4.2 Article

Deformability-based cell selection with downstream immunofluorescence analysis

Journal

INTEGRATIVE BIOLOGY
Volume 8, Issue 5, Pages 654-664

Publisher

OXFORD UNIV PRESS
DOI: 10.1039/c5ib00284b

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Funding

  1. Janssen Pharmaceuticals, Inc.
  2. Physical Sciences Oncology Center [U54CA143874]
  3. CCNE-T [26697290-47281-A]
  4. Stand Up to Cancer
  5. National Institute of Health P41 Biotechnology Resource Center and Quantum Grant [EB008047]
  6. Koch Institute Support Grant from the National Cancer Institute [P30-CA14051]
  7. NATIONAL CANCER INSTITUTE [P30CA014051, U54CA143874] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [U01EB012493, P41EB002503] Funding Source: NIH RePORTER

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Mechanical properties of single cells have been shown to relate to cell phenotype and malignancy. However, until recently, it has been difficult to directly correlate each cell's biophysical characteristics to its molecular traits. Here, we present a cell sorting technique for use with a suspended microchannel resonator (SMR), which can measure biophysical characteristics of a single cell based on the sensor's record of its buoyant mass as well as its precise position while it traverses through a constricted microfluidic channel. The measurement provides information regarding the amount of time a cell takes to pass through a constriction (passage time), as related to the cell's deformability and surface friction, as well as the particular manner in which it passes through. In the method presented here, cells of interest are determined based on passage time, and are collected off-chip for downstream immunofluorescence imaging. The biophysical single-cell SMR measurement can then be correlated to the molecular expression of the collected cell. This proof-of-principle is demonstrated by sorting and collecting tumor cells from cell line-spiked blood samples as well as a metastatic prostate cancer patient blood sample, identifying them by their surface protein expression and relating them to distinct SMR signal trajectories.

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