- Methodology article
- Open Access
Establishment of a reborn MMV-microarray technology: realization of microbiome analysis and other hitherto inaccessible technologies
BMC Biotechnologyvolume 14, Article number: 78 (2014)
With the accelerating development of bioscience, the problem of research cost has become important. We previously devised and developed a novel concept microarray with manageable volumes (MMV) using a soft gel. It demonstrated the great potential of the MMV technology with the examples of 1024-parallel-cell culture and PCR experiments. However, its full potential failed to be expressed, owing to the nature of the material used for the MMV chip.
In the present study, by developing plastic-based MMVs and associated technologies, we introduced novel technologies such as C2D2P (in which the cells in each well are converted from DNA to protein in 1024-parallel), NGS-non-dependent microbiome analysis, and other powerful applications.
The reborn MMV-microarray technology has proven to be highly efficient and cost-effective (with approximately 100-fold cost reduction) and enables us to realize hitherto unattainable technologies.
For drug discovery, high-throughput screening is ultimately required. This is similar to those in various other scientific fields in which optimal conditions and combinations must be verified. The rising cost of reagents has motivated the development of microminiaturization technologies such as microarrays and microfluidics. For example, microplates have evolved from 96–384 wells to up to 3456 wells, lowering assay cost owing to the reduction of the amount of reagents and samples [1, 2]. However, even the 3456-well plate requires μL volumes for handling, due to adsorption and evaporation losses.
In recent years, many digital PCR systems such as the Fluidigm and OpenArray systems have provided a leap toward the miniaturization of assay vessels by permitting gene expression analysis at the nL scale [3, 4]. Moreover, picoliter-droplet digital PCR system is capable of analyzing millions of picoliter-sized droplets for molecular genotyping . However, these systems are highly specialized for specific purposes, requiring specific liquid handlers and digital PCR instruments . In addition, multistep reactions are, in principle, difficult to perform on these platforms, confining their applicability to molecular genotyping and a few other assays.
Microfluidics and bead-based technologies have been developed and are currently still expanding their possibilities [7–10]. These technologies have the potential to deal with minute amounts of sample and, particularly in microfluidics, support multistep reactions and detection. However, there are some difficulties in microfluidics in supporting the high density of parallel operations owing to the difficulty in supplying a uniform force to drive liquids , avoiding losses from surface adsorption, and other operations [12, 13]. In bead technology, parallel bead handling requires highly specialized machines that cannot be readily used for general purposes , although they are useful for specific purposes such as random multiple sequencing . In summary, current innovative methods have their own merits but require further development to reach their goal such as high cost performance.
Here, we describe a reborn MMV-microarray technology, i.e., microarray with manageable volumes, operated without pipettes. Pipette-free operation offers several benefits, for instance, rapid operation, handling of nanoliter volumes, avoiding adsorption and evaporation losses during operations, and dispensing with elaborate equipment. This technology was originally developed using polyacrylamide gel [16, 17] and had the main drawbacks of fragility and difficulty of accurate handling, although it has already enabled us to culture bacteria and perform PCR reactions . The method reported here could overcome these defects, thereby strengthening the MMV technology.
Microarray technology has permitted a high density of parallelism and the development of various methods [18, 19]. However, this technology has the constraint that it essentially comprises surface reactions and is difficult to use for successive and independent multistep reactions. The MMV technology solves this problem and has a potential to support novel applications. In the present study, this potential to enhance the basic MMV technology is described.
Sub-μL liquid handling technique
In this study, we developed novel necessary tools and principal technologies for pipette-free sub-μL volume handling in MMV, which were not available for MMV made from gel (Figure 1a). The main principle of MMV is “aperture-to-aperture transfer.” Parallel transfer of thousands of solutions was performed by centrifugation of a face-to-face stack of two MMVs with each well tightly contacting the other via an adhesive spacer (Figure 1b). Initial charging with sample was performed as shown in Figure 1c. Similarly, various operation techniques have been developed, including those described in our previous report , and are collectively presented in Table 1 (for detail, see Additional file 1: Table S1, Additional file 2: Figure S1, Additional file 3: Figure S2, Additional file 4: Figure S3, Additional file 5: Figure S4, Additional file 6: Figure S5, Additional file 7: Figure S6, Additional file 8: Figure S7, Additional file 9: Figure S8, Additional file 10: Figure S9).
For example, selective transfer of solutions (F-mode) to specific wells was achieved by exploiting specifically patterned filters (Figure 2a). In the MMV square transfer (S-mode) method, different volumes of solutions were transferred using the MMV-matching thin filter device (Additional file 2: Figure S1). Although in general, “well-to-well transfer” had been adopted in the MMV technology and could accomplish most necessary operations, we also developed an automated liquid handling (P-mode) system to achieve versatility and manageability, expanding the ability of the MMV system (Additional file 3: Figure S2).
