Single-Cell Mechanical Characteristics Analyzed by Multiconstriction Microfluidic Channels

A microfluidic device composed of variable numbers of multiconstriction channels is reported in this paper to differentiate a human breast cancer cell line, MDA-MB-231, and a nontumorigenic human breast cell line, MCF-10A. Differences between their mechanical properties were assessed by comparing the effect of single or multiple relaxations on their velocity profiles which is a novel measure of their deformation ability. Videos of the cells were recorded via a microscope using a smartphone, and imported to a tracking software to gain the position information on the cells. Our results indicated that a multiconstriction channel design with five deformation (50 μm in length, 10 μm in width, and 8 μm in height) separated by four relaxation (50 μm in length, 40 μm in width, and 30 μm in height) regions was superior to a single deformation design in differentiating MDA-MB-231 and MCF-10A cells. Velocity profile criteria can achieve a differentiation accuracy around 95% for both MDA-MB-231 and MCF-10A cells.

Microfluidic on-demand droplet generation, storage, retrieval, and merging for single-cell pairing

A multifunctional microfluidic platform combining on-demand aqueous-phase droplet generation, multi-droplet storage, and controlled merging of droplets selected from a storage library in a single integrated microfluidic device is described. A unique aspect of the technology is a microfluidic trap design comprising a droplet trap chamber and lateral bypass channels integrated with a microvalve that supports the capture and merger of multiple droplets over a wide range of individual droplet sizes. A storage unit comprising an array of microfluidic traps operates in a first-in first-out manner, allowing droplets stored within the library to be analyzed before sequentially delivering selected droplets to a downstream merging zone, while shunting other droplets to waste. Performance of the microfluidic trap is investigated for variations in bypass/chamber hydrodynamic resistance ratio, micro-chamber geometry, trapped droplet volume, and overall flow rate. The integrated microfluidic platform is then utilized to demonstrate the operational steps necessary for cell-based assays requiring the isolation of defined cell populations with single cell resolution, including encapsulation of individual cells within an aqueous-phase droplet carrier, screening or incubation of the immobilized cell-encapsulated droplets, and generation of controlled combinations of individual cells through the sequential droplet merging process. Beyond its utility for cell analysis, the presented platform represents a versatile approach to robust droplet generation, storage, and merging for use in a wide range of droplet-based microfluidics applications.

The fractional viscoelastic response of human breast tissue cells

The mechanical response of a living cell is notoriously complicated. The complex, heterogeneous characteristics of cellular structure introduce difficulties that simple linear models of viscoelasticity cannot overcome, particularly at deep indentation depths. Herein, a nano-scale stress-relaxation analysis performed with an atomic force microscope reveals that isolated human breast cells do not exhibit simple exponential relaxation capable of being modeled by the standard linear solid (SLS) model. Therefore, this work proposes the application of the fractional Zener (FZ) model of viscoelasticity to extract mechanical parameters from the entire relaxation response, improving upon existing physical techniques to probe isolated cells. The FZ model introduces a new parameter that describes the fractional time-derivative dependence of the response. The results show an exceptional increase in conformance to the experimental data compared to that predicted by the SLS model, and the order of the fractional derivative (α) is remarkably homogeneous across the populations, with a median value of 0.48 ± 0.06 for the malignant population and 0.51 ± 0.07 for the benign. The cells' responses exhibit power-law behavior and complexity not associated with simple relaxation (SLS, α = 1) that supports the application of a fractional model. The distributions of some of the FZ parameters also preserve the distinction between the malignant and benign sample populations seen from the linear model and previous results while including the contribution of fast-relaxation behavior. The resulting viscosity, measured by a composite relaxation time, exhibits considerably less dispersion due to residual error than the distribution generated by the linear model and therefore serves as a more powerful marker for cell differentiation.

Sub-cellular force microscopy in single normal and cancer cells

This work investigates the biomechanical properties of sub-cellular structures of breast cells using atomic force microscopy (AFM). The cells are modeled as a triple-layered structure where the Generalized Maxwell model is applied to experimental data from AFM stress-relaxation tests to extract the elastic modulus, the apparent viscosity, and the relaxation time of sub-cellular structures. The triple-layered modeling results allow for determination and comparison of the biomechanical properties of the three major sub-cellular structures between normal and cancerous cells: the up plasma membrane/actin cortex, the mid cytoplasm/nucleus, and the low nuclear/integrin sub-domains. The results reveal that the sub-domains become stiffer and significantly more viscous with depth, regardless of cell type. In addition, there is a decreasing trend in the average elastic modulus and apparent viscosity of the all corresponding sub-cellular structures from normal to cancerous cells, which becomes most remarkable in the deeper sub-domain. The presented modeling in this work constitutes a unique AFM-based experimental framework to study the biomechanics of sub-cellular structures.

