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Issue 7, 2018
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Label-free mesenchymal stem cell enrichment from bone marrow samples by inertial microfluidics

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Abstract

Isolation of pure populations of mesenchymal stem cells from bone marrow aspirate is a critical need in regenerative medicine such as orthopedic and cartilage reconstruction with important clinical and therapeutic implications. Currently available stem cell isolation systems mainly rely on intrusive immuno-labeling techniques. Mesenchymal stem cells in bone marrow samples are typically larger than other cells, which can be used as a distinctive biophysical cue for non-invasive isolation. In this work, a spiral-shaped inertial microfluidic sorter was developed to isolate mesenchymal stem cells from mouse bone marrow samples with minimal sample preparation steps. To characterize the sorting performance, cultured mesenchymal stem cells were spiked into tissue-digested mouse bone marrow cells. At a flow rate of 1.6 mL min−1, an average enrichment of 6.0× and a recovery of 73% were demonstrated. About 3 × 106 tissue-digested bone marrow cells can be processed in 1 minute with a single microfluidic run. The recovered mesenchymal stem cells after microfluidic sorting retained high (>95%) viability and similar immuno-phenotype expressions and multi-potencies in tri-differentiation lineages to unprocessed cells. This rapid, label-free and non-invasive inertial microfluidic sorter has practical applications in target stem cell enrichment in stem cell therapy.

Graphical abstract: Label-free mesenchymal stem cell enrichment from bone marrow samples by inertial microfluidics

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Publication details

The article was received on 24 Oct 2017, accepted on 08 Jan 2018 and first published on 09 Jan 2018


Article type: Paper
DOI: 10.1039/C7AY02500A
Citation: Anal. Methods, 2018,10, 713-721
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    Label-free mesenchymal stem cell enrichment from bone marrow samples by inertial microfluidics

    L. M. Lee, Jenna M. Rosano, Y. Wang, G. J. Klarmann, C. J. Garson, B. Prabhakarpandian, K. Pant, L. M. Alvarez and E. Lai, Anal. Methods, 2018, 10, 713
    DOI: 10.1039/C7AY02500A

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