Generation of replicas of cell-to-cell (C2C) and DNA-to-DNA (D2D)
To demonstrate the efficient multistep parallel transfer of solutions, MMVs containing DNA and cells in desired patterns were fabricated and used to test replica generation (Additional file 4: Figure S3a and b). The MMV chip containing E. coli cells in a pattern (cherry blossom) was subjected to successive five rounds of forward [from the donor MMV (original) to the acceptor MMV (replica)] and backward transfer [transfer back of solution from the acceptor MMV (replica) to the donor MMV (original)] with replacement of each acceptor MMV chip. The vacant acceptor chips were then filled with Davis media and incubated at 37°C for 21 h. As shown in Figure 3a, every replica chip reproduces the original cherry blossom pattern beginning with the vacant state, demonstrating the effectiveness of the replica generation technique. As the original itself can be readily amplified, we can produce replicas perpetually. Close observation of these patterns indicated that 1% or fewer of the wells stochastically failed to amplify cells within this incubation time. In an auxiliary experiment, a very small amount of aliquot (approximately 0.1% of the total solution) was shown to be left in each vacant well (Additional file 4: Figure S3c and d) and served as a seed for the next bacterial culture. Therefore, although the current system is subject to stochastic errors at a level of 0.1%, it can be used with careful monitoring of each well's state (presence of an aliquot) under a microscope. Otherwise, it can be safely used by making multiple copies (3–4) of each sample. This situation can be greatly improved with the use of a much finer, though more expensive casting mold to generate a next-generation MMV chip.
Similar repetitive forward and backward transfer experiments were performed with DNA solution, and vacant MMV chips were filled with a reaction buffer and then subjected to PCR. As shown in Figure 3b, the 10th replica was completely replicated, showing that a DNA replica array was also successfully generated. In an independent experiment, cross-contamination between wells was shown to be eliminated by the introduction of a packing spacer (of the same shape as the MMV chip and with a thickness of 0.8 mm) (Figure 1b and see Additional file 5: Figure S4 for actual unit transfer). To our knowledge, this is the first success in perpetual DNA microarray replica formation (DNA microarray replication effective only once for all was reported in a previous study) .
Generation of 1024 conditions (multiple-conditioner)
To exploit the array nature of MMV, we generated 1024 different conditions by applying the “2N method”  (Additional file 11: Figure S10 and Additional file 12). To investigate the crystallization conditions of lysozyme, ten types of template MMVs were used to generate 210 (=1024) different conditions (Figure 2a). The conditions ranged from pH 2.9 to 9.6 and from 0 to 1.5 M NaCl (Additional file 13: Figure S11a). Typical crystal images that were obtained are shown in Figure 2b and Additional file 13: Figure S11, and they comprised type I (0.1–0.2-mm large tetragonal), type II (tetragonal larger than 0.2 mm), type III (0.03 mm or smaller microcrystalline), and type IV (needle-like) crystals. This result showed the most optimal conditions (pH 8.6 and 0.6 M NaCl) for generating the largest crystal (0.65 mm; Additional file 13: Figure S11a and b) of lysozyme as well as the conditions under which other types of crystals can be obtained. This crystal size of lysozyme seems to be relatively large, although one of 1.6 mm has recently been reported . The sample amount required for a single condition was in the mg range for that experiment, but only 10 μg (100-fold smaller) for ours.
Microbiome analysis without dependence on NGS
Identifying all the members of microbiome found in an ecosystem is important for genuine understanding. Accordingly, next-generation sequencing (NGS), which is a powerful, but expensive technique has been used for microbiome analysis [22–24]. The amount of information obtained using this method is often too great for the mere identification of organisms.
Another method could identify the species of organisms with cost-effective performance, i.e., genome profiling (GP) . In this study, we investigated the possibility of MMV-dependent GP analysis of microbiomes. Its entire procedure is shown in Figure 4a. Several crucial features are included in this method; they are as follows: i) limiting the dilution of organisms constituting a microbiome entity into a single cell, ii) performing single-cell PCR by random PCR, iii) performing GP analysis using micro-temperature gradient gel electrophoresis (μTGGE), and iv) obtaining the sequence information of each cloned organism. The first feature can be achieved with the aid of multiple MMV microvessels to reduce the quantity of reagents required. In this study, dispersion of some of the flocculated bacteria was found to be a problem. However, this problem was substantially addressed, as shown in Methods (enzymatic treatment and sonication, although approximately 1% of the number of flocs remained after this treatment). The second feature addresses the difficulty of single-cell PCR  and the lack of a common PCR primer for all microbes. Fortunately, random PCR is in effect, which is a universal PCR that can be applied to any organism using the same primer . Thus, we could easily overcome this problem. Much experience with single-cell PCR has been accumulated both worldwide [28–30] and in our laboratory .
Thus, it is no longer difficult to perform single-cell PCR, if precautions are taken to avoid adsorption loss and DNA contamination. The third feature (GP analysis using μTGGE) is supported by prior experience [25, 26, 31–34]. The final feature can be realized by another benefit of the GP method, i.e., the existence of easily assignable (from its band pattern in the electrophoresis) and PCR-recoverable DNA, namely, a commonly conserved genetic fragment (ccgf)  that can be amplified from DNA extracted from a gel band using the same primer adopted for random PCR.
With solutions to each technical challenge, oral microbes were used as a test case and subjected to the entire NGS-non-dependent microbiome analysis (NNMA) shown in Figure 4a.
