Abstract
As label-free biomarkers, biophysical properties of cells are widely used for cell type classification. However, intrinsic biophysical markers, e.g., specific membrane capacitance (Cspecific membrane), cytoplasm conductivity (σconductivity) and instantaneous Young’s modulus (Einstantaneous) measured for hundreds of single cells were not yet reported. In this study, single cells in suspension (adherent cells treated with trypsin) were aspirated through a microfluidic constriction channel at 25 °C, and the entry processes and impedance profiles were recorded and translated to Cspecific membrane, σconductivity and Einstantaneous. Cspecific membrane, σconductivity and Einstantaneous of five cell types were quantified as 2.10±0.38 μF cm−2, 0.91±0.15 S m−1 and 5.52±0.95 kPa for H460 cells (ncell=437); 2.52±0.54 μF cm−2, 0.83±0.12 S m−1 and 5.54±1.04 kPa for H446 cells (ncell=410); 2.45±0.57 μF cm−2, 0.99±0.18 S m−1 and 5.16±1.68 kPa for A549 cells (ncell=442); 1.86±0.31 μF cm−2, 1.07±0.18 S m−1 and 3.86±0.81 kPa for 95D cells (ncell=415); 2.03±0.35 μF cm−2, 0.99±0.16 S m−1 and 3.49±0.70 kPa for 95C cells (ncell=290). The database of Cspecific membrane, σconductivity and Einstantaneous may serve as a reference for future studies of cellular biophysical properties.
Design Type(s) | cell type comparison design |
Measurement Type(s) | Biophysical Chemistry |
Technology Type(s) | microfluidics platform |
Factor Type(s) | cancer cell line |
Sample Characteristic(s) | H460 cell • H446 cell • A549 cell • 95D cell • 95C cell |
Machine-accessible metadata file describing the reported data (ISA-Tab format)
Similar content being viewed by others
Background & Summary
Biophysical properties of single cells include electrical parameters such as specific membrane capacitance (Cspecific membrane, i.e., capacitance per unit area for the cell membrane modelled as a capacitor) and cytoplasm conductivity (σconductivity, i.e., the reciprocal of electrical resistivity or specific electrical resistance for the cytoplasm modelled as a resistor) as well as mechanical parameters such as instantaneous Young’s modulus (Einstantaneous, which describes the initial elastic response of a cell, modelled as an incompressible viscoelastic solid, in response to mechanical forces), which are indicators of the status of cytoskeletons and cellular membranes1. Variations in cellular biophysical properties are closely related to physiological and pathological processes, examples including (1) red blood cells infected by malaria; (2) tumour cells during migration and evasion; (3) leukocytes affected by sepsis; and (4) stem cells undergoing differentiation2,3.
Conventional techniques for characterizing the electrical properties of cells include patch clamping, electrorotation and dielectrophoresis4–7. On the other hand, atomic force microscopy, micropipette aspiration and optical tweezers have been used for characterizing the mechanical properties of cells8–12. Although well established, these approaches suffer from limited throughput (~1 cell per minute). In addition, they are not capable of measuring cellular electrical and mechanical properties simultaneously1. Therefore, data recording Cspecific membrane, σconductivity and Einstantaneous for multiple cell types (hundreds of cells for each cell type) are currently not available in the literature.
Microfluidics is an area focusing on processing small amounts of fluids at the nanoliter to picoliter scale using microfabricated channels with dimensions of tens of micrometers13–15. The micrometer dimension is comparable to biological cells, and thus microfluidics is well suited for single-cell analysis16,17. More specifically, advances in microfluidic technology have enabled high-throughput characterization of the biophysical properties of single cells, e.g., through impedance flow cytometry, microfluidic optical stretchers and microfluidic hydrodynamic stretchers1,8,18. Although powerful, these previously reported microfluidics-based approaches only reported electrical (e.g., impedance flow cytometry) or mechanical (e.g., microfluidic optical stretchers and hydrodynamic stretchers) properties of single cells separately, without demonstrating simultaneous characterization of cellular electrical and mechanical properties.
