Membrane fusion: Lipid vesicles as a model system

脂质双层融合 化学 小泡 生物物理学 脂质双层 外周膜蛋白 融合 双层 膜蛋白 生物膜 细胞膜弹性 膜生物物理学 生物化学 整体膜蛋白 脂质双层相行为 生物 语言学 哲学
作者
Jan Wilschut,Dick Hoekstra
出处
期刊:Chemistry and Physics of Lipids [Elsevier]
卷期号:40 (2-4): 145-166 被引量:146
标识
DOI:10.1016/0009-3084(86)90068-x
摘要

In many cellular functions the process of membrane fusion is of vital importance. It occurs in a highly specific and strictly controlled fashion. Proteins are likely to play a key role in the induction and modulation of membrane fusion reactions. Aimed at providing insight into the molecular mechanisms of membrane fusion, numerous studies have been carried out on model membrane systems. For example, the divalent-cation induced aggregation and fusion of vesicles consisting of negatively charged phospholipids, such as phosphatidylserine (PS) or cardiolipin (CL), have been characterized in detail. It is important to note that these systems largely lack specificity and control. Therefore conclusions derived from their investigation can not be extrapolated directly to a seemingly comparable counterpart in biology. Yet, the study of model membrane systems does reveal the general requirements of lipid bilayer fusion. The most prominent barrier to molecular contact between two apposing bilayers appears to be due to the hydration of the polar groups of the lipid molecules. Thus, dehydration of the bilayer surface and fluctuations in lipid packing, allowing direct hydrophobic interactions, are critical to the induction of membrane fusion. These membrane alterations are likely to occur only locally, at the site of intermembrane contact. Current views on the way membrane proteins may induce fusion under physiological conditions also emphasize the notion of local surface dehydration and perturbation of lipid packing, possibly through penetration of apolar amino acid segments into the hydrophobic membrane interior.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
舒心的雍应助科研通管家采纳,获得10
刚刚
lcc应助科研通管家采纳,获得10
刚刚
Criminology34应助科研通管家采纳,获得10
1秒前
lcc应助科研通管家采纳,获得10
1秒前
qiuyouze发布了新的文献求助10
1秒前
lcc应助科研通管家采纳,获得10
1秒前
1秒前
ding应助科研通管家采纳,获得10
1秒前
Criminology34应助科研通管家采纳,获得10
1秒前
1秒前
lcc应助科研通管家采纳,获得10
1秒前
Akim应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
ding应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
1秒前
Akim应助科研通管家采纳,获得10
1秒前
1秒前
佐治发布了新的文献求助10
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
唔wu发布了新的文献求助10
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
1秒前
无极微光应助科研通管家采纳,获得20
1秒前
Criminology34应助科研通管家采纳,获得10
1秒前
1秒前
Owen应助科研通管家采纳,获得30
1秒前
害羞耷发布了新的文献求助10
1秒前
1秒前
烟花应助科研通管家采纳,获得10
1秒前
2秒前
小二郎应助科研通管家采纳,获得10
2秒前
lcc应助科研通管家采纳,获得10
2秒前
小二郎应助NiuNiu采纳,获得10
2秒前
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
橘子海发布了新的文献求助10
2秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
the Oxford Guide to the Bantu Languages 3000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5762211
求助须知:如何正确求助?哪些是违规求助? 5534714
关于积分的说明 15402511
捐赠科研通 4898495
什么是DOI,文献DOI怎么找? 2634891
邀请新用户注册赠送积分活动 1583051
关于科研通互助平台的介绍 1538203