Figure 4b clearly demonstrates that some MMV wells generated distinct genome profiles (original data in Additional file 14: Figure S12) by the GP method, suggesting a successful microbial cell distribution in different MMV wells and extraction and amplification of DNA in each well. The DNAs recovered from the μTGGE gel as ccgfs were further analyzed by conventional cloning and sequencing analysis, and the resulting DNA sequences were subjected to BLAST analysis (Figure 4c). In this analysis, Leuconostoc citreum, Haemophilus parainfluenzae, Rothia dentocariosa, R. mucilaginosa, Aspergillus nidulans, Cronobacter sakazakii, and Psychrobacter sp. were tentatively identified based on sequence similarity with organisms in the NCBI database (see Additional file 15: Table S2). Because all these microbes can be assigned as stable or transient oral inhabitants, this finding strongly supported the inference that NNMA analysis was performed without obstacles.
The genome profiles and species identification dots (spiddos) that were obtained in this analysis (Figure 4b) were subjected to clustering analysis (Figure 4d), in which clones were assigned to possible species based on their own ccgf DNA sequence (Figure 4c and Additional file 15: Table S2).
In this experiment, not all but only some clones (47 of them) appearing in an MMV plate were processed to test the feasibility of the entire NNMA process because this number was sufficient to confirm experimental success. The same microbiome analysis was performed three times, with all tests performed using possible clones and their genome profiles (spiddos) (Additional file 16: Table S3), thereby supporting the effectiveness of the NNMA method.
In this paper, we have established the basic technology for the MMV handling and three typical applications of the MMV method: replica generation, generation of 1024 conditions, and microbiome analysis. The original solution (containing DNA or cells) can be repeatedly used for replica generation. According to the requirement, replicas containing defective wells can be repaired by the operation of a nanoliter-dispensing robot (see Additional file 3: Figures S2 and Additional file 17: Figure S13). In effect, this technology enables us to produce DNA, cell, and even protein arrays easily and endlessly. The quality of the replica thus generated is sufficiently reliable if MMV is loaded with samples in multiples of 10 (because the expected defect rate is <1 in 10, implying that more than 9 of 10 wells are intact). In addition, the use of a higher-quality MMV chip mold (a matter of cost) is empirically known to improve the defect rate greatly. Moreover, monitoring the content of each individual well (parameters such as volume, temperature, and conductivity) is within our scope and achieved by semiconductor technology.
Another important point is that the success of cell-to-cell (C2C) and DNA-to-DNA (D2D) replications implies that by combining cell-to-DNA (C2D) (Figure 4) and DNA-to-peptide/protein (D2P)  (Additional file 18: Figure S14), we can achieve C2D2P, thus beginning with cells and ending with a protein (peptide) microarray, an outcome that was never attainable before.
We generated 1024 conditions for lysozyme crystallization. This application of MMV is unexpectedly powerful and widely applicable because it circumvents lengthy and time-consuming preparation processes and spares reagents. The crystallization study described here was performed only to demonstrate the utility and capacity of the 1024-well MMV technology (because such research has already been performed [17, 21, 35–37]), and to show that a high volume of information can be readily obtained with high performance. In this experiment, we obtained crystals that were larger than 200 μm in a much smaller volume (0.5 μL) than that used in previous studies [21, 35, 36], thus sparing samples and reagents by about 100-fold in comparison with conventional approaches, although a more competitive (∼150-fold) reduction technique has been reported that employs 81 microwells and a specially fabricated apparatus . Additionally, we evaluated the reproducibility of the optimal crystallization conditions at the 50 μL scale, resulting in crystals that were around 0.65 mm long (Additional file 13: Figure S11b). If necessary, a more statistically reliable and realistic approach can be applied to examine each condition in quadruplex or octuplex. Even in an octuplex test, more than 100 conditions can be readily examined in a single MMV chip test, with only 4 μL (0.5 μL × 8) consumed per condition.
The conditions that can be examined are not only those for crystallization of proteins, but also those for the combinatorial effect of biological factors (hormones, cytokines, and others) on induction of cell differentiation such as iPS (induced pluripotent stem cell) induction. In the field of medicinal chemistry, more effective drug combinations (synergy effect) may be easily found owing to the readiness in generating multiple conditions with ease and low cost. Because chemical and biological experiments originally require surveys over a wide experimental range and multiple assays, the problems of cost, labor, and time-consuming processes, which have inhibited desirable experiments, can be revolutionarily solved by the MMV approach.
Furthermore, the NNMA system is a potential method for identifying the component species of microbiomes. To date, we have had no effective method to analyze a huge microbiome population mainly because we lacked an appropriate container to accommodate a large number of microbes separately and efficiently, i.e., accommodating a single organism per well and enabling a series of DNA extraction processes, PCR amplification, and DNA sequence analysis in multiples with an affordable cost in reasonable time. This situation was, for the first time, overcome by the advent of NGS, a technology worthy of the intensive attention of microbiologists. However, NGS is not always effective; it is very expensive, and the raw data generated is generally too difficult to process except by bioinformatics specialists. A significant amount of data accordingly remains unprocessed. In contrast, the NNMA system enables microbiologists to design and complete their study on their own.