Microfluidic approaches that enable simultaneous characterization of electrical and mechanical properties of single cells have also been developed, specifically through (1) microcantilever-based electrodes19, (2) electrodeformation20, (3) micropipette aspiration with impedance spectroscopy21, or (4) constriction channels with impedance spectroscopy22. The first three approaches are limited by their low throughput, and thus cannot be used to collect data from hundreds of single cells. In the fourth approach, cells in suspension were aspirated through a constriction channel (with a width and a height that are smaller than the cell diameter) continuously. The deformation and impedance profiles of individual cells as they enter and travel through the constriction channel were recorded as mechanical and electrical signals, respectively, with an estimated throughput of 1 cell per second.
Based on custom-developed electromechanical models, these raw biophysical signals obtained from constriction channels with impedance spectroscopy were then translated to size-independent intrinsic biophysical markers including Cspecific membrane, σconductivity and Einstantaneous23–25, enabling the classification of tumour cells with different malignant levels26. However, as proof-of-concept demonstrations, only a limited number of cell types were examined with small populations for each cell type24.
In this study, based on the aforementioned approach, Cspecific membrane, σconductivity and Einstantaneous from five types of tumour cells and hundreds of single cells for each cell type were quantified and reported. This study provides a preliminary database for cellular Cspecific membrane, σconductivity and Einstantaneous, which may serve as a reference for future studies on characterizing and classifying biological cells based on cellular biophysical properties.
Methods
Working flowchart
The working flowchart for characterizing Cspecific membrane, σconductivity and Einstantaneous includes four key steps: device fabrication, cell preparation, device operation and data processing (see Fig. 1). During operation, cells in suspension were aspirated into the microfluidic constriction channels with the deformation and impedance profiles of the cells recorded by a high-speed camera and an impedance analyser, respectively. Raw biophysical data were obtained by processing the images and impedance data captured in experiments, which were then translated to Cspecific membrane, σconductivity and Einstantaneous, based on a theoretical electrical model for a cell traveling within the constriction channel and a numerical mechanical model capturing the deformation of a cell when it enters the constriction channel, respectively. The key steps were summarized as follows. The detailed procedures have been reported in a previous publication24.
Device fabrication
The microfluidic device consists of a constriction channel (a cross sectional area of 10 μm×10 μm) in polydimethylsiloxane (PDMS) elastomer (Dow Corning Corp., Midland, MI, USA) which was replicated from a SU-8 (MicroChem Corp., Newton, MA, USA) mould master (see Fig. 1a).
Briefly, SU-8 5 was spun coated, prebaked and exposed without development and post exposure bake to form the layer of the constriction channel (10 μm in height). Then SU-8 25 was spin coated on top of the first SU-8 layer, exposed with alignment and developed, forming the cell loading channel with a height of 25 μm. PDMS precursor and curing agents (10:1 in weight) were mixed, poured on channel masters and baked for crosslinking. PDMS channels were then peeled away from the SU-8 masters, punched to form through holes as inlets and outlets, and bonded to glass slides after plasma treatment.
Cell preparation
All cell-culture reagents were purchased from Life Technologies Corporation (Carlsbad, CA, USA). The lung cancer cell lines of H460, H446, A549, 95D and 95C (China Infrastructure of Cell Line Resources, Beijing, China) were cultured at 37 °C in 5% CO2 in RPMI 1640 medium (11875) supplemented with 10% heat-inactivated fetal bovine serum (10099), 100 units ml−1 penicillin and 100 μg ml−1 streptomycin (15140). Immediately prior to an experiment, cells were trypsinized (25200, 0.25% for 3 min) to form a solution of cell suspension at a concentration of 1×106 cells ml−1 (see Fig. 1b).
Device operation
During operation the device was first filled with culture medium and and a pipette was used to transfer the cell suspension solution to the entrance of the cell loading channel. A pressure calibrator (DPI-610 pressure calibrator, Druck, Billerica, MA, USA) was used to generate a negative pressure (0.5–1.2 kPa), aspirating cells continuously through the constriction channel with silver wires inserted into the inlet and the outlet of the device for impedance profile recording (see Fig. 1c).
An inverted microscope (IX71, Olympus Inc., Tokyo, Japan) in connection with a high-speed camera (M320S, Phantom Inc., Bublin, OH, USA) was used to capture the process of cellular entry and travelling in the constriction channel at 200 frames per second. Impedance data at both 1 and 100 kHz was measured by a lock-in amplifier (7270, Signal Recovery, Oak Ridge, TN, USA) with a sampling rate of 25 points per second. All the characterization experiments were conducted within 30 min trypsinization of the cells at the room temperature (25 °C).
