K.
Mogi
a,
C.
Shirataki
b,
K.
Kihara
b,
H.
Kuwahara
b,
Y.
Hongoh
b and
T.
Yamamoto
*a
aDepartment of Mechanical Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan. E-mail: yamamoto.t.ba@m.titech.ac.jp
bDepartment of Life Science and Technology, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan
First published on 22nd November 2016
The vast majority of prokaryotic species are difficult or impossible to culture in laboratories, which makes it difficult to study these organisms using conventional biochemical techniques. Methods that enable the physical isolation of single prokaryotic cells would thus facilitate the characterization of previously unstudied organisms by eliminating or reducing the need for cultivation. Most current methods for single-cell isolation were designed for eukaryotic cells mainly of mammals, which are non-motile and much larger than prokaryotic cells. We therefore developed a micro-chamber array-based method for the isolation of single prokaryotic cells using dielectrophoresis. Here, we demonstrated the applicability of the method using two prokaryotic species, Escherichia coli (bacteria) and Haloferax volcanii (archaea), which differ both in size and biochemical composition. Our results showed that cells of either organism are trapped with an applied electric field of 5 to 20 MV m−1 and 50 kHz to 3 MHz, and that the optimum combination of dielectrophoresis voltage and frequency depends on the cell type. We suggest that this technique is useful for trapping single cells of diverse prokaryotic species.
More than 99% of the microorganisms that inhabit the earth are difficult or impossible to culture and study experimentally using conventional biochemical techniques. Molecular ecological techniques involving rRNA sequence analyses2–4 and metagenomics5,6 can be used to investigate the taxonomic composition and functions of a complex microbial community, but functional analysis of individual members of such communities remains still challenging. Single-cell genomics is an approach in which an individual cell is the analytical unit for genome sequencing; the functions of individual microorganisms can be predicted without the need for cultivation.7 This in turn gives rise to a new set of technical requirements, including an improvement of DNA sequencing techniques together with techniques to physically isolate individual cells. In addition, the single-cell isolation must be followed by DNA extraction and amplification of the DNA to a quantity sufficient for sequencing. Furthermore, in order to overcome the amplification bias among genome regions, recent researches have shown that reducing the reaction volume to the nanoliter-scale dramatically increases the completeness of single-cell genomes.8,9 Research into the reasons for this positive effect of miniscule volumes on the reactions is in progress. To successfully exploit this effect, a technique for capturing a single cell in a chamber with subsequent effective control of the intra-chamber solution is undoubtedly a prerequisite for microbial single-cell sequencing.
Various methods have been proposed for single-cell isolation,10 including the transport of individual cells using a micropipette,11 statistics-guided capture of single cells in micro-chambers by dilution,12,13 and the use of a microfluidic device in combination with an optical tweezer.14 In all of these techniques, however, the primary focus is on medical applications, and thus, the target cells are mainly of mammals. Typical mammalian cells are large in size, approximately 10–20 μm, and incapable of self-propulsion; therefore, relatively easy to retain.15–17 Prokaryotic cells, in contrast, are sub-micrometer to several micrometers in size, smaller in volume than eukaryotic cells by a factor of 1000 or more. Many prokaryotes are also capable of self-propulsion, thus posing the possibility of their escape following entrapment. In the design of a prokaryote-trapping device, both cell processing and cell trapping pose a high degree of difficulty and require a strategy different from those used to trap eukaryotic cells. We therefore investigated the possibility of using electrostatic forces to trap and retain single prokaryotic cells, as the scaling law indicates that these forces remain effective in miniscule spaces.18 We previously verified an array technique for entrapping single eukaryotic or prokaryotic cells using dielectrophoretic forces.19 However, the trapping chambers consisted of closed spaces with electrodes placed above and below (Fig. 1a), which precluded access to the cells from the outside and thus impeded the operations necessary for biochemical treatment of the trapped cells.20
In the present study, we developed a micro-chamber array technique to entrap single prokaryotic cells, with both of the electrodes placed at the bottom of each chamber, as shown in Fig. 1b. This arrangement facilitates access to the trapped cells from above. We tested the effectiveness of the array for capturing single prokaryotic cells and investigated the voltages and frequencies most conducive to the entrapment. We used a bacterial and archaeal species that differ markedly in size, habitat, and internal composition and may therefore be expected to require different trapping conditions. In this work, we tried to isolate single cell from cell population consisting of a single species of E. coli and H. volcanii, respectively, as the starting point.
