets and vesicles encapsulating no target molecules, were identified and successfully quantified. Further, the optimal agitation conditions for the water-in-oil emulsion transfer method were found from detailed analysis of imaging flow cytometry data. Our results indicate that a sonication-based water-in-oil emulsion transfer method exhibited a higher efficiency in producing giant vesicles, about 10 times or higher than that of vortex and rumble strip-based methods. It is anticipated that these approaches will be useful for fine-tuning giant vesicle production and subsequent applications.
许多生物学家、生物化学家以及生物物理学家都研究过直径>1μm 的巨大囊泡,因为使用标准光学方法很容易对其进行特征描述。最近,人们对使用巨大囊泡作为活细胞模型系统和人工细胞构建的兴趣日益浓厚。事实上,已经有许多关于使用膜结合孔蛋白对巨大囊泡进行功能化并封装生化反应的报道。在制备巨大囊泡的各种方法中,水包油乳液转移法尤其成熟。然而,该方法制备的巨大囊泡具有复杂且不均匀的性质,例如粒径和膜结构。在这里,我们通过成像流细胞术对巨大囊泡进行了表征,以提供有关水包油乳液转移法制备的囊泡产物的定量和定性信息。通过基于图像的分析,鉴定并成功量化了几种方案副产物,例如油滴和不包含靶分子的囊泡。此外,还通过详细分析成像流细胞术数据找到了水包油乳液转移法的最佳搅拌条件。我们的结果表明,基于超声的水包油乳液转移法在产生巨大囊泡方面的效率更高,大约是涡旋和颠簸带方法的 10 倍或更高。预计这些方法将有助于微调巨大囊泡的生产及其后续应用。