The following potential advantage of NNMA over NGS further supports this approach: NNMA can deal with an organism as a whole, whereas NGS yields a mixture of genome fragments for analysis. Thus, the latter renders it impossible to further investigate the organism, as it is theoretically difficult to detect extreme minorities such as one or fewer in 1000, whereas NNMA offers the possibility of detecting, in principle, a minority of 1 in 10000 if twenty or more 1024-well MMV plates are used in the dilution with the expectation of 0.5 cell/well. This is the essential difference between the NGS and NNMA approaches.
A few points remain to be improved for the NNMA analysis, including an increase in the output of μTGGE with sample scale reduction. The realization of scale reduction will eliminate the scale-up step required in the current NNMA process (Figure 4a). Another goal is to develop a means of complete deflocculation (although this is a classical and difficult problem [38, 39]), because in the present experiment, flocs were still present (Additional file 19: Figure S15), consistent with our observation that DNAs from a single well of MMV are sometimes assigned to different species (Additional file 15: Table S2). This observation is noteworthy because the current NNMA system, although it remains to be improved in techniques outside the MMV technology proper, has already succeeded in extracting DNAs from microbes, from either single or flocculated cell(s), and amplifying, analyzing, and assigning them to species using MMV-based technology—a feat never achieved by conventional approaches such as microplate-based technologies.
In this study, all necessary basic skills and tools for the MMV operations have been described. Moreover, highly usable application methods have been proposed.
In addition, there are other potentially powerful applications. Among them are the function-based selection of possible drug molecules termed as panning on microarray MMV (POMM) (Additional file 18: Figure S14) and All-In-One and All-At-Once (AI/AO) (Table 2). The former (POMM) is a multistep reaction experiment, comprising PCR, replica formation, enzymatic reactions (transcription/translation), and fluorescence detection supported by multiple operations of well-to-well transfers. The latter is simple and wide ranging, such that the diversities of its usage are open to researchers, particularly when pre-charged MMVs with various samples such as buffers, DNAs, enzymes, bead-bound antibodies, and cells are available from commercial sources in the future. If necessary, all one has to do is to purchase a pre-charged MMV with diverse conditions and overlay it on an experimenter's MMV (containing one's own samples). Similarly, an analyst can identify the optimal medium for culturing a particular cell (iPS or cancer cell) using an MMV of a combinatorial set of factors (generated by the 2N method).
The MMV technology has the merits of simple operation, rapidity, economy, reduced error rate, and flexibility to both classical microscope-based technologies (phase-contrast, fluorescence, and others) and emerging semi-conductor-based technologies (Additional file 20: Figure S16).
The plastic-based MMV chip enabled us to develop an easy-to-handle and quantitative system in handling sub-μL volumes. It also facilitated the development of a set of necessary unit technologies for MMV operation such as input, output, division, filtering of solutions, and others. This development has led to genuinely novel methods such as 1024-parallel Cell-to-DNA-to-Protein/Peptide (C2D2P) and NNMA.
In addition, MMV can reduce experimental time and cost drastically (Additional file 21: Table S4).
The most basic nature of the MMV technology can be represented by the facts that the liquid in an MMV well does not fall by the gravity and is less volatile due to the narrow aperture area, easily thermo-conductive due to the small volume, and readily mixed by convection.
Polycarbonate (PC) MMV chips were developed in a joint project, involving most of the authors, which was sponsored by JST, and were finally obtained from Enplas Corporation. The MMV chip has an overall dimension of 2.5 × 2.5 cm2, with diameter, depth, and volume of 0.6 mm, 2 mm, and 0.5 μL, respectively (Figure 1a). PC MMV is classified into the two following types according to the chip's bottom: i) PC molded and ii) transparent sheet pasted. For microscopic observation, the second type is used. Silicone rubber or PDMS was also used for fabricating flexible well-size MMV chips .
Charging and discharging of liquid into MMV (I-mode)
Initial charging of sample into wells can be achieved by centrifugation force as shown in Figure 1c; with excess solution covering the top surface of MMV, it was centrifuged at 1400 g for 1 min to fill all the wells with solution and evacuate the remaining solution from MMV wells (Figure 1c).
As I-mode is a kind of dump transfer, a specific one-by-one transfer is carried out by P-mode as written in Table 1. In order to prevent evaporation, MMV was sealed with silicone tape (Rescue Tape), and to remove liquid from MMV wells, centrifugation was applied to the MMV placed upside down (at 1400 g for 2 min) (Additional file 6: Figure S5). One MMV chip can be repeatedly reused by several rounds of washing with ultrapure water and/or 70% ethanol by centrifugation and ultrasonic vibration. Liquid can be transferred from one well of an MMV to another well of an opposing MMV by centrifugation. A silicone-PET-adhesive spacer (0.2-mm thick with 0.6-mm wide holes) (Finetech) was fixed on the donor MMV and then the acceptor MMV was firmly laid against it (Figure 1b). The liquid moves from the donor to the acceptor MMV through the thin channel in the spacer without evaporation or adsorption losses.
Further, to add a droplet solution, S-mode operation (Additional file 2: Figure S1) was applied. This type of spacer was repeatedly used, and, if necessary, the thickness and/or hole patterns of the spacer were changed. Layers from bottom to top, namely MMV (used as support), a bottom-side-adhesive film attached to the MMV, and a spacer of desired thickness and hole pattern, were constructed and matched to charge the wells with the solution in the square method.