F = 2πr3ε0εmRe[K]∇E2 | (1) |
![]() | (2) |
The permittivity and conductivity of solution was measured by a commercially available impedance analyzer (SI 1260 + 1296, Solartron), however, the remarkable difference in permittivity between pure water and the suspension includes E. coli or H. volcanii have not confirmed. The conductivity of both the suspensions differed from 1 μS cm−1 to 200 mS m−1 depending on the condition of samples. Our trapping condition was worked well regardless of the validation in conductivity. It is therefore supposed that the generated dielectrophoresis would be mainly caused by the property of E. coli and H. volcanii themselves, such as size, shape cell permittivity, etc.
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Fig. 5 Photo of the fabricated device. Several pattern of electrode units are assembled on the device. |
Fig. 7 shows the results of E. coli trapping with 20 V at 100 kHz in the lattice-array chambers. E. coli cells, shown as the white dots in Fig. 7, were trapped in 33 of the 40 chambers. Fig. 7b shows video snapshots of the entrapment in chamber A, which is indicated by a white square in Fig. 7a. The time series of these snapshots shows that an E. coli cell was drawn toward and into the chamber from an initial position approximately 50 μm away. As shown by the traces in this snapshot sequence, which indicates the direction and distance of cell travel, the speed of cell movement increased as the cell approaches and enters the chamber, presumably due to the increasing dielectrophoretic force. Trapping also occurred at the electrode edges outside the chamber, as an effect of the direction of the dielectrophoretic force toward the edges, which is the direction of increasing electric field gradient. The effect of the electrode edges was strongest for those edges within the chamber, which face the solution, but even for those edges outside the chamber and unexposed to the solution, the force leakage was presumably sufficient for cell entrapment. These experimental results clearly indicate that in the course of movement ending in the chamber, the cell tended to move first to the nearest electrode edge and then along that edge toward the chamber until it was finally drawn into the region of the electrode gap, where the dielectrophoretic force was strongest.
Fig. 8 shows the relationship between the number of prokaryotic cells trapped in a chamber and the average fluorescent intensity in the chamber. Although E. coli cells are not spherical and the fluorescence intensity therefore can vary with its orientation, the results showed good linearity between the number of trapped E. coli cells and the luminance taken as the intensity of the chamber area. When five or more cells were trapped in a single chamber, however, accurate measurement became difficult and measurement error increased, apparently as a result of overlapping cells.
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Fig. 8 Relationship between the number of trapped cells in the trapping chamber and the averaged fluorescent intensity in the chamber. The error bar shows the standard deviation of the intensity. |
In summary, these results showed that during trapping of single to a few number of prokaryotic cells, the number of cells trapped in each chamber can be precisely quantified based on the fluorescence intensity of that chamber.
We next investigated the conditions under which trapping is facilitated, in terms of applied electric field strength (volts per μm) and frequency. Quantitative determination of the generated trapping strength is difficult, and we therefore proceeded by dividing the applicable field strengths and frequencies into several different practical regions, assessing the possibility of trapping for each region and then narrowing in on the optimum region. In the assessment, we simply entered a checkmark (as shown in Table 1) for each case in which trapping occurred without assessing the number of trappings in each chamber or the proportion of chambers in which trapping occurred, and we found that with an electric field strength of ≥5 MV m−1, trapping was successful over the frequency region 50 kHz to 3 MHz.
