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定量膜性质-形态关系(QmPMR)分析的意义。

Significance of quantitative membrane property-morphology relation (QmPMR) analysis.

机构信息

Division of Chemical Engineering, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka, Osaka 560-8531, Japan.

Rowan University, Rowan Hall, Room 333 70 Sewell St., Ste. E Glassboro, NJ 08028, USA.

出版信息

Soft Matter. 2024 Jun 26;20(25):4935-4949. doi: 10.1039/d4sm00253a.

Abstract

Deformation of the cell membrane is well understood from the viewpoint of protein interactions and free energy balance. However, the various dynamic properties of the membrane, such as lipid packing and hydrophobicity, and their relationship with cell membrane deformation are unknown. Therefore, the deformation of 1,2-dipalmitoyl--3-phosphocholine (DPPC) and oleic acid (OA) giant unilamellar vesicles (GUVs) was induced by heating and cooling cycles, and time-lapse analysis was conducted based on the membrane hydrophobicity and physical parameters of "single-parent" and "daughter" vesicles. Fluorescence ratiometric analysis by simultaneous dual-wavelength detection revealed the variation of different hydrophilic GUVs and enabled inferences of the "daughter" vesicle composition and the "parent" membrane's local composition during deformation; the "daughter" vesicle composition of OA was lower than that of the "parents", and lateral movement of OA was the primary contributor to the formation of the "daughter" vesicles. Thus, our findings and the newly developed methodology, named quantitative membrane property-morphology relation (QmPMR) analysis, would provide new insights into cell deformation and accelerate research on both deformation and its related events, such as budding and birthing.

摘要

从蛋白质相互作用和自由能平衡的角度来看,细胞膜的变形是可以很好理解的。然而,细胞膜的各种动态特性,如脂质堆积和疏水性,以及它们与细胞膜变形的关系尚不清楚。因此,通过加热和冷却循环诱导 1,2-二棕榈酰基-3-磷酸胆碱(DPPC)和油酸(OA)巨单层囊泡(GUV)的变形,并基于膜疏水性和“单亲”和“子”囊泡的物理参数进行延时分析。通过同时双波长检测的荧光比率分析揭示了不同亲水性 GUV 的变化,并能够推断出“子”囊泡的组成和变形过程中“母”膜的局部组成;OA 的“子”囊泡组成低于“母”的,OA 的侧向运动是形成“子”囊泡的主要原因。因此,我们的发现和新开发的方法,称为定量膜性质-形态关系(QmPMR)分析,将为细胞变形提供新的见解,并加速对变形及其相关事件(如出芽和分娩)的研究。

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