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Multi-Module Cassette Tangential Flow Filtration Enables High-Throughput Isolation and Functional Analysis of Small
Xisuo Su1, Xiaoqin Hong1, Jiantong Dong1
1State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Molecular Recognition and Biosensing, Frontiers Science Center for New Organic Matter, College of Chemistry, Nankai University, Tianjin 30071, China.
Analytical Chemistry
|July 11, 2025
Summary
This study introduces a rapid, high-throughput filtration system for isolating small extracellular vesicles (sEVs). The new method efficiently separates sEVs by size, revealing size-dependent biological activities crucial for therapeutic applications.
Area of Science:
- Biotechnology
- Nanomedicine
- Cell Biology
Background:
- Small extracellular vesicles (sEVs) are key biomarkers and therapeutic agents, but their isolation is challenging.
- Conventional methods like ultracentrifugation (UC) are slow, low-throughput, and cannot separate sEV subpopulations by size.
Purpose of the Study:
- To develop a high-throughput, rapid isolation platform for sEVs.
- To enable size-based fractionation of sEVs for functional analysis.
- To investigate the size-dependent biological activities of mesenchymal stem cell-derived sEVs (MSC-sEVs).
Main Methods:
- Development of a cassette-based tangential flow filtration (CTFF) system with membrane encapsulation.
- Implementation of a multimodule CTFF (MM-CTFF) for sEV size fractionation.
- Processing of 2 L conditioned medium in approximately 25 minutes for sEV isolation.
Main Results:
- The CTFF system achieved a 3-fold reduction in processing time compared to UC.
- The MM-CTFF system successfully fractionated sEVs into distinct size-based subpopulations.
- Functional assays demonstrated size-dependent cellular uptake, proliferation, and migration of MSC-sEVs.
Conclusions:
- The CTFF platform offers efficient and scalable sEV isolation for research and clinical translation.
- Size-based fractionation reveals functional heterogeneity in MSC-sEVs.
- This technology supports the development of size-specific sEV-based therapeutic and diagnostic strategies.