Bioactive sphingolipid metabolites modulate ovarian cancer cell structural mechanics

Cancer progression is associated with an increased deformability of cancer cells and reduced resistance to mechanical forces, enabling motility and invasion. This is important for metastases survival and outgrowth and as such could be a target for chemopreventive strategies. In this study, we determined the differential effects of exogenous sphingolipid metabolites on the elastic modulus of mouse ovarian surface epithelial cells as they transition to cancer. Treatment with ceramide or sphingosine-1-phosphate in non-toxic concentrations decreased the average elastic modulus by 21% (p≤ 0.001) in transitional and 15% (p≤ 0.02) in aggressive stages while exerting no appreciable effect on non-malignant cells. In contrast, sphingosine treatment on average increased the elastic modulus by 33% (p≤ 0.0002) in aggressive cells while not affecting precursor cells. These results indicate that tumor-supporting sphingolipid metabolites act by making cells softer, while the anti-cancer metabolite sphingosine partially reverses the decreased elasticity associated with cancer progression. Thus, sphingosine may be a valid alternative to conventional chemotherapeutics in ovarian cancer prevention or treatment.

The impact of sphingosine kinase inhibitor-loaded nanoparticles on bioelectrical and biomechanical properties of cancer cells

Cancer progression and physiological changes within the cells are accompanied by alterations in the biophysical properties. Therefore, the cell biophysical properties can serve as promising markers for cancer detection and physiological activities. To aid in the investigation of the biophysical markers of cells, a microfluidic chip has been developed which consists of a constriction channel and embedded microelectrodes. Single-cell impedance magnitudes at four frequencies and entry and travel times are measured simultaneously during their transit through the constriction channel. This microchip provides a high-throughput, label-free, automated assay to identify biophysical signatures of malignant cells and monitor the therapeutic efficacy of drugs. Here, we monitored the dynamic cellular biophysical properties in response to sphingosine kinase inhibitors (SphKIs), and compared the effectiveness of drug delivery using poly lactic-co-glycolic acid (PLGA) nanoparticles (NPs) loaded with SphKIs versus conventional delivery. Cells treated with SphKIs showed significantly higher impedance magnitudes at all four frequencies. The bioelectrical parameters extracted using a model also revealed that the highly aggressive breast cells treated with SphKIs shifted electrically towards that of a less malignant phenotype; SphKI-treated cells exhibited an increase in cell-channel interface resistance and a significant decrease in specific membrane capacitance. Furthermore, SphKI-treated cells became slightly more deformable as measured by a decrease in their channel entry and travel times. We observed no significant difference in the bioelectrical changes produced by SphKI delivered conventionally or with NPs. However, NPs-packaged delivery of SphKI decreased the cell deformability. In summary, this study showed that while the bioelectrical properties of the cells were dominantly affected by SphKIs, the biomechanical properties were mainly changed by the NPs.

Single cell metastatic phenotyping using pulsed nanomechanical indentations

The existing approach to characterize cell biomechanical properties typically utilizes switch-like models of mechanotransduction in which cell responses are analyzed in response to a single nanomechanical indentation or a transient pulsed stress. Although this approach provides effective descriptors at population-level, at a single-cell-level, there are significant overlaps in the biomechanical descriptors of non-metastatic and metastatic cells which precludes the use of biomechanical markers for single cell metastatic phenotyping. This study presents a new promising marker for biosensing metastatic and non-metastatic cells at a single-cell-level using the effects of a dynamic microenvironment on the biomechanical properties of cells. Two non-metastatic and two metastatic epithelial breast cell lines are subjected to a pulsed stresses regimen exerted by atomic force microscopy. The force-time data obtained for the cells revealed that the non-metastatic cells increase their resistance against deformation and become more stiffened when subjected to a series of nanomechanical indentations. On the other hand, metastatic cells become slightly softened when their mechanical microenvironment is subjected to a similar dynamical changes. This distinct behavior of the non-metastatic and metastatic cells to the pulsed stresses paradigm provided a signature for single-cell-level metastatic phenotyping with a high confidence level of ∼95%.

