Design of novel chiral self-assembling peptides to explore the efficiency and mechanism of mRNA-FIPV vaccine delivery vehicles

机制(生物学) 化学 纳米技术 物理 材料科学 量子力学
作者
Na Lu,Zhaoxu Li,Di Su,Jialei Chen,Jiawei Zhao,Yu Gao,Qichen Liu,Guicen Liu,Xinyi Luo,Ruyue Luo,Xiaoyan Deng,Hui‐Fang Zhu,Zhongli Luo
出处
期刊:International Journal of Pharmaceutics [Elsevier]
卷期号:660: 124344-124344
标识
DOI:10.1016/j.ijpharm.2024.124344
摘要

The enhancement of conventional liposome and lipid nanoparticle (LNP) methodologies in the formulation and deployment of messenger RNA (mRNA) vaccines necessitates further refinement to augment both their effectiveness and biosafety profiles. Additionally, researching these innovative delivery carrier materials represents both a prominent focus and a significant challenge in the current scientific landscape. Here we designed new chiral self-assembling peptides as the delivery carrier for RNA vaccines to study the underlying mechanisms in the feline infectious peritonitis virus (FIPV) model system. Firstly, we successfully transcribed mature enhanced green fluorescent protein (EGFP) mRNA and feline infectious peritonitis virus nucleocapsid (FIPV N) mRNA in vitro from optimized vectors. Subsequently, we developed chiral self-assembling peptide-1 (CSP-1) and chiral self-assembling peptide-2 (CSP-2) peptides, taking into account the physical and chemical characteristics of nucleic acid molecules as well as the principles of self-assembling peptides, with the aim of improving the delivery efficiency of mRNA molecule complexes. We determined the optimal coating ratio between CSP and mRNA by electrophoretic mobility shift assay. We found that the peptides and mRNA complexes can protect the mRNA from RNase A enzyme and efficiently deliver mRNA into cells for target antigen proteins expression. Animal experiments confirmed that CSP-1/mRNA complex can effectively trigger immune response mechanisms involving IFN-γ and T cell activation. It can also stimulate CD4
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
郝富完成签到,获得积分0
1秒前
ccm发布了新的文献求助10
1秒前
Chocolate发布了新的文献求助10
1秒前
新手菜鸟发布了新的文献求助10
3秒前
顾矜应助Sy采纳,获得10
3秒前
淡然立果发布了新的文献求助10
5秒前
杨佳霖发布了新的文献求助10
6秒前
情怀应助雪雪采纳,获得20
7秒前
8秒前
浮游应助牛马小白采纳,获得10
9秒前
9秒前
10秒前
故意的驳发布了新的文献求助10
10秒前
李爱国应助刘海杨采纳,获得10
10秒前
ijcai完成签到 ,获得积分10
10秒前
饱满服饰发布了新的文献求助10
11秒前
12秒前
Chocolate完成签到,获得积分10
13秒前
小谷发布了新的文献求助10
13秒前
14秒前
ccm发布了新的文献求助10
16秒前
丘比特应助cherish采纳,获得10
17秒前
17秒前
18秒前
111完成签到 ,获得积分10
19秒前
21秒前
刘海杨发布了新的文献求助10
22秒前
浮游应助饱满服饰采纳,获得10
23秒前
大聪明应助饱满服饰采纳,获得10
23秒前
科研通AI6应助9527King采纳,获得10
23秒前
hhhhhh完成签到,获得积分10
23秒前
23秒前
如意的书文完成签到,获得积分10
24秒前
ShiyuZuo完成签到,获得积分10
24秒前
初衷未央发布了新的文献求助10
25秒前
25秒前
默默发布了新的文献求助10
27秒前
28秒前
ccm发布了新的文献求助10
29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
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 2000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
茶艺师试题库(初级、中级、高级、技师、高级技师) 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Vertebrate Palaeontology, 5th Edition 570
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5360281
求助须知:如何正确求助?哪些是违规求助? 4490974
关于积分的说明 13980731
捐赠科研通 4393548
什么是DOI,文献DOI怎么找? 2413487
邀请新用户注册赠送积分活动 1406306
关于科研通互助平台的介绍 1380773