Targeted expression of a designed fusion protein containing BMP2 into the lumen of exosomes

微泡 融合蛋白 外体 细胞生物学 对接(动物) 化学 生物 计算生物学 生物化学 基因 重组DNA 小RNA 医学 护理部
作者
Maryam Noei-Khesht Masjedi,Esmaeil Sadroddiny,Jafar Ai,Saeed Balalaie,Yazdan Asgari
出处
期刊:Biochimica Et Biophysica Acta - General Subjects [Elsevier BV]
卷期号:1868 (1): 130505-130505 被引量:7
标识
DOI:10.1016/j.bbagen.2023.130505
摘要

Exosomes are 30-150 nm membrane vesicles, originating from the endocytic pathway. By acting as natural carriers of biomolecules, they can transfer various materials to recipient cells. Therefore, discovering novel strategies for cargo packaging into exosomes is crucial.The fusion constructs, consisting of protein of interest (BMP2) along with the targeting motif, linkers, tracking proteins, and enzyme cleavage sites, were computationally designed. Following the homology modeling, the best structure was selected and subjected to molecular dynamics (MD) simulation and docking analyses. The fusion protein gene was expressed in the HEK-293LTV cell line. The high-efficiency transfected and transduced cells were screened and their exosomes were isolated. Finally, cell and exosome lysates were evaluated for expression of the fusion protein.A total of 12 constructs with lengths ranging from 483 to 496 were designed. The top three templates, 1REW, 2H5Q, and 2MOF were screened. MD simulation and docking analyses of the structures revealed their stability and functionality. In the protein expression analyses, three bands at sizes of approximately 60, 25, and 12.5 kDa were observed, consistent with the sizes of the complete fusion protein, dimeric, and monomeric BMP2 protein. The presence of a 12.5 kDa band at exosome lysate analysis might suggest that it was loaded and cleaved inside exosomes.In summary, these findings revealed that the proposed idea for cargo sorting within the exosome lumen through incorporating an appropriate cleavage site was effective, thus providing further insight into the potential of exosomes as nano-shuttles bearing therapeutic biomolecules.
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
xiao发布了新的文献求助10
1秒前
烟熏柿子发布了新的文献求助10
1秒前
xx关闭了xx文献求助
1秒前
巴啦啦完成签到,获得积分10
2秒前
2秒前
wei发布了新的文献求助10
2秒前
byw发布了新的文献求助10
2秒前
甜蜜弱发布了新的文献求助10
3秒前
3秒前
3秒前
吴小利完成签到,获得积分10
3秒前
Lilili发布了新的文献求助10
4秒前
4秒前
4秒前
俊逸沛山发布了新的文献求助10
4秒前
4秒前
4秒前
深情安青应助彭栋采纳,获得10
4秒前
4秒前
huchunmei完成签到,获得积分10
4秒前
呱呱小蛙完成签到 ,获得积分10
4秒前
5秒前
镜月发布了新的文献求助10
5秒前
桐桐应助yuyiyi采纳,获得10
6秒前
bkagyin应助又是这个傻子采纳,获得10
6秒前
哎哟哎哟完成签到,获得积分10
7秒前
火火完成签到,获得积分10
7秒前
科研通AI6.3应助武玉蕊采纳,获得10
7秒前
希望天下0贩的0应助indel采纳,获得10
7秒前
7秒前
7秒前
7秒前
7秒前
8秒前
8秒前
8秒前
典雅翅膀完成签到,获得积分10
8秒前
SciGPT应助五十采纳,获得10
8秒前
搜集达人应助霍紫菡采纳,获得10
9秒前
sylnd126发布了新的文献求助10
9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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 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 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 7308287
求助须知:如何正确求助?哪些是违规求助? 8925795
关于积分的说明 18915031
捐赠科研通 6970930
什么是DOI,文献DOI怎么找? 3212719
关于科研通互助平台的介绍 2381337
邀请新用户注册赠送积分活动 2190521