Microfluidic Iterative Mechanical Characteristics (iMECH) Analyzer for Single-Cell Metastatic Identification

This study describes the development of a microfluidic biosensor called the iterative mechanical characteristics (iMECH) analyzer which enables label-free biomechanical profiling of individual cells for distinction between metastatic and non-metastatic human mammary cell lines. Previous results have demonstrated that pulsed mechanical nanoindentation can modulate the biomechanics of cells resulting in distinctly different biomechanical responses in metastatic and non-metastatic cell lines. The iMECH analyzer aims to move this concept into a microfluidic, clinically more relevant platform. The iMECH analyzer directs a cyclic deformation regimen by pulling cells through a test channel comprised of narrow deformation channels and interspersed with wider relaxation regions which together simulate a dynamic microenvironment. The results of the iMECH analysis of human breast cell lines revealed that cyclic deformations produce a resistance in non-metastatic 184A1 and MCF10A cells as determined by a drop in their average velocity in the iterative deformation channels after each relaxation. In contrast, metastatic MDA-MB-231 and MDA-MB-468 cells exhibit a loss of resistance as measured by a velocity raise after each relaxation. These distinctive modulatory mechanical responses of normal-like non-metastatic and metastatic cancer breast cells to the pulsed indentations paradigm provide a unique bio-signature. The iMECH analyzer represents a diagnostic microchip advance for discriminating metastatic cancer at the single-cell level.

A programmable microfluidic platform for multisample injection, discretization, and droplet manipulation

A programmable microfluidic platform enabling on-demand sampling, compartmentalization, and manipulation of multiple aqueous volumes is presented. The system provides random-access actuation of a microtrap array supporting selective discretization of picoliter volumes from multiple sample inputs. The platform comprises two interconnected chips, with parallel T-junctions and multiplexed microvalves within one chip enabling programmable injection of aqueous sample plugs, and nanoliter volumes transferred to a second microtrap array chip in which the plugs are actively discretized into picoliter droplets within a static array of membrane displacement actuators. The system employs two different multiplexer designs that reduce the number of input signals required for both sample injection and discretization. This versatile droplet-based technology offers flexible sample workflows and functionalities for the formation and manipulation of heterogeneous picoliter droplets, with particular utility for applications in biochemical synthesis and cell-based assays requiring flexible and programmable operation of parallel and multistep droplet processes. The platform is used here for the selective encapsulation of differentially labeled cells within a discrete droplet array.

Roles of bioactive sphingolipid metabolites in ovarian cancer cell biomechanics

Bioactive sphingolipid metabolites have emerged as important lipid second messengers in the regulation of cell growth, death, motility and many other events. These processes are important in cancer development and progression; thus, sphingolipid metabolites have been implicated in both cancer development and cancer prevention. Despite recent considerable progress in understanding the multi-faceted functions of these bioactive metabolites, little is known about their influence on the biomechanical property of cells. The biomechanical properties of cancer cells change during progression with aggressive and invasive cells being softer compared to their benign counterparts. In this paper, we investigated the effects of exogenous sphingolipid metabolites on the Young's modulus and cytoskeletal organization of cells representing aggressive ovarian cancer. Our findings demonstrate that the elasticity of aggressive ovarian cancer cells decreased ∼15% after treatment with ceramide and sphingosine-1-phosphate. In contrast, sphingosine treatment caused a ∼30% increase in the average elasticity which was associated with a more defined actin cytoskeleton organization. This indicates that sphingolipid metabolites differentially modulate the biomechanic properties of cancer cells which may have a critical impact on cancer cell survival and progression, and the use of sphingolipid metabolites as chemopreventive or chemo-therapeutic agents.

Active or Passive On-Demand Droplet Merging in a Microfluidic Valve-Based Trap

A microfluidic valve-based trap enabling controlled capture, release, and temporary immobilization of droplets together with on-demand merging of selected droplets is presented in this paper. The microfluidic trap technology can merge droplets passively or in active manner via a pneumatically actuated membrane. A microchip is developed with two functional units of droplet generator and merging mechanism to implement the passive or active merging performance of the microfluidic valve-based trap using a low and high surfactant concentrated continuous oil-phase.

Abstract 3924: Single-cell mechanical characteristics of human breast cell lines analyzed by multi-constriction microfluidic channels

Studies of the mechanical characteristics of single cancer cells have shown that non-metastatic and metastatic cells have significant differences in stiffness. We used a microfluidic multi-constriction channel device to differentiate cancer cells and normal cells based upon differences in their mechanical properties.

