4.7 Article

Characterizing cellular mechanical phenotypes with mechano-node-pore sensing

Journal

MICROSYSTEMS & NANOENGINEERING
Volume 4, Issue -, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1038/micronano.2017.91

Keywords

microfluidics; mechanical phenotyping; node-pore sensing; biosensors; label-free

Funding

  1. National Institutes of Health [1R01CA190843-01, 1R21CA182375-01A1, 1R21EB019181-01A1, R01AG040081, DP2 HD080351-01]
  2. Department of Defense Breast Cancer Research Program Era of Hope Scholar Award [BC141351]
  3. Department of Defense Breast Cancer Research Program [W81XWH-10-1-1023, W81XWH-13-1-0221]
  4. Jongsong Foundation
  5. Bakar Fellows Program

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The mechanical properties of cells change with their differentiation, chronological age, and malignant progression. Consequently, these properties may be useful label-free biomarkers of various functional or clinically relevant cell states. Here, we demonstrate mechano-node-pore sensing (mechano-NPS), a multi-parametric single-cell-analysis method that utilizes a four-terminal measurement of the current across a microfluidic channel to quantify simultaneously cell diameter, resistance to compressive deformation, transverse deformation under constant strain, and recovery time after deformation. We define a new parameter, the whole-cell deformability index (wCDI), which provides a quantitative mechanical metric of the resistance to compressive deformation that can be used to discriminate among different cell types. The wCDI and the transverse deformation under constant strain show malignant MCF-7 and A549 cell lines are mechanically distinct from non-malignant, MCF-10A and BEAS-2B cell lines, and distinguishes between cells treated or untreated with cytoskeleton-perturbing small molecules. We categorize cell recovery time, Delta T-r, as instantaneous (Delta T-r similar to 0 ms), transient (Delta T-r <= 40 ms), or prolonged (Delta T-r > 40 ms), and show that the composition of recovery types, which is a consequence of changes in cytoskeletal organization, correlates with cellular transformation. Through the wCDI and cell-recovery time, mechano-NPS discriminates between sub-lineages of normal primary human mammary epithelial cells with accuracy comparable to flow cytometry, but without antibody labeling. Mechano-NPS identifies mechanical phenotypes that distinguishes lineage, chronological age, and stage of malignant progression in human epithelial cells.

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