Selective addition to specific wells (F-mode)
For this purpose, different types of filter spacers were produced (Finetech) and used (examples in Figure 2a). These spacers are adhesive and contain different surface patterns of holes and without holes, enabling selective transfer of samples to the acceptor MMV. As an alternative solution, template MMVs having a specific pattern of open and closed wells can be used for the same purpose. Such templates could be formed using PDMS and a laser patterning machine .
To prevent adsorption of biomolecules on MMV surfaces, MMVs were mainly surface coated with a solution of 0.1% (w/v) bovine serum albumin (BSA), obtained from Sigma-Aldrich, by centrifugation (at 1400 g for 1 min). These were used for cell culturing, PCR, and other operations. The aperture of this MMV was sealed with silicone tape and incubated overnight at 4°C. After incubation, the solution was removed by centrifugation (O-mode), and the MMV was dried at room temperature for 1 h.
A typical example of replica formation is shown in Additional file 4: Figure S3, where a cherry blossom pattern was formed on MMV using two colors (Elements 1 and 2). Element 1 was charged in E1-MMV using a #1 filter with a thickness of 0.3 mm and a hole diameter of 0.5 mm for expression of the cherry blossom pattern. E2-MMV contained Element 2 in the complementary pattern of Element 1. Here, Element 1 was a DNA (Aβ 42-binding peptide gene)-containing PCR mixture, whereas Element 2 contained no DNA. The PCR mixture comprised 1× FB I buffer (Takara), 250 μM dNTP mixture, 0.04 μM CA primer (5′-CAACACACCACCCACCCAAC-3′), and 0.025 U/μL SpeedSTAR HS DNA polymerase (Takara). Both E1- and E2-MMVs were subjected to PCR and then combined to generate the original MMV. This original MMV was used for the replica formation by a stamping method wherein a spacer with a thickness of 0.8 mm and hole diameter of 0.6 mm (Finetech) was interposed between the original (donor) and the acceptor MMVs. The centrifugal transfer (1300 g for 1 min) from the donor to the acceptor MMV was reversed just after the first transfer, resulting in the generation of an MMV in which a very small aliquot remained. This aliquot can serve as a seed for PCR amplification (DNA), thus reproducing a replica.
A replica of cells is generated by a similar operation as described above. For this demonstration, GFP-plasmid-harboring Escherichia coli cells were used and cultured in LB broth [0.5% (w/v) yeast extract, 1% (w/v) tryptone, and 1% (w/v) NaCl with 0.1 μg/μL ampicillin and 1 mM IPTG]. Here, Element 1 corresponds to GFP-harboring E. coli and Element 2 to LB medium without cells.
MMV setup in a conventional thermocycler
In a conventional thermocycler (Bio-Rad C1000 Touch), for better heat conduction, a copper plate was inserted between the PCR block and the MMV chip. In addition, MMV was sealed with silicone tape, occluded with aluminum foil, and installed in the thermocycler. Silicone rubber was used to closely pack the MMV to protect against pressure.
Imaging of MMV reaction products
The staining of PCR products with SYBR Green I (Lonza) was performed using a shallow well MMV (0.1 μL/well) according to the manufacturer’s instructions. Before the transfer (1300 g for 1 min) of the dye from the shallow MMV to the PCR-product-containing MMV, the contents of the latter were reduced in advance by dry air-driven evaporation (lid was left open on a clean bench for few minutes) to make space for the solution to be transferred. Further, MMV with stained DNA was monitored using a fluoroimager (Molecular Imager FX, Bio-Rad). MMV with E. coli cells was visualized by FITC staining and monitored using the same fluoroimager.
We applied the 2N method to test 1024 different conditions for lysozyme crystallization (Additional file 11: Figure S10 and Additional file 12). Lyophilized powder of lysozyme (Sigma-Aldrich) was dissolved in 5 mM MES buffer (pH 6.6) [final concentration of 28% (w/v), final volume of 1 mL]. This solution was carefully vortexed to eliminate any visible flocs of lysozyme and filtered through a membrane filter (0.2-μm pore size), and the supernatant was collected for use in the crystallization experiment. Stepwise different pH values were generated with filter spacers of F0, F1, F2, F3, and F4 (Figure 2a; S-mode operation) charged with approximately 40 nL of 1 M sodium citrate buffer (pH 2.9), 1 M sodium acetate buffer (pH 3.9), 1 M MES-NaOH (pH 6.6), 1 M Tris–HCl (pH 8.5), and 1 M glycine buffer (pH 9.6), respectively. For the condition of a different ionic strength, filter spacers of F5, F6, F7, F8, and F9 were charged with approximately 40 nL of 1 M, 2 M, 3 M, 4 M, and 5 M NaCl solution, respectively. To equalize the volume of solution added to each well, distilled water was added to the wells not charged with any of F0–F9 using the templates complementary to F0–F9 (the well position of Fi is not a well in and inversely, a nonwell position of Fi is assigned as a well in i = 0, 1, 2). Finally, lysozyme solution (280 mg/mL) was added (approximately 40 nL) to the wells. The crystallization was performed by leaving the MMV in the middle of a closed container (10 cm × 10 cm × 10 cm) with its interior soaked with 500 mL of 2 M ammonium sulfate at 20°C for one day to one week. Each well was monitored with an inverted microscope (IM; Olympus, Tokyo, Japan).