Data processing
At the stage when a cell enters the constriction channel, two preliminary parameters were quantified based on image processing: Linstantaneous as the aspiration length when a cell instantaneously jumps into the channel and Ltransitional as the aspiration length at the point where the creep deformation of the cell ends (see Fig. 1d)25. During the stage when the cell is travelling within the constriction channel, the impedance profiles and images of the elongated cell were analysed which produced three preliminary parameters: A1 kHz and A100 kHz, i.e., the ratios between the impedance amplitudes with and without a travelling cell at 1 and 100 kHz, respectively, as well as Lelongation, i.e., aspiration length of the cell when travelling within the constriction channel (see Fig. 1d)23.
A theoretical model23 was previously developed to model the electrical response of a cell as it is traveling within the constriction channel, thereby enabling the conversion of the measured A1 kHz, A100 kHz and Lelongation to Cspecific membrane and σconductivity as size-independent intrinsic electrical markers for single cells. Briefly, the electrical response of a cell was represented by Rcytoplasm and Cmembrane in series where Rleak indicated sealing properties during the cellular travelling process in the constriction channel. Rleak was derived from impedance data at 1 kHz (A1 kHz) and Cmembrane and Rcytoplasm were derived from impedance at 100 kHz (A100 kHz), respectively, which, were further translated to Cspecific membrane and σcytoplasm based on geometrical information of the constriction channel (see Fig. 1e). Note that in this study, the lumped electrical model was used for data interpretation where the membrane portion was represented by Cmembrane and the cytoplasm portion was represented by Rcytoplasm, which, to an extent, neglects the potential effects of ion channels in the cell membrane and the membranes of cytosolic organelles in cytoplasm. Future studies may develop more accurate cellular electrical models.
On the other hand, a numerical mechanical model25 was developed to model the cell deformation as it enters the constriction channel, where the channel walls were modelled as rigid surfaces and the cell was modelled as an incompressible viscoelastic solid. The key mechanical parameter to be extracted was Einstantaneous. Based on numerical simulations, the relationships between Linstantaneous, Ltransitional and Einstantaneous were obtained as follows:
where Dchannel represents channel geometrical information, ƒc represents the friction on cell-wall interfaces and Paspiration represents pressure applied to aspirate cells into the constriction channel (see Fig. 1f). The two unknown parameters, i.e., Einstantaneous and ƒc, were solved from these two equations since all the other parameters can be measured from experiments.
Data Records
Raw impedance and image data of five cell types are available at Dryad repository (Data Citation 1, Raw Impedance and Image Data of Single Tumour Cells). The file is an Excel composed of five sheets named after five cell lines of H460, H446, A549, 95D and 95C, respectively. In each sheet of a specific cell type, the first row is the cell number and within each cell number, there are seven columns which are time (collected from impedance analyser), amplitude at 1 kHz, phase at 1 kHz, amplitude at 100 kHz, phase at 100 kHz, time (collected from high-speed camera) and aspiration length.
Cspecific membrane, σconductivity and Einstantaneous of five cell types are available at Dryad repository (Data Citation 1, Biophysical Properties of Single Tumour Cells). The file is an Excel composed of five sheets named after five cell lines of H460, H446, A549, 95D and 95C, respectively. In each sheet of a specific cell type, there are nine columns which are cell number (column A), A1 kHz (column B), A100 kHz (column C), Linstantaneous (column D), Ltransitional (column E), Lelongation (column F), Cspecific membrane (column G), σconductivity (column H) and Einstantaneous (column I). In this file, each row represents the biophysical parameters of a specific cell, including A1 kHz, A100 kHz, Linstantaneous, Ltransitional, Lelongation, Cspecific membrane, σconductivity and Einstantaneous.
Technical Validation
Figure 2 shows a sequence of microscopic images (a–d), showing the entry process into the constriction channel for a single cell. In addition, the impedance data for the same cell was shown in Fig. 2e and the aspiration length as a function of time was obtained by image processing and shown in Fig. 2f. The detailed data for individual cells are included in (Data Citation 1, Raw Impedance and Image Data of Single Tumour Cells).
