Sorting of human mesenchymal stem cells by applying optimally designed microfluidic chip filtration

Area of Science:

• Biotechnology
• Regenerative Medicine
• Stem Cell Biology

Background:

• Human bone marrow-derived mesenchymal stem cells (hMSCs) are heterogeneous, with subpopulations exhibiting varying multipotent properties.
• Effective cell-based therapies require isolating specific hMSC subpopulations.

Purpose of the Study:

• To develop and validate a microfluidic chip for sorting hMSCs based on cell size.
• To improve the efficacy of cell-based therapies by enabling precise subpopulation isolation.

Main Methods:

• Utilized hydrodynamic filtration (HDF) principle in a microfluidic chip designed with optimized laminar flow parameters.
• Engineered complex channel networks for sorting hMSCs into small (<25 μm), medium (25-40 μm), and large (>40 μm) subpopulations.
• Employed flow focusing to guide cells towards branch channels for size-based separation.

Main Results:

• Achieved over 86% recovery for each sorted hMSC subpopulation.
• Demonstrated complete purity for the small hMSC subpopulation.
• Confirmed successful fractionation of three hMSC subpopulations via surface marker analysis.

Conclusions:

• The developed microfluidic chip effectively sorts hMSCs into size-defined subpopulations using hydrodynamic filtration.
• This technique offers a rapid and non-damaging method for isolating stem cell subpopulations, advancing cell therapy applications.