NGS-non-dependent microbiome analysis
A saliva sample was collected from one of the authors (with their consent), by themselves 5 h after brushing and with no intake of food in this period. This sample-collection was performed with the permission of the Saitama University Ethical Committee on Human-related Research. For sample collection, two small, sterile sponge pieces were kept bitten in the mouth for 5 min and then dipped in 1 mL of Dulbecco’s phosphate buffered saline [DPBS (−)] (pH 7.4) (Wako Pure Chemical Industries, Ltd.). The saliva was squeezed out of the sponge pieces and was dissolved in PBS and subjected to centrifugation for 5 min at 1470 g. The supernatant was discarded; the pellet was dissolved in 200 μL of DPBS (−) buffer and stored in 13% glycerol at −80°C.
Deflocculation and cell counting
To dissolve the flocs of cells, 1 μL of the oral sample was treated with 9 μl of DPBS (−) buffer and 200 pg/μL proteinase K. This solution was sonicated for 40 s, incubated at 55°C for 1 h and at 95°C for 5 min, and then again sonicated for 40 s. This deflocculation-treated solution was subjected to staining with 10000× diluted SYBR gold solution, and cells were counted using a Neubauer improved cell counting chamber.
Single-cell DNA extraction
The oral microbes were suspended in bacterial cell lysis reaction buffer containing 10 mM Tris–HCl (pH 8.0), 0.025% BSA, 0.10% Tween 20 (Wako Pure Chemical Industries, Ltd.), and 0.75% polyethylene glycol 8000 (PEG8000, Sigma-Aldrich) to obtain a concentration of 300 cells/700 μL and to lyse the cells. Moreover, achromopeptidase [0.004% (w/v), Wako Pure Chemical Industries, Ltd.] solution was added to this extraction mixture. The resulting solution was immediately charged into a shallow well-type MMV (0.14 μL/well capacity) and then transferred to a full volume-type MMV (0.5 μL/well capacity) by Z-mode transfer and incubated at 37°C for 1 h and then at 95°C for 10 min.
Single-cell random PCR
PCR mixture containing 200 μM dNTPs (N = G, A, T, or C), 0.7 μM primer pfM 19 (5′-CAGGGCGCGTAC-3′), 10 mM Tris–HCl (pH 8.3), 50 mM KCl, 1.5 mM MgCl2, 0.03 U/μL Taq DNA polymerase (Takara), and an additional solution of 0.025% BSA, 0.75% PEG 8000, and 0.1% Tween 20 were loaded into the MMV treated with bacterial cell lysis reaction buffer. A dodecamer primer, pfM 19, was used for random PCR. The MMV chip was sealed tightly with silicone tape and aluminum foil to prevent evaporation of the reaction mixture during PCR.
To minimize the amplification of undesirable DNAs such as primer dimers, the PCR program comprising the two following series was chosen: i) 15 cycles of denaturation at 94°C for 30 s, annealing at 26°C for 60 s, and extension at 72°C for 60 s and ii) 20 cycles of denaturation at 94°C for 30 s, annealing at 60°C for 60 s, and extension at 72°C for 60 s. PCR was performed using an MMV PCR machine (Lifetech) or a conventional thermocycler (Bio-Rad C1000 Touch).
After PCR, the MMV was stained with SYBR green I and monitored using a fluoroimager. MMV wells showing high fluorescence (dark pixels) were selected for scale-up PCR and transferred to a 96-well PCR plate. For scale-up PCR, a PCR mixture that composed of 200 μM dNTPs (N = G, A, T, or C), 0.7 μM primer pfM 19, 10 mM Tris–HCl (pH 8.3), 50 mM KCl, 1.5 mM MgCl2, and 0.02 U/μL Taq DNA polymerase (Takara) was used. Samples were amplified by 15 cycles of denaturation at 94°C for 30 s, annealing at 26°C for 60 s, and extension at 72°C for 60 s.
PCR product analysis
Random PCR products were analyzed using μTGGE, which can extract sequence-specific information of double-stranded DNA without sequencing (Figure 4b and Additional file 12). Each profile was assigned genome-specific feature points called spiddos, and PaSS (pattern similarity score) was calculated (Additional file 12). The genome distance d G , defined as the value of 1 − PaSS, was subjected to clustering analysis to construct a phylogenetic tree using the neighbor-joining method with Phylip 3.69 and MEGA 5.1 software.
Microarray with manageable volumes
Micro-temperature gradient gel electrophoresis
- Spiddos :
Species identification dots
- PaSS :
Pattern similarity score
Next generation sequencing
NGS-non-dependent microbiome analysis
Commonly conserved genetic fragment
Induced pluripotent stem cell.
Sundberg SA: High-throughput and ultra-high-throughput screening: solution- and cell-based approaches. Curr Opin Biotechnol. 2000, 11: 47-53.
