Method Article

High Throughput Single-cell and Multiple-cell Micro-encapsulation

DOI:

10.3791/4096

June 15th, 2012

In This Article

Summary

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Combining monodisperse drop generation with inertial ordering of cells and particles, we describe a method to encapsulate a desired number of cells or particles in a single drop at kHz rates. We demonstrate efficiencies twice exceeding those of unordered encapsulation for single- and double-particle drops.

Abstract

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Microfluidic encapsulation methods have been previously utilized to capture cells in picoliter-scale aqueous, monodisperse drops, providing confinement from a bulk fluid environment with applications in high throughput screening, cytometry, and mass spectrometry. We describe a method to not only encapsulate single cells, but to repeatedly capture a set number of cells (here we demonstrate one- and two-cell encapsulation) to study both isolation and the interactions between cells in groups of controlled sizes. By combining drop generation techniques with cell and particle ordering, we demonstrate controlled encapsulation of cell-sized particles for efficient, continuous encapsulation. Using an aqueous particle suspension and immiscible fluorocarbon oil, we generate aqueous drops in oil with a flow focusing nozzle. The aqueous flow rate is sufficiently high to create ordering of particles which reach the nozzle at integer multiple frequencies of the drop generation frequency, encapsulating a controlled number of cells in each drop. For representative results, 9.9 μm polystyrene particles are used as cell surrogates. This study shows a single-particle encapsulation efficiency Pk=1 of 83.7% and a double-particle encapsulation efficiency Pk=2 of 79.5% as compared to their respective Poisson efficiencies of 39.3% and 33.3%, respectively. The effect of consistent cell and particle concentration is demonstrated to be of major importance for efficient encapsulation, and dripping to jetting transitions are also addressed.

Introduction

Continuous media aqueous cell suspensions share a common fluid environment which allows cells to interact in parallel and also homogenizes the effects of specific cells in measurements from the media. High-throughput encapsulation of cells into picoliter-scale drops confines the samples to protect drops from cross-contamination, enable a measure of cellular diversity within samples, prevent dilution of reagents and expressed biomarkers, and amplify signals from bioreactor products. Drops also provide the ability to re-merge drops into larger aqueous samples or with other drops for intercellular signaling studies.1,2 The reduction in dilution implies stronger detection signals for higher accuracy measurements as well as the ability to reduce potentially costly sample and reagent volumes.3 Encapsulation of cells in drops has been utilized to improve detection of protein expression,4 antibodies,5,6 enzymes,7 and metabolic activity8 for high throughput screening, and could be used to improve high throughput cytometry.9 Additional studies present applications in bio-electrospraying of cell containing drops for mass spectrometry10 and targeted surface cell coatings.11 Some applications, however, have been limited by the lack of ability to control the number of cells encapsulated in drops. Here we present a method of ordered encapsulation12 which increases the demonstrated encapsulation efficiencies for one and two cells and may be extrapolated for encapsulation of a larger number of cells.

To achieve monodisperse drop generation, microfluidic "flow focusing" enables the creation of controllable-size drops of one fluid (an aqueous cell mixture) within another (a continuous oil phase) by using a nozzle at which the streams converge.13 For a given nozzle geometry, the drop generation frequency f and drop size can be altered by adjusting oil and aqueous flow rates Qoil and Qaq. As the flow rates increase, the flows may transition from drop generation to unstable jetting of aqueous fluid from the nozzle.14

When the aqueous solution contains suspended particles, particles become encapsulated and isolated from one another at the nozzle. For drop generation using a randomly distributed aqueous cell suspension, the average fraction of drops Dk containing k cells is dictated by Poisson statistics, where Dk = λk exp(-λ)/(k!) and λ is the average number of cells per drop. The fraction of cells which end up in the "correctly" encapsulated drops is calculated using Pk = (k x Dk)/Σ(k' x Dk'). The subtle difference between the two metrics is that Dk relates to the utilization of aqueous fluid and the amount of drop sorting that must be completed following encapsulation, and Pk relates to the utilization of the cell sample. As an example, one could use a dilute cell suspension (low λ) to encapsulate drops where most drops containing cells would contain just one cell. While the efficiency metric Pk would be high, the majority of drops would be empty (low Dk), thus requiring a sorting mechanism to remove empty drops, also reducing throughput.15

Combining drop generation with inertial ordering provides the ability to encapsulate drops with more predictable numbers of cells per drop and higher throughputs than random encapsulation. Inertial focusing was first discovered by Segre and Silberberg16 and refers to the tendency of finite-sized particles to migrate to lateral equilibrium positions in channel flow. Inertial ordering refers to the tendency of the particles and cells to passively organize into equally spaced, staggered, constant velocity trains. Both focusing and ordering require sufficiently high flow rates (high Reynolds number) and particle sizes (high Particle Reynolds number).17,18 Here, the Reynolds number Re =uDh and particle Reynolds number Rep =Re(a/Dh)2, where u is a characteristic flow velocity, Dh [=2wh/(w+h)] is the hydraulic diameter, ν is the kinematic viscosity, a is the particle diameter, w is the channel width, and h is the channel height. Empirically, the length required to achieve fully ordered trains decreases as Re and Rep increase. Note that the high Re and Rep requirements (for this study on the order of 5 and 0.5, respectively) may conflict with the need to keep aqueous flow rates low to avoid jetting at the drop generation nozzle. Additionally, high flow rates lead to higher shear stresses on cells, which are not addressed in this protocol. The previous ordered encapsulation study demonstrated that over 90% of singly encapsulated HL60 cells under similar flow conditions to those in this study maintained cell membrane integrity.12 However, the effect of the magnitude and time scales of shear stresses will need to be carefully considered when extrapolating to different cell types and flow parameters. The overlapping of the cell ordering, drop generation, and cell viability aqueous flow rate constraints provides an ideal operational regime for controlled encapsulation of single and multiple cells.