Based on the processing of impedance profiles and image processing, five preliminary biophysical markers of A1 kHz, A100 kHz, Linstantaneous, Ltransitional, and Lelongation were obtained. When the cell entered the constriction channel, an instantaneous jump into the constriction channel was initially observed (see Fig. 2a), enabling the quantification of Linstantaneous in Fig. 2e. Then, a gradual increase in aspiration length (see Fig. 2b,e) was observed due to viscoelastic creep. The creep deformation ended when Ltransitional was reached (see Fig. 2c,e). Figure 2d shows an image of the cell travelling within the constriction channel where Lelongation was quantified. Furthermore, impedance ratios at A1 kHz and A100 kHz were also quantified during the cellular travelling process in the constriction channel (see Fig. 2e). The averages and standard deviations of five preliminary biophysical markers (A1 kHz, A100 kHz, Linstantaneous, Ltransitional and Lelongation) for five types of tumour cells were summarized in Table 1. The detailed data for individual cells are included in (Data Citation 1, Biophysical Properties of Single Tumour Cells).
Figure 3a–e show the distributions of Cspecific membrane, σconductivity and Einstantaneous for five types of tumour cells, respectively. For each type of tumour cells, the scatter plots of (i) Cspecific membrane versus Dcell, (ii) σconductivity versus Dcell, (iii) Einstantaneous versus Dcell and (iv) Cspecific membrane versus σconductivity versus Einstantaneous were included. Note that Dcell represents the diameter of the cell under measurement, which was calculated from Lelongation based on the assumption of volume conservation when the cell deforms. As shown in Table 1, Cspecific membrane, σconductivity and Einstantaneous of five cell types were found to be 2.10±0.38 μF cm−2, 0.91±0.15 S m−1 and 5.52±0.95 kPa for H460 cells (ncell=437); 2.52±0.54 μF cm−2, 0.83±0.12 S m−1 and 5.54±1.04 kPa for H446 cells (ncell=410); 2.45±0.57 μF cm−2, 0.99±0.18 S m−1 and 5.16±1.68 kPa for A549 cells (ncell=442); 1.86±0.31 μF cm−2, 1.07±0.18 S m−1 and 3.86±0.81 kPa for 95D cells (ncell=415); 2.03±0.35 μF cm−2, 0.99±0.16 S m−1 and 3.49±0.70 kPa for 95C cells (ncell=290). The detailed data of Cspecific membrane, σconductivity and Einstantaneous for individual cells are included in (Data Citation 1, Biophysical Properties of Single Tumour Cells).
Additional Information
How to cite this article: Wang, K. et al. Specific membrane capacitance, cytoplasm conductivity and instantaneous Young’s modulus of single tumour cells. Sci. Data 4:170015 doi: 10.1038/sdata.2017.15 (2017).
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
References
Zheng, Y., Nguyen, J., Wei, Y. & Sun, Y. Recent advances in microfluidic techniques for single-cell biophysical characterization. Lab on a Chip 13, 2464–2483 (2013).
Di Carlo, D. A mechanical biomarker of cell state in medicine. Journal of Laboratory Automation 17, 32–42 (2012).
Suresh, S. Biomechanics and biophysics of cancer cells. Acta Biomaterialia 3, 413–438 (2007).
Xu, Y. et al. A review of impedance measurements of whole cells. Biosensors and Bioelectronics 77, 824–836 (2016).
Valero, A., Braschler, T. & Renaud, P. A unified approach to dielectric single cell analysis: impedance and dielectrophoretic force spectroscopy. Lab on a Chip 10, 2216–2225 (2010).
Morgan, H., Sun, T., Holmes, D., Gawad, S. & Green, N. G. Single cell dielectric spectroscopy. Journal of Physics D-Applied Physics 40, 61–70 (2007).
Gimsa, J., Stubbe, M. & Gimsa, U. A short tutorial contribution to impedance and AC-electrokinetic characterization and manipulation of cells and media: are electric methods more versatile than acoustic and laser methods? Journal of Electrical Bioimpedance 5, 74–91 (2014).
Darling, E. M. & Carlo, D. D. High-throughput assessment of cellular mechanical properties. Annual Review of Biomedical Engineering 17, 35–62 (2015).
Lim, C. T., Zhou, E. H., Li, A., Vedula, S. R. K. & Fu, H. X. Experimental techniques for single cell and single molecule biomechanics. Materials Science and Engineering: C 26, 1278–1288 (2006).
