A scalable label-free approach to separate human pluripotent cells from differentiated derivatives

Henry Bock, Nicholas Willoughby, Marieke Hoeve, Steve Pells, Craig Williams, Gordon McPhee, Paz Freile, Debaditya Choudhury, Paul De Sousa

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
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The broad capacity of pluripotent human embryonic stem cells (hESC) to grow and differentiate demands the development of rapid, scalable, and label-free methods to separate living cell populations for clinical and industrial applications. Here, we identify differences in cell stiffness, expressed as cell elastic modulus (CEM), for hESC versus mesenchymal progenitors, osteoblast-like derivatives, and fibroblasts using atomic force microscopy and data processing algorithms to characterize the stiffness of cell populations. Undifferentiated hESC exhibited a range of CEMs whose median was nearly three-fold lower than those of differentiated cells, information we exploited to develop a label-free separation device based on the principles of tangential flow filtration. To test the device's utility, we segregated hESC mixed with fibroblasts and hESC-mesenchymal progenitors induced to undergo osteogenic differentiation. The device permitted a throughput of 10^6–10^7cells per min and up to 50% removal of specific cell types per single pass. The level of enrichment and depletion of soft, pluripotent hESC in the respective channels was found to rise with increasing stiffness of the differentiating cells, suggesting CEM can serve as a major discriminator. Our results demonstrate the principle of a scalable, label-free, solution for separation of heterogeneous cell populations deriving from human pluripotent stem cells.
Original languageEnglish
Article number014107
Number of pages16
Publication statusPublished - Jan 2016


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