Optimized Tangential Flow Filtration for Efficient Isolation of Highly Pure and Bioactive sEVs

化学 分离(微生物学) 过滤(数学) 色谱法 流量(数学) 生化工程 机械 微生物学 统计 数学 生物 物理 工程类
作者
Lei Luo,Yuhang Du,Xin Niu,Jiashuo Liu,Ji Yuan,Hong Xu,Yang Wang,Haiyan Li,Qing Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (31): 17261-17274 被引量:9
标识
DOI:10.1021/acs.analchem.5c03781
摘要

Small extracellular vesicles (sEVs) have demonstrated significant therapeutic potential. However, the lack of efficient and scalable methods for sEV separation remains a critical barrier to their large-scale production as therapeutic agents. Tangential flow filtration (TFF) has emerged as a promising technique for large-scale sEV separation, but the absence of comprehensive and systematic studies makes it challenging to determine optimal TFF parameters for sEV isolation. In this study, we investigated the effects of key TFF parameters, including shear stress, molecular weight cutoff (MWCO), transmembrane pressure (TMP), and washing-filtration cycles, on sEVs separation and impurity removal. We evaluated particle concentration, size distribution, morphology, chemical properties, fluorescence, and protein content to assess the impact of these parameters. The results revealed that excessive shear stress (>9.05 Pa) during TFF led to protein aggregation and sEV damage. Using a filter membrane with an MWCO of 750 kDa and maintaining TMP between 3 and 5 psi prevented sEV leakage and achieved moderately high filtration efficiency. Based on these findings, optimal TFF parameters were identified. sEVs isolated using optimized TFF conditions (TFF-sEVs) were then compared with sEVs isolated via ultracentrifugation (UC-sEVs). TFF-sEVs exhibited comparable physical properties and purity to UC-sEVs but demonstrated superior proliferation-promoting activity and a 3-fold higher recovery rate. Quantitative proteomic analysis revealed that TFF-sEVs were enriched with extracellular vesicle membrane proteins and corona proteins, contributing to their enhanced bioactivity. In summary, optimizing TFF parameters enables efficient purification of sEVs, balancing purity, recovery, and bioactivity, paving the way for scalable production of sEVs and accelerating the clinical translation of sEV-based therapeutics.
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
1秒前
LiuZhaoYuan完成签到,获得积分10
1秒前
1秒前
鲜艳的仙人掌完成签到,获得积分10
1秒前
1秒前
1秒前
kylin发布了新的文献求助30
1秒前
万能图书馆应助clean采纳,获得10
1秒前
2秒前
大模型应助qpisuo采纳,获得10
2秒前
2秒前
无聊发布了新的文献求助10
2秒前
热心芹菜完成签到,获得积分10
3秒前
QQ完成签到,获得积分10
3秒前
优美世倌完成签到,获得积分10
3秒前
科目三应助大小子采纳,获得30
3秒前
Orange应助1个航子采纳,获得10
3秒前
内向三娘发布了新的文献求助10
3秒前
3秒前
称心银耳汤完成签到 ,获得积分10
4秒前
张睿发布了新的文献求助10
4秒前
张坤完成签到,获得积分10
4秒前
Peggie发布了新的文献求助10
4秒前
5秒前
5秒前
戚薇完成签到,获得积分20
5秒前
所所应助早睡早起采纳,获得10
5秒前
5秒前
香蕉觅云应助尘尘笑采纳,获得30
6秒前
Angora完成签到,获得积分10
6秒前
CipherSage应助无忧采纳,获得10
6秒前
6秒前
6秒前
6秒前
默默以莲发布了新的文献求助10
7秒前
观澜完成签到,获得积分10
7秒前
7秒前
刘苏琪完成签到,获得积分10
7秒前
Jolin完成签到,获得积分10
7秒前
cfyoung发布了新的文献求助10
7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
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 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 7659635
求助须知:如何正确求助?哪些是违规求助? 9230129
关于积分的说明 19844990
捐赠科研通 7227458
什么是DOI,文献DOI怎么找? 3281437
关于科研通互助平台的介绍 2441222
邀请新用户注册赠送积分活动 2281701