Microfluidic Size Exclusion Chromatography (μSEC) for Extracellular Vesicles and Plasma Protein Separation.
Sheng Yuan LeongHong Boon OngHui Min TayFang KongMegha UpadyaLingyan GongMing DaoRinkoo DalanHan Wei HouPublished in: Small (Weinheim an der Bergstrasse, Germany) (2022)
Extracellular vesicles (EVs) are recognized as next generation diagnostic biomarkers due to their disease-specific biomolecular cargoes and importance in cell-cell communications. A major bottleneck in EV sample preparation is the inefficient and laborious isolation of nanoscale EVs (≈50-200 nm) from endogenous proteins in biological samples. Herein, a unique microfluidic platform is reported for EV-protein fractionation based on the principle of size exclusion chromatography (SEC). Using a novel rapid (≈20 min) replica molding technique, a fritless microfluidic SEC device (μSEC) is fabricated using thiol-ene polymer (UV glue NOA81, Young's modulus ≈1 GPa) for high pressure (up to 6 bar) sample processing. Controlled on-chip nanoliter sample plug injection (600 nL) using a modified T-junction injector is first demonstrated with rapid flow switching response time (<1.5 s). Device performance is validated using fluorescent nanoparticles (50 nm), albumin, and breast cancer cells (MCF-7)-derived EVs. As a proof-of-concept for clinical applications, EVs are directly isolated from undiluted human platelet-poor plasma using μSEC and show distinct elution profiles between EVs and proteins based on nanoparticle particle analysis (NTA), Western blot and flow cytometry analysis. Overall, the optically transparent μSEC can be readily automated and integrated with EV detection assays for EVs manufacturing and clinical diagnostics.
Keyphrases
- high throughput
- single cell
- breast cancer cells
- circulating tumor cells
- label free
- flow cytometry
- loop mediated isothermal amplification
- mass spectrometry
- high speed
- liquid chromatography
- photodynamic therapy
- cell therapy
- endothelial cells
- molecular dynamics
- south africa
- machine learning
- binding protein
- protein protein
- molecular dynamics simulations
- high resolution
- molecularly imprinted
- ultrasound guided
- bone marrow
- deep learning
- atomic force microscopy
- induced pluripotent stem cells