Because very few studies address inter-particle train spacing,19,20 determining the spacing is most easily done empirically and will depend on channel geometry, flow rate, particle size, and particle concentration. Nonetheless, the equal lateral spacing between trains implies that cells arrive at predictable, consistent time intervals. When drop generation occurs at the same rate at which ordered cells arrive at the nozzle, the cells become encapsulated within the drop in a controlled manner. This technique has been utilized to encapsulate single cells with throughputs on the order of 15 kHz,12 a significant improvement over previous studies reporting encapsulation rates on the order of 60-160 Hz.4,15 In the controlled encapsulation work, over 80% of drops contained one and only one cell, a significant efficiency improvement over Poisson (random) statistics, which predicts less than 40% efficiency on average.12

In previous controlled encapsulation work,12 the average number of particles per drop λ was tuned to provide single-cell encapsulation. We hypothesize that through tuning of flow rates, we can efficiently encapsulate any number of cells per drop when λ is equal or close to the number of desired cells per drop. While single-cell encapsulation is valuable in determining individual cell responses from stimuli, multiple-cell encapsulation provides information relating to the interaction of controlled numbers and types of cells. Here we present a protocol, representative results using polystyrene microspheres, and discussion for controlled encapsulation of multiple cells using a passive inertial ordering channel and drop generation nozzle.

Protocol

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The protocols in this section describe the materials and equipment utilized specifically to obtain the experimental results presented. Note that alternative suppliers for chemicals and equipment may be utilized.

1. Device Fabrication and Soft Lithography

Standard soft lithography techniques,21 a number of which have been featured in previous JOVE articles,22 were used for creating polydimethylsiloxane (PDMS) microchannel networks bonded to glass substrates. Aside from master replica mold fabrication by SU-8 photolithography, the processes may be performed outside a clean room or clean hood; ho....

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Discussion

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Despite relatively high degrees of ordering, not all drops will contain the proper number of particles or cells. Encapsulation efficiency may be calculated as the number of cells or particles that become encapsulated in drops with the desired occupancy divided by their total number. These raw data can be obtained either from an automated high speed video algorithm or from imaging a sample of collected emulsion. This can be compared to the fraction of particles Pk encapsulated in a drop containing k pa.......

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Disclosures

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JE is an inventor on a pending patent based on the technology utilized in this manuscript.

Acknowledgements

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We thank RainDance Technologies for the sample of PFPE-PEG surfactant utilized in this study, and we thank the BioMEMS Resource Center (Mehmet Toner, director) for the silicon wafer mold used to create PDMS channel replicas.

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
AutoCADAutoDesk
Transparency MaskFineline Imaging Inc.
SU-8 PhotoresistMicroChem Corp.2050
Dektak ProfilometerVeeco Instruments, Inc.
Petri DishBD Biosciences351058
PDMS Silicone Elastomer KitDow CorningSylgard 184, Material Number (240)4019862
Vacuum DesiccatorJencons250-030
Vacuum PumpAlcatel Vacuum Technology2010 C2
Vacuum RegulatorCole-ParmerEW-00910-10
OvenThermo Fisher Scientific, Inc.Lindberg Blue M, OV800F
Biopsy Punch, 0.75 mmHarrisUni-Core 15072
Laboratory Corona TreaterElectro-Technic Products Inc.BD-20AC, SKU 12051A
Glass SlidesGold Seal3010
AquapelPPG IndustriesAlternative Strategy
Polystyrene Microspheres, 9.9 μmThermo Fisher Scientific, Inc.G1000
OptiPrepSigma-AldrichD1556Not Demonstrated
Luer-Lok SyringesBD Biosciences1 mL: 309628 3 mL: 309585
FC-40 Fluorocarbon Oil3M Inc.Sigma Aldrich, F9755
PFPE-PEG FluorosurfactantRainDance Technologies
Light Mineral OilPTI Process Chemicals08042-47-5Alternative Strategy
Mineral Oil SurfactantEvonik Goldschmidt CorporationABIL EM 90Alternative Strategy
Tygon PVC TubingSmall Parts, Inc.TGY-010
30 Gauge Luer-Lok Syringe Needle, 1/2"Small Parts, Inc.NE-301PL-C
Inverted MicroscopeCarl Zeiss ImagingAxio Observer.Z1
High Speed CameraVision ResearchPhantom V310
Syringe Pumps (2)Chemyx Inc.Nexus 3000
Silicone OilDow Corning200 fluid, 10 cStOptional for Emulsion Storage

References

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  1. Zagnoni, M., Lain, G. L. e, Cooper, J. M. Electrocoalescence mechanisms of microdroplets using localized electric fields in microfluidic channels. Langmuir : the ACS journal of surfaces and colloids. 26, 14443-14449 (2010).
  2. Niu, X. Z., Gielen, F., Edel, J. B., deMello, A. J.

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Tags

Microfluidic EncapsulationFlow Focusing NozzleInertial OrderingSingle Cell EncapsulationDouble Cell EncapsulationParticle SurrogatesDrop Generation RateAqueous Flow RateOil Flow RateControlled Encapsulation

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