20 kHz | 50 kHz | 100 kHz | 500 kHz | 3 MHz | |
---|---|---|---|---|---|
5 V | — | — | — | — | — |
10 V | — | ✓ | ✓ | ✓ | ✓ |
20 V | — | ✓ | ✓ | ✓ | ✓ |
As shown by the histograms in Fig. 8, for chambers each trapping a given number of cells, normalized to the total number of chambers at various voltage and frequency combinations, 20% of chambers trapped just one cell at 10 V/50 kHz and 10 V/100 kHz, but only 7.5% of chambers trapped one cell at 20 V/100 kHz. In addition, the proportion of chambers trapping no cells rose to 70% at 10 V/50 kHz, thus revealing a trend in which the proportion of chambers with no trapped cell decreased with an increase in either the applied voltage or applied frequency, and the proportion of chambers trapping three or more cells increased with an increase in either voltage or frequency and was highest at 20 V/100 kHz. As shown in eqn (1), the dielectrophoretic force is proportional to ∇E2, and on this basis, the magnitude of the force can be controlled by changing the level of applied voltage.
With regard to frequency dependence, on the other hand, the optimum frequency is presumably determined by the balance between the complex permittivities of the prokaryotic cells and the solvent. The assessment of optimum frequency would require a different device design and measurement apparatus, and therefore was not within the scope of the present study. Our results nonetheless show that the number of trapped cells can be increased by increasing the applied voltage and thus the dielectrophoretic force, and that the applied voltage and frequency are key parameters for controlling the number of prokaryotic cells trapped in individual chambers. Although the experimental data are not shown here, the number of cells trapped in the chambers is also strongly affected by the solvent composition and the concentration of cells in solution; for optimization of the trapping conditions, it will be necessary to consider various parameters in addition to the applied voltage and frequency.
As described in the Experimental section, this investigation was performed using H. volcanii cells in a sucrose solution in order to avoid the rupturing of cells due to the high osmotic pressure that would occur in the ion exchange – treated water used in the E. coli experiments. Cell aggregation tended to occur in the sucrose solution, presumably as a result of viscous liquid secretion, which impeded accurate cell counting. Quantitative determinations such as those shown for E. coli in Fig. 9 were therefore impractical. H. volcanii trapping was nevertheless successful at the applied voltages and frequencies indicated by the checkmarks in Table 2. In comparison with the result of E. coli trapping, it is remarkable difference that H. volcanii trapping required a higher applied voltage at 50 and 100 kHz. In other words, trapping force of H. volcanii was weaker at those frequencies. At frequencies of 500 kHz and higher, however, trapping occurred even at applied voltages of 5 and 10 V. These results indicate that, as expected, an optimum frequency region exists for H. volcanii trapping, and this optimum frequency is higher than for E. coli.
20 kHz | 50 kHz | 100 kHz | 500 kHz | 3 MHz | |
---|---|---|---|---|---|
5 V | — | — | — | ✓ | ✓ |
10 V | — | — | — | ✓ | ✓ |
20 V | — | ✓ | ✓ | ✓ | ✓ |
In summary, the results obtained for E. coli and H. volcanii showed that the optimum frequency and electric field for successful single-cell trapping with this method vary according to the morphology and the electrical properties (permittivity and conductivity) of the cell and the solvent. Our results do provide a basic guideline of 5 to 20 MV m−1 and 50 kHz to 3 MHz as electric field strengths and frequencies, respectively, at which trapping is possible.
Quantification of the chamber trapping ratio was impracticable for H. volcanii because of its cell aggregation, but for E. coli, the results showed a probability of up to 20% for trapping a single cell in a chamber and a ratio of 82.5% (33 of 44 chambers) for successful trapping of one or more cells per chamber.
Further studies will include assessment and optimization of the relative size between the chamber and the microbial cell, in order to reduce the occurrence of multi-cell trapping by single chambers and thus increase the efficiency of single-cell trapping. Further studies will also involve refinements based on cell and solvent permittivity and conductivity as well as cell size and shape in order to increase the degree of certainty of single-cell trapping. With progress in these studies, the single-cell trapping technique that we describe here could become a key component of single-cell analyses.
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