Deformability-based cell selection with downstream immunofluorescence analysis.

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.

[1]  J. Bacri,et al.  Rotational magnetic endosome microrheology: viscoelastic architecture inside living cells. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Falk Wottawah,et al.  Oral cancer diagnosis by mechanical phenotyping. , 2009, Cancer research.

[3]  Subra Suresh,et al.  Measuring single-cell density , 2011, Proceedings of the National Academy of Sciences.

[4]  Mehmet Toner,et al.  Inertial Focusing for Tumor Antigen–Dependent and –Independent Sorting of Rare Circulating Tumor Cells , 2013, Science Translational Medicine.

[5]  K. Isselbacher,et al.  Isolation of circulating tumor cells using a microvortex-generating herringbone-chip , 2010, Proceedings of the National Academy of Sciences.

[6]  G. Whyte,et al.  A monolithic glass chip for active single-cell sorting based on mechanical phenotyping. , 2015, Lab on a chip.

[7]  O. Hansen,et al.  Mass and position determination of attached particles on cantilever based mass sensors. , 2007, The Review of scientific instruments.

[8]  D. Wirtz,et al.  Mechanics of living cells measured by laser tracking microrheology. , 2000, Biophysical journal.

[9]  Stefan Schinkinger,et al.  Deformability‐based flow cytometry , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[10]  K. Jacobson,et al.  Local measurements of viscoelastic parameters of adherent cell surfaces by magnetic bead microrheometry. , 1998, Biophysical journal.

[11]  Dino Di Carlo,et al.  Hydrodynamic stretching of single cells for large population mechanical phenotyping , 2012, Proceedings of the National Academy of Sciences.

[12]  H. Amini,et al.  Label-free cell separation and sorting in microfluidic systems , 2010, Analytical and bioanalytical chemistry.

[13]  Nicole K Henderson-Maclennan,et al.  Deformability-based cell classification and enrichment using inertial microfluidics. , 2011, Lab on a chip.

[14]  F. Guilak,et al.  Immunofluorescence-guided atomic force microscopy to measure the micromechanical properties of the pericellular matrix of porcine articular cartilage , 2012, Journal of The Royal Society Interface.

[15]  Stefan Schinkinger,et al.  Quantifying the contribution of actin networks to the elastic strength of fibroblasts. , 2006, Journal of theoretical biology.

[16]  J. Käs,et al.  The optical stretcher: a novel laser tool to micromanipulate cells. , 2001, Biophysical journal.

[17]  S. Manalis,et al.  Deformability of Tumor Cells versus Blood Cells , 2015, Scientific Reports.

[18]  Stefan Schinkinger,et al.  Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence. , 2005, Biophysical journal.

[19]  N. Altorki,et al.  TGF-β IL-6 axis mediates selective and adaptive mechanisms of resistance to molecular targeted therapy in lung cancer , 2010, Proceedings of the National Academy of Sciences.

[20]  Nathan Cermak,et al.  Characterizing deformability and surface friction of cancer cells , 2013, Proceedings of the National Academy of Sciences.

[21]  U. Keyser,et al.  Real-time deformability cytometry: on-the-fly cell mechanical phenotyping , 2015, Nature Methods.

[22]  J. Rao,et al.  Nanomechanical analysis of cells from cancer patients. , 2007, Nature nanotechnology.

[23]  C. Lim,et al.  Deformability study of breast cancer cells using microfluidics , 2009, Biomedical microdevices.

[24]  Yiider Tseng,et al.  Micromechanical mapping of live cells by multiple-particle-tracking microrheology. , 2002, Biophysical journal.

[25]  Han Wei Hou,et al.  Deformability based cell margination--a simple microfluidic design for malaria-infected erythrocyte separation. , 2010, Lab on a chip.

[26]  E. Evans,et al.  Apparent viscosity and cortical tension of blood granulocytes determined by micropipet aspiration. , 1989, Biophysical journal.