Kornienko O, Lacson R, Kunapuli P, Schneeweis J, Hoffman I, Smith T, Alberts M, Inglese J, Strulovici B: Miniaturization of whole live cell-based GPCR assays using microdispensing and detection systems. J Biomol Screen. 2004, 9: 186-195.
Jang JS, Simon VA, Feddersen RM, Rakhshan F, Schultz DA, Zschunke MA, Lingle WL, Kolbert CP, Jen J: Quantitative miRNA expression analysis using Fluidigm microfluidics dynamic arrays. BMC Genomics. 2011, 12: 144-
van Doorn R, Klerks MM, van Gent-Pelzer MPE, Speksnijder AGCL, Kowalchuk GA, Schoen CD: Accurate quantification of microorganisms in PCR-inhibiting environmental DNA extracts by a novel internal amplification control approach using Biotrove OpenArrays. Appl Environ Microbiol. 2009, 75: 7253-7260.
Didelot A, Kotsopoulos SK, Lupo A, Pekin D, Li X, Atochin I, Srinivasan P, Zhong Q, Olson J, Link DR, Laurent-Puig P, Blons H, Hutchison JB, Taly V: Multiplex picoliter-droplet digital PCR for quantitative assessment of DNA integrity in clinical samples. Clin Chem. 2013, 59: 815-823.
Baker M: Digital PCR hits its stride. Nat Methods. 2012, 9: 541-544.
Vyawahare S, Griffiths AD, Merten CA: Miniaturization and parallelization of biological and chemical assays in microfluidic devices. Chem Biol. 2010, 17: 1052-1065.
Srisa-Art M, de Mello AJ, Edel JB: High-throughput DNA droplet assays using picoliter reactor volumes. Anal Chem. 2007, 79: 6682-6689.
Gan R, Yamanaka Y, Kojima T, Nakano H: Microbeads display of proteins using emulsion PCR and cell-free protein synthesis. Biotechnol Prog. 2008, 24: 1107-1114.
Boulanger J, Muresan L, Tiemann-Boege I: Massively parallel haplotyping on microscopic beads for the high-throughput phase analysis of single molecules. PLoS One. 2012, 7: e36064-
Kim DS, Lee KC, Kwon TH, Lee SS: Micro-channel filling flow considering surface tension effect. J Micromech Microeng. 2002, 12: 236-
Zhang YH, Ozdemir P: Microfluidic DNA amplification - a review. Anal Chim Acta. 2009, 63: 115-125.
Delamarche E, Juncker D, Schmid H: Microfluidics for processing surfaces and miniaturizing biological assays. Adv Mater. 2005, 17: 2911-2933.
Lilliehorn T, Nilsson M, Simu U, Johansson S, Almqvist M, Nilsson J, Laurell T: Dynamic arraying of microbeads for bioassays in microfluidic channels. Sensor Actuator B Chem. 2005, 106: 851-858.
Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Irzyk GP, Jando SC, Alenquer MLI, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, et al: Genome sequencing in microfabricated high-density picolitre reactors. Nature. 2005, 437: 376-380.
Salimullah M, Mori M, Nishigaki K: High-throughput three-dimensional gel electrophoresis for versatile utilities: a stacked slice-gel system for separation and reactions (4SR). Genomics Proteomics Bioinformatics. 2006, 4: 26-33.
Kinoshita Y, Tayama T, Kitamura K, Salimullah M, Uchida H, Suzuki M, Husimi Y, Nishigaki K: Novel concept microarray enabling PCR and multistep reactions through pipette-free aperture-to-aperture parallel transfer. BMC Biotechnol. 2010, 10: 71-
Dill K, McShea A: Recent advances in microarrays. Drug Discov Today Technol. 2005, 2: 261-266.
Zhou SM, Cheng L, Guo SJ, Zhu H, Tao SC: Functional protein microarray: an ideal platform for investigating protein binding property. Front Biol. 2012, 7: 336-349.
Kim J, Crooks RM: Replication of DNA microarrays prepared by in situ oligonucleotide polymerization and mechanical transfer. Anal Chem. 2007, 79: 7267-7274.
Hekmat D, Hebel D, Joswig S, Schmidt M, Weuster-Botz D: Advanced protein crystallization using water-soluble ionic liquids as crystallization additives. Biotechnol Lett. 2007, 29: 1703-1711.
Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M, Magris M, Hidalgo G, Baldassano RN, Anokhin AP, Heath AC, Warner B, Reeder J, Kuczynski J, Caporaso JG, Lozupone CA, Lauber C, Clemente JC, Knights D, Knight R, Gordon JI: Human gut microbiome viewed across age and geography. Nature. 2012, 486: 222-227.
Liu B, Faller LL, Klitgord N, Mazumdar V, Ghodsi M, Sommer DD, Gibbons TR, Treangen TJ, Chang YC, Li S, Stine OC, Hasturk H, Kasif S, Segre D, Pop M, Amar S: Deep sequencing of the oral microbiome reveals signatures of periodontal disease. PLoS ONE. 2012, 7: e37919-
Wang J, Qi J, Zhao H, He S, Zhang Y, Wei S, Zhao F: Metagenomic sequencing reveals microbiota and its functional potential associated with periodontal disease. Sci Rep. 2013, 3: 1843-
Nishigaki K, Naimuddin M, Hamano K: Genome profiling: a realistic solution for genotype-based identification of species. J Biochem. 2000, 128: 107-112.