Addae-Mensah, K. A. & Wikswo, J. P. Measurement techniques for cellular biomechanics in vitro. Experimental biology and medicine 233, 792–809 (2008).
Lee, G. Y. H. & Lim, C. T. Biomechanics approaches to studying human diseases. Trends Biotechnol 25, 111–118 (2007).
Helenius, J., Heisenberg, C. P., Gaub, H. E. & Muller, D. J. Single-cell force spectroscopy. Journal of cell science 121, 1785–1791 (2008).
Wootton, R. C. & Demello, A. J. Microfluidics: Exploiting elephants in the room. Nature 464, 839–840 (2010).
Whitesides, G. M. The origins and the future of microfluidics. Nature 442, 368–373 (2006).
Squires, T. M. & Quake, S. R. Microfluidics: fluid physics at the nanoliter scale. Reviews of Modern Physics 77, 977 (2005).
Sims, C. E. & Allbritton, N. L. Analysis of single mammalian cells on-chip. Lab on a Chip 7, 423–440 (2007).
Reece, A. et al. Microfluidic techniques for high throughput single cell analysis. Current Opinion in Biotechnology 40, 90–96 (2016).
Cheung, K. C. et al. Microfluidic impedance-based flow cytometry. Cytometry A 77, 648–666 (2010).
Cho, Y. H., Yamamoto, T., Sakai, Y., Fujii, T. & Kim, B. Development of microfluidic device for electrical/physical characterization of single cell. Journal of Microelectromechanical Systems 15, 287–295 (2006).
MacQueen, L. A., Buschmann, M. D. & Wertheimer, M. R. Mechanical properties of mammalian cells in suspension measured by electro-deformation. Journal of Micromechanics and Microengineering 20, 5007 (2010).
Chen, J. et al. A microfluidic device for simultaneous electrical and mechanical measurements on single cells. Biomicrofluidics 5, 14113 (2011).
Zheng, Y., Shojaei-Baghini, E., Azad, A., Wang, C. & Sun, Y. High-throughput biophysical measurement of human red blood cells. Lab on a Chip 12, 2560–2567 (2012).
Zhao, Y. et al. A microfluidic system enabling continuous characterization of specific membrane capacitance and cytoplasm conductivity of single cells in suspension. Biosensors and Bioelectronics 43C, 304–307 (2013).
Zhao, Y. et al. Simultaneous characterization of instantaneous Young's modulus and specific membrane capacitance of single cells using a microfluidic system. Sensors 15, 2763–2773 (2015).
Luo, Y. N. et al. A constriction channel based microfluidic system enabling continuous characterization of cellular instantaneous Young's modulus. Sensors and Actuators B: Chemical 202, 1183–1189 (2014).
Zhao, Y. et al. Single-cell electrical phenotyping enabling the classification of mouse tumor samples. Scientific reports 6, 19487 (2016).
Data Citations
Wang, K. Dryad Digital Repository http://dx.doi.org/10.5061/dryad.3019k (2017)
Acknowledgements
The authors would like to acknowledge financial support from the National Basic Research Program of China (973 Program, Grant No 2014CB744600), National Natural Science Foundation of China (Grant No 61431019, 61671430, 61571437), Chinese Academy of Sciences Key Project Targeting Cutting-Edge Scientific Problems (QYZDB-SSW-JSC011), Natural Science Foundation of Beijing (4152056), Instrument Development Program of the Chinese Academy of Sciences, and Beijing NOVA Program of Science and Technology.
Author information
Authors and Affiliations
Contributions
K.W., J.W. and J.C. designed experiments; K.W. and Y.Z. conducted experiments; B.F. conducted cell culture; K.W., Y.L. and L.C. processed experimental data; D.C. and R.L. developed electrical/mechanical models; K.W., R.L., J.W. and J.C. drafted the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing financial interests.
ISA-Tab metadata
Rights and permissions
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
About this article
Cite this article
Wang, K., Zhao, Y., Chen, D. et al. Specific membrane capacitance, cytoplasm conductivity and instantaneous Young’s modulus of single tumour cells. Sci Data 4, 170015 (2017). https://doi.org/10.1038/sdata.2017.15
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/sdata.2017.15