Cellular Delivery of Impermeable Effector Molecules in the Form of Conjugates with Peptides Capable of Mediating Membrane Translocation

化学 寡核苷酸 效应器 转染 高分子 结合 小分子 生物物理学 膜生物学 生物化学 细胞生物学 生物 基因 数学分析 数学
作者
Peter M. Fischer,Eberhard Krausz,David P. Lane
出处
期刊:Bioconjugate Chemistry [American Chemical Society]
卷期号:12 (6): 825-841 被引量:128
标识
DOI:10.1021/bc0155115
摘要

Most molecules that are not actively imported by living cells are impermeable to cell membranes, including practically all macromolecules and even many small molecules whose physicochemical properties prevent passive membrane diffusion. The use of peptide vectors capable of transporting such molecules into cells in the form of covalent conjugates has become an increasingly attractive solution to this problem. Not only has this technology permitted the study of modulating intracellular target proteins, but it has also gained importance as an alternative to conventional cellular transfection with oligonucleotides. Peptide vectors derived from viral, bacterial, insect, and mammalian proteins endowed with membrane translocation properties have now been proposed as delivery vectors. These are discussed comprehensively and critically in terms of relative utility, applications to compound classes and specific molecules, and relevant conjugation chemistry. Although in most cases the mechanisms of membrane translocation are still unclear, physicochemical studies have been carried out with a number of peptide delivery vectors. Unifying and distinguishing mechanistic features of the various vectors are discussed. Until a few years ago speculations that it might be possible to deliver peptides, proteins, oligonucleotides, and impermeable small molecules with the aid of cellular delivery peptides not only to target cells in vitro, but in vivo, was received with scepticism. However, the first studies showing pharmacological applications of conjugates between macromolecules and peptide delivery vectors are now being reported, and therapies based on such conjugates are beginning to appear feasible.
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
tkx是流氓兔完成签到,获得积分10
刚刚
FashionBoy应助彼方250521采纳,获得10
1秒前
2秒前
SCI完成签到 ,获得积分10
2秒前
英姑应助榴莲姑娘采纳,获得10
4秒前
尹宏林完成签到,获得积分10
5秒前
米奇妙妙屋完成签到,获得积分10
5秒前
6秒前
wrxaa完成签到,获得积分10
6秒前
6秒前
Aoren完成签到,获得积分10
7秒前
7秒前
慕青应助贾cw采纳,获得10
7秒前
小巧的绮完成签到,获得积分10
8秒前
orixero应助ning采纳,获得10
9秒前
Binbin完成签到,获得积分10
9秒前
haihuhu完成签到 ,获得积分10
9秒前
干饭啦完成签到,获得积分10
10秒前
英俊鼠标完成签到 ,获得积分10
10秒前
ln完成签到,获得积分10
10秒前
超级李包包完成签到,获得积分10
11秒前
Baylin发布了新的文献求助10
11秒前
12秒前
汉堡包应助彼方250521采纳,获得10
12秒前
咸鱼打滚发布了新的文献求助10
12秒前
NiaoJiang完成签到,获得积分10
12秒前
13秒前
molihuakai应助cathy采纳,获得10
13秒前
lin完成签到,获得积分10
13秒前
xiaotailan完成签到,获得积分10
13秒前
茶蛋完成签到 ,获得积分10
14秒前
14秒前
大模型应助醉爱星星采纳,获得10
14秒前
15秒前
16秒前
16秒前
17秒前
榴莲姑娘发布了新的文献求助10
18秒前
onlyone发布了新的文献求助10
19秒前
香兰笑完成签到,获得积分20
19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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7635894
求助须知:如何正确求助?哪些是违规求助? 9209819
关于积分的说明 19753688
捐赠科研通 7203675
什么是DOI,文献DOI怎么找? 3275289
关于科研通互助平台的介绍 2437151
邀请新用户注册赠送积分活动 2272405