已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Surface tension-driven sorting of human perilipins on lipid droplets

脂滴 脂滴包被蛋白 细胞器 生物物理学 表面张力 化学 磷脂 生物化学 细胞生物学 生物 脂肪细胞 膜 量子力学 物理 脂肪组织
作者
Ana Rita Dias Araújo,Abdoul Akim Bello,Joëlle Bigay,Céline Franckhauser,Romain Gautier,Julie Cazareth,Dávid Kovács,Frédéric Brau,Nicolas Fuggetta,Alenka Čopič,Bruno Antonny
标识
DOI:10.1101/2024.02.12.579497
摘要

Abstract Perilipins (PLINs), the most abundant proteins on lipid droplets (LDs), display similar domain organization including amphipathic helices (AH). However, the five human PLINs bind different LDs suggesting different modes of interaction. We established a minimal system whereby artificial LDs covered with defined polar lipids were transiently deformed to promote surface tension. Binding of purified PLIN3 and PLIN4 AH was dependent on tension, even with polar lipids favoring packing defects, and showed an inverse correlation between protein and phospholipid densities on LDs. In contrast, PLIN1 bound readily to LDs fully covered by phospholipids; PLIN2 showed an intermediate behavior. In human adipocytes, PLIN3/4 were found in a soluble pool and relocated to LDs upon stimulation of triglyceride synthesis, whereas PLIN1 and PLIN2 localized to pre-existing LDs, consistent with the huge difference in LD avidity observed in vitro . We conclude that the PLIN repertoire is adapted to handling LDs with different surface properties. Significance statement Lipid droplets (LDs) are highly dynamic organelles, whose size and surface properties vary during their life-time and also differ between different tissues. Here, we analyze the mode of binding of human perilipins (PLINs), the most abundant LD proteins, to LDs. We have developed a new reconstitution method, which shows that the purified PLIN family members have very different affinities for LDs, which might explain how they handle LDs of different dynamics in the cell.

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
GengjieLin发布了新的文献求助10
1秒前
无题完成签到,获得积分10
1秒前
3秒前
yuntong完成签到 ,获得积分0
3秒前
5秒前
一块地发布了新的文献求助10
5秒前
尼古拉斯铁柱完成签到 ,获得积分10
5秒前
专注的怜珊完成签到,获得积分10
5秒前
6秒前
桤拾桤完成签到 ,获得积分10
7秒前
7秒前
8秒前
时间煮雨我煮鱼完成签到,获得积分10
8秒前
zcl发布了新的文献求助10
9秒前
meng完成签到 ,获得积分10
9秒前
Jason发布了新的文献求助10
9秒前
10秒前
英姑的应助被Nicho采纳,获得10
12秒前
科研通AI2S的应助被Nicho采纳,获得10
12秒前
Hello的应助被Nicho采纳,获得10
12秒前
打打的应助被Nicho采纳,获得30
12秒前
汉堡包的应助被Nicho采纳,获得10
12秒前
科研通AI6.4的应助被Nicho采纳,获得10
12秒前
科研通AI6.2的应助被Nicho采纳,获得10
12秒前
科研通AI6.4的应助被Nicho采纳,获得10
13秒前
科研通AI6.2的应助被Nicho采纳,获得10
13秒前
英俊的铭的应助被Nicho采纳,获得10
13秒前
13秒前
lvlv发布了新的文献求助10
14秒前
15秒前
Amber发布了新的文献求助10
15秒前
我是老大的应助被jiajingru采纳,获得10
16秒前
大学习时代完成签到,获得积分10
20秒前
tjnksy完成签到,获得积分0
22秒前
无花果的应助被胡图图采纳,获得10
24秒前
洁净梦安完成签到 ,获得积分10
27秒前
28秒前
爱听歌的代曼完成签到 ,获得积分10
28秒前
酷波er的应助被阔达的泽洋采纳,获得10
29秒前
30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
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7993025
求助须知:如何正确求助?哪些是违规求助? 9448333
关于积分的说明 21116890
捐赠科研通 7566122
什么是DOI,文献DOI怎么找? 3379007
关于科研通互助平台的介绍 2512756
邀请新用户注册赠送积分活动 2412656