Synergistic Entry of Individual Nanoparticles into Mammalian Cells Driven by Free Energy Decline and Regulated by Their Sizes

内吞作用 纳米颗粒 化学 内吞循环 小泡 纳米技术 材料科学 纳米材料 细胞 细胞膜 生物物理学 生物 生物化学
作者
Yushuang Wei,Haibo Chen,Yuexuan Li,Kejie He,Kai Yang,Hong‐Bo Pang
出处
期刊:ACS Nano [American Chemical Society]
卷期号:16 (4): 5885-5897 被引量:26
标识
DOI:10.1021/acsnano.1c11068
摘要

Cell entry is one of the common prerequisites for nanomaterial applications. Despite extensive studies on a homogeneous group of nanoparticles (NPs), fewer studies have been performed when two or more types of NPs were coadministrated. We previously described a synergistic cell entry process for two heterogeneous groups of NPs, where NPs functionalized with TAT (transactivator of transcription) peptide (T-NPs) stimulate the cellular uptake of coadministered unfunctionalized NPs (bystander NPs, B-NPs). Here, we show that the synergistic cell entry of NPs is driven by free energy decline and depends on B-NP sizes. Simulations showed that when separately placed initially, two NPs first move toward each other instead of initiating cell entry individually. Only T-NP invokes an inward bending of membrane mimicking endocytosis, which attracts the nearby NPs into the same "vesicle". A two-phase free energy decline of the entire system occurred as two NPs get closer until contact, which is likely the thermodynamic driver for synergistic NP coentry. Experimentally, we found that T-NPs increase the apparent affinity of B-NPs to plasma membrane, suggesting that T-NPs help B-NPs "trapped" in the endocytic vesicles. Next, we varied the sizes of B-NPs and found that bystander activity peaks around 50 nm. Simulations also showed that the size of B-NPs influences the free energy decline, and thus the tendency and dynamics of NP coentry. These efforts provide a system to further understand the synergistic cell entry among individual NPs or multiple NP types on a biophysical basis and shed light on the future design of nanostructures for intracellular delivery.
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
理智的疯子完成签到,获得积分10
刚刚
JIANG完成签到,获得积分10
刚刚
shirley完成签到,获得积分10
1秒前
111完成签到,获得积分20
1秒前
vicky完成签到,获得积分20
1秒前
1秒前
2秒前
如意的冰双完成签到 ,获得积分10
2秒前
英俊的铭应助潘森爱科研采纳,获得10
3秒前
司马断秋发布了新的文献求助10
4秒前
年轻寒梅发布了新的文献求助10
4秒前
Hohoy完成签到,获得积分10
4秒前
123完成签到,获得积分10
5秒前
原yuan完成签到,获得积分10
5秒前
吴若雨完成签到 ,获得积分10
6秒前
Orange应助vicky采纳,获得10
6秒前
6秒前
满意白玉发布了新的文献求助10
7秒前
wp发布了新的文献求助10
7秒前
晴天完成签到,获得积分10
8秒前
眼睛大的胡萝卜完成签到,获得积分10
8秒前
8秒前
9秒前
小懒猪完成签到,获得积分10
10秒前
丘比特应助丘山先生采纳,获得10
10秒前
璐璐发布了新的文献求助10
10秒前
12秒前
小鱼完成签到 ,获得积分10
12秒前
12秒前
rin完成签到 ,获得积分20
12秒前
美满念梦完成签到,获得积分10
13秒前
13秒前
albertchan完成签到,获得积分10
13秒前
爆米花应助棠真采纳,获得10
13秒前
14秒前
PPH发布了新的文献求助10
14秒前
SciGPT应助科研通管家采纳,获得10
15秒前
打打应助LJT采纳,获得10
15秒前
所所应助科研通管家采纳,获得10
15秒前
15秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6668024
求助须知:如何正确求助?哪些是违规求助? 8417239
关于积分的说明 17993460
捐赠科研通 5876067
什么是DOI,文献DOI怎么找? 2976728
邀请新用户注册赠送积分活动 1952646
关于科研通互助平台的介绍 1880474