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Microfluidic platform for the quantitative analysis of leukocyte migration signatures

Author

Listed:
  • Leo Boneschansker

    (Boston Children’s Hospital
    Harvard Medical School
    BioMEMS Resource Center, Massachusetts General Hospital, Harvard Medical School, Shriners Hospitals for Children)

  • Jun Yan

    (BioMEMS Resource Center, Massachusetts General Hospital, Harvard Medical School, Shriners Hospitals for Children)

  • Elisabeth Wong

    (BioMEMS Resource Center, Massachusetts General Hospital, Harvard Medical School, Shriners Hospitals for Children)

  • David M. Briscoe

    (Boston Children’s Hospital
    Harvard Medical School)

  • Daniel Irimia

    (BioMEMS Resource Center, Massachusetts General Hospital, Harvard Medical School, Shriners Hospitals for Children)

Abstract

Leukocyte migration into tissues is characteristic of inflammation. It is usually measured in vitro as the average displacement of populations of cells towards a chemokine gradient, not acknowledging other patterns of cell migration. Here, we designed and validated a microfluidic migration platform to simultaneously analyse four qualitative migration patterns: chemoattraction, -repulsion, -kinesis and -inhibition, using single-cell quantitative metrics of direction, speed, persistence and fraction of cells responding. We find that established chemokines, complement component 5a and IL-8 induce chemoattraction and repulsion in equal proportions, resulting in the dispersal of cells. These migration signatures are characterized by high persistence and speed and are independent of the chemokine dose or receptor expression. Furthermore, we find that twice as many T lymphocytes migrate away than towards stromal cell-derived factor 1 and their directional migration patterns are not persistent. Overall, our platform helps discover migratory signature responses and uncovers an avenue for precise characterization of leukocyte migration and therapeutic modulators.

Suggested Citation

  • Leo Boneschansker & Jun Yan & Elisabeth Wong & David M. Briscoe & Daniel Irimia, 2014. "Microfluidic platform for the quantitative analysis of leukocyte migration signatures," Nature Communications, Nature, vol. 5(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5787
    DOI: 10.1038/ncomms5787
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    Cited by:

    1. Shu Fan Zhou & Singaram Gopalakrishnan & Yuan Hao Xu & Jie Yang & Yun Wah Lam & Stella W Pang, 2016. "A Unidirectional Cell Switching Gate by Engineering Grating Length and Bending Angle," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.

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