[27]  Jason P Beech,et al.  Sorting cells by size, shape and deformability. , 2012, Lab on a chip.

[28]  H. Hansma,et al.  Biomolecular imaging with the atomic force microscope. , 1994, Annual review of biophysics and biomolecular structure.

[29]  K. Schütze,et al.  Isolation by size of epithelial tumor cells : a new method for the immunomorphological and molecular characterization of circulatingtumor cells. , 2000, The American journal of pathology.

[30]  R. Hochmuth,et al.  Micropipette aspiration of living cells. , 2000, Journal of biomechanics.

[31]  C. Lim,et al.  Isolation and retrieval of circulating tumor cells using centrifugal forces , 2013, Scientific Reports.

[32]  Lidong Qin,et al.  Microfluidics separation reveals the stem-cell–like deformability of tumor-initiating cells , 2012, Proceedings of the National Academy of Sciences.

[33]  Richard Superfine,et al.  Mechanical stiffness grades metastatic potential in patient tumor cells and in cancer cell lines. , 2011, Cancer research.

[34]  Subra Suresh,et al.  A microfabricated deformability-based flow cytometer with application to malaria. , 2011, Lab on a chip.

[35]  Eugene J. Lim,et al.  Microfluidic, marker-free isolation of circulating tumor cells from blood samples , 2014, Nature Protocols.

[36]  W. Brownell,et al.  Fluorescence-Imaged Microdeformation of the Outer Hair Cell Lateral Wall , 1998, The Journal of Neuroscience.

[37]  Ian M Thompson,et al.  Nanomechanical biomarkers of single circulating tumor cells for detection of castration resistant prostate cancer , 2014, The Prostate.

[38]  H. Haga,et al.  Elasticity mapping of living fibroblasts by AFM and immunofluorescence observation of the cytoskeleton. , 2000, Ultramicroscopy.

[39]  Jeffrey J. Fredberg,et al.  Cytoskeletal stiffness, friction, and fluidity of cancer cell lines with different metastatic potential , 2012, Clinical & Experimental Metastasis.

[40]  Rajan P Kulkarni,et al.  Size-selective collection of circulating tumor cells using Vortex technology. , 2014, Lab on a chip.

[41]  D E Ingber,et al.  Mechanotransduction across the cell surface and through the cytoskeleton. , 1993, Science.

[42]  Yu Sun,et al.  High-throughput biophysical measurement of human red blood cells. , 2012, Lab on a chip.

[43]  Daniel A Fletcher,et al.  Analyzing cell mechanics in hematologic diseases with microfluidic biophysical flow cytometry. , 2008, Lab on a chip.

[44]  G. Hampton,et al.  DNA Methylation Profiling Defines Clinically Relevant Biological Subsets of Non–Small Cell Lung Cancer , 2012, Clinical Cancer Research.

[45]  I. Thompson,et al.  Single‐cell analysis of circulating tumor cells identifies cumulative expression patterns of EMT‐related genes in metastatic prostate cancer , 2013, The Prostate.

[46]  S. Manalis,et al.  Weighing of biomolecules, single cells and single nanoparticles in fluid , 2007, Nature.

[47]  Manfred Radmacher,et al.  Measuring the elastic properties of living cells by the atomic force microscope. , 2002, Methods in cell biology.

[48]  Jochen Guck,et al.  Viscoelastic Properties of Differentiating Blood Cells Are Fate- and Function-Dependent , 2012, PloS one.

[49]  Yo Sup Moon,et al.  Quantitative Diagnosis of Malignant Pleural Effusions by Single-Cell Mechanophenotyping , 2013, Science Translational Medicine.

[50]  Byungkyu Kim,et al.  Cell Stiffness Is a Biomarker of the Metastatic Potential of Ovarian Cancer Cells , 2012, PloS one.

[51]  Sungmin Son,et al.  Direct observation of mammalian cell growth and size regulation , 2012, Nature Methods.