We fabricated the multi-constriction channels on a silicon wafer with SU-8 photolithography and polydimethylsiloxane (PDMS) soft-lithography, followed by PDMS and glass bonding after plasma treatment. The multi-constriction microfluidic channel contains five constriction channels each 50 μm in length separated by relaxation sections of 50 μm between every constriction channel. We used MDA-MB-231 as the cancer cell line and MCF-10A as the normal cell line, and utilized a smart phone to record video via a microscope. Our measurement by smart phone slow-motion video through microscope reliably collected the velocities of over 200 cells.

We focused on comparing the initial velocity change due to cell deformation at the entrance of the first constriction channel and the exiting velocity at the last segment of the final constriction channel, where the cells have experienced sequential deformations. The multiple deformation paradigm tests cells’ resilience towards deformation and shape recovery. Cancer cells recovered back to a round cell shape quickly, and therefore experienced deformation at the entrance to each constriction channel, with a net result of a decrease in velocity. The initial velocities of MDA-MB-231 cells were ~1.1 mm/s, and exiting velocities were ~2.2 mm/s. In contrast, normal cells deformed slower initially, but reached a higher velocity after two or three deformations, because normal cells stay in a rod-like shape without fully recovering back to an original spherical cell shape. The initial velocities of MCF-10A cells were ~0.5 mm/s, and exiting velocities were ~3.8 mm/s. When normal cells enter the fourth and fifth constriction channels, the cells’ shapes were almost fixed. The entrance time of cancer cells into the fourth and fifth channel was longer than the normal cells. After calculating the velocity increments in the fourth channel and fifth channel compared to the initial velocity, the Matlab scatter plot of the velocity data of each MDA-MB-231 (n= 108 cells) and MCF-10A (n= 105 cells) cells showed clear separation of the two cell lines into distinct regions. Algorithms based upon these criteria successfully differentiated ~94.4% of the cancer cells from normal cells.

Our experimental results indicated that multi-constriction microfluidic channels can be used to differentiate metastatic MDA-MB-231 and MCF-10A cells at the single cell level and may have further applications in high-throughput cell sorting and analysis.

The authors would like to thank National Institute of Health (NIH) R21CA210126 for supporting this research.

Citation Format: Xiang Ren, Parham Ghassemi, Hesam Babahosseini, Jeannine S. Strobl, Masoud Agah. Single-cell mechanical characteristics of human breast cell lines analyzed by multi-constriction microfluidic channels [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3924. doi:10.1158/1538-7445.AM2017-3924

Deterministic assembly of chromosome ensembles in a programmable membrane trap array

Selective spatial isolation and manipulation of single chromosomes and the controlled formation of defined chromosome ensembles in a droplet-based microfluidic system is presented. The multifunctional microfluidic technology employs elastomer valves and membrane displacement traps to support deterministic manipulation of individual droplets. Picoliter droplets are formed in the 2D array of microscale traps by self-discretization of a nanoliter sample plug, with membranes positioned over each trap allowing controllable metering or full release of selected droplets. By combining discretization, optical interrogation, and selective droplet release for sequential delivery to a downstream merging zone, the system enables efficient manipulation of multiple chromosomes into a defined ensemble with single macromolecule resolution. Key design and operational parameters are explored, and co-compartmentalization of three chromosome pairs is demonstrated as a first step toward formation of precisely defined chromosome ensembles for applications in genetic engineering and synthetic biology.

A Scalable Random Access Micro-traps Array for Formation, Selective Retrieval and Capturing of Individual Droplets

Formation, selective retrieval and capturing of individual droplets are key operational capabilities needed for a broad range of droplet microfluidic applications. The membrane displacement trap (MDT) element gives a robust method for uniform discretization and controllable manipulation of aqueous droplets using an enclosed micro-well covered by an elastomer membrane. This capability can be scaled up by combining the modular elements with a system design that requires a minimal number of signal inputs. Incorporation of MDT elements with a pneumatically-controllable multiplexer system can lead to a scalable random access MDT array platform for liquid discretization and selective manipulation. Herein, we report the design and development of a programmable droplet microfluidic platform for liquid sampling and selectively handling up to 32 individual droplets using 10 pneumatic signal inputs. The multiplexer system can logarithmically scale up capacity of the MDT array platform, making it possible to manipulate hundreds droplets.