Kouduka M, Matsuoka A, Nishigaki K: Acquisition of genome information from single-celled unculturable organisms (radiolaria) by exploiting genome profiling (GP). BMC Genomics. 2006, 7: 135-
Sakuma Y, Nishigaki K: Computer prediction of general PCR products based on dynamical solution structures of DNA. J Biochem. 1994, 116: 736-741.
Kurimoto K, Yabuta Y, Ohinata Y, Ono Y, Uno KD, Yamada RG, Ueda HR, Saitou M: An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis. Nucleic Acids Res. 2006, 34: e42-
Frumkin D, Wasserstrom A, Itzkovitz S, Harmelin A, Rechavi G, Shapiro E: Amplification of multiple genomic loci from single cells isolated by laser micro-dissection of tissues. BMC Biotechnol. 2008, 8: 17-
White AK, Heyries KA, Doolin C, VanInsberghe M, Hansen CL: High-throughput microfluidic single-cell digital polymerase chain reaction. Anal Chem. 2013, 85: 7182-7190.
Naimuddin M, Kurazono T, Nishigaki K: Commonly conserved genetic fragments revealed by genome profiling can serve as tracers of evolution. Nucleic Acids Res. 2002, 30: e42-
Kouduka M, Sato D, Komori M, Kikuchi M, Miyamoto K, Kosaku A, Naimuddin M, Matsuoka A, Nishigaki K: A solution for universal classification of species based on genomic DNA. Int J Plant Genomics. 2006, 2007: Article ID 27894-
Ahmed S, Komori M, Tsuji-Ueno S, Suzuki M, Kosaku A, Miyamoto K, Nishigaki K: Genome profiling (GP) method based classification of insects: congruence with that of classical phenotype-based one. PLoS One. 2011, 6: e23963-
Hamano K, Tsuji-Ueno S, Tanaka R, Suzuki M, Nishimura K, Nishigaki K: Genome profiling (GP) as an effective tool for monitoring culture collections: a case study with Trichosporon. J Microbiol Methods. 2012, 89: 119-128.
Judge RA, Jacobs RS, Frazier T, Snell EH, Pusey ML: The effect of temperature and solution pH on the nucleation of tetragonal lysozyme crystals. Biophys J. 1999, 77: 1585-1593.
Hebel D, Urdingen M, Hekmat D, Weuster-Botz D: Development and scale up of high-yield crystallization processes of lysozyme and lipase using additives. Cryst Growth Des. 2013, 13: 2499-2506.
Li F, Robinson H, Yeung ES: Automated high-throughput nanoliter-scale protein crystallization screening. Anal Bioanal Chem. 2005, 383: 1034-1041.
Rickard AH, Gilbert P, High NJ, Kolenbrander PE, Handley PS: Bacterial coaggregation: an integral process in the development of multi-species biofilms. Trends Microbiol. 2003, 11: 94-100.
Nagaoka S, Hojo K, Murata S, Mori T, Ohshima T, Maeda N: Interactions between salivary Bifidobacterium adolescentis and other oral bacteria: in vitro coaggregation and coadhesion assays. FEMS Microbiol Lett. 2008, 281: 183-189.
Naimuddin M, Kurazono T, Zhang Y, Watanabe T, Yamaguchi M, Nishigaki K: Species-identification dots: a potent tool for developing genome microbiology. Gene. 2000, 261: 243-250.
This research was supported by grants from the Japan Science and Technology Agency, Development of Systems and Technology for Advanced Measurement and Analysis and partly by a grant for the City Area Program (Saitama Metropolitan Area) from the Ministry of Education, Culture, Sports, Science, and Technology.
Nine of the authors are affiliated with four commercial organizations: SF, MiSa and KK with Janusys Corporation, MaS, KS and OT with Lifetech Co., Ltd., ST and TW with Enplas Corporation, and HY with Finetech Corporation. The corresponding author (KN) was financially supported in 2010 by Lifetech Co. Two of the authors (KK and NN) hold shares of Janusys Corporation. The following patents related to this paper are applied by some of the authors: Patent Application Publication No. 2013–195370 (YK, SA, ST, HY, OT, KN). Patent Application No. 2013–177214 (YK, SF, HY, KK, OT, KN). The authors declare that they have no other competing interests.
HS performed the NNMA experiment and wrote/co-edited the manuscript. YK and SF developed the MMV basic handling technologies and performed the lysozyme crystallization and replica generation experiments, respectively. SN, MiSa, and SA initiated and developed the NNMA, MMV-cell-based assay, and MMV-based peptide screening experiments, respectively. MaS, KS, and OT chiefly contributed to manufacturing the MMV robot. ST, TW, and HY devised the MMV chips and accessories. RK and TK performed the confirmation experiments. HA discussed and performed essential calculations. MiSu and NN discussed and directed this study. KA and HU established the MMV-fluorescence detection. KK and OT (again) contributed to jointly organizing, discussing, and directing this joint research. KN conceived, organized, and directed the whole research and edited and revised the manuscript. All authors read and approved the final manuscript.