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1 Microfluidics Tools for Systems Biology Victor Castellino Abstract— The systems approach to molecular biology seeks to evaluate cell functions by completely characterizing all entities and inter-relationships within the cellular system. Construction, perturbation, and analysis of systems biology models requires automated tools that are capable of high-throughput, parallel processing. Further progress, particularly in the area of proteomics, is greatly hindered by the dimensional and flow constraints on current technology. Integrated microfluidic devices provide a set of tools capable of operating on the scale demanded by proteomic research, offering increased analytical precision and requiring pico- to nanoliter reagent volumes. While several devices have been developed for systems biologists, a lack of modularity, standard design techniques, and devices for sample preparation currently prevent microfluidic technology from becoming commercially viable on a worldwide scale. Keywords— Microfluidics, Systems Biology, Preparation, Miniaturized Total Analysis System development of fundamental principles constraining biological models, perhaps resulting in greater predictive abilities [1]. Feasibility of the systems biology approach strongly depends on two factors. The first of these is the availability of data with which to construct fundamental models. This was addressed by the largely successful Human Genome Project, a critical data mining breakthrough. The second factor is the availability of high throughput analytical tools capable of spatial and temporal data processing. In this regard, micro total analysis systems, and microfluidic technology in particular, promises to provide the fully integrated, automated, high-throughput tools appropriate to the micro- to-nanoscopic scale and large breadth of genomic data. [3] Sample I. INTRODUCTION A. Systems Biology Traditional microbiology has focused on identifying and cataloguing elements of the genetic machinery behind cell function. However, recent advances in the development of high throughput analytical tools, as well as readily available human genomic data have led to a dramatic shift in biological thought. The new methodology, termed systems biology, focuses on examining the relationships between components, rather than on the nature of the components themselves. [1], [2]. The systems approach incorporates the results of data mining and cataloguing efforts into mathematical or other abstract mechanistic models, thus allowing for a preliminary analysis of relationships between elements in the system. The goal of systems biology is to thoroughly characterize system states by introducing and understanding the effects of perturbations [3]. These perturbations can include both direct genetic alterations, such as changes to a DNA base pair sequence, and changes to environmental variables such as temperature and concentration. Kitano suggests that analyzing biological patterns at the systems level will lead to the Manuscript submitted November 1, 2004. V. Castellino is an M.A.Sc candidate from the Department of Chemical Engineering and Applied Chemistry at the University of Toronto, (e-mail: [email protected]). B. Integrated Microfluidic Devices In its simplest form, a microfluidic chip is an integrated device consisting of microchannels and microelectronic control systems. As the common name “lab on a chip” would suggest, one goal of microfluidics research is to reap the potential cost, efficiency, reagent volume and parallel processing benefits associated with scaling down analytical processes [4]. Over the past decade, an increasing research focus on controlled surface interactions, development of integrated microelectromechanical systems (MEMS) including actuators and power supplies, gating, valving and sensory techniques has led to progressively more sophisticated systems [5], [ 6]. However, the lack of tools and techniques for the preparation of complex biological or chemical samples for microfluidic analysis remains an impediment to the construction of devices appropriate to laboratory use. In addition, current trends in microfluidic technology have largely been based on single applications, with industrial issues such as standardization, modularity, and technology transfer often ignored. To fully realize the potential of integrated microfluidic devices, an appropriate methodology must be developed to ensure that sample preparation, processing and analysis can all be conducted efficiently with a standard set of well understood tools. This paper will review key modular microfluidic technologies and their relevance to systems biology, as well as discussing efforts towards component standardization. 2 II. MICROFLUIDICS FOR SYSTEM BIOLOGISTS A. Genomic Tools The most recognizable examples of application specific micro total analysis technology applied to microbiology can be found in the wide variety of microarrays used in genomic analysis. Microarray experimentation involves fixing probe DNA or oligonucleotide strands to a chip surface, then hybridizing fluorescently labeled sample DNA/RNA to the probe strands. In this way, intensity of fluorescence at each fixed point on the chip provides an indication of sample composition [7] One of the most important microfluidic tools available to systems biologists, and in fact to all molecular biologists, is the polymerase chain reaction (PCR). The PCR technique allows for exponential amplification of sample DNA through a cyclical heating and cooling process, where new DNA strands are formed from free deoxyribonucleotides based on templates provided by existing strands [5], [7]. Li et al. describe several approaches to transferring this technique to a portable microchip. These include partially closed-loop chips with three temperature-controlled flow zones as shown in figure 1, and batch reactors. In addition, microfluidic PCR devices have been incorporated onto chips containing secondary analytical components, such as capillary electrophoresis [5]. powerful as PCR and gene microarrays used in genomic research. With limited amounts of sample available covering a broad spectrum of protein concentrations, analytical precision and efficient sample use become critical experimental factors [3], [7]. Estimates for the number of different proteins produced by humans span an order of magnitude, from a hundred thousand to a million. Assembling and analyzing proteomic data as thoroughly as genomic data is beyond the ability of current analytical tools, being very time consuming and computationally expensive. Highly integrated microfluidic devices that can perform multiple experimental steps on one chip are well suited to proteomics for several reasons. First, the scale of the device naturally implies short diffusion, and hence short analysis times. Second, the scale also implies minute reagent requirements. Finally, the scale brings with it a high surface to volume ratio, ideal for reactions dependent on surface interactions [8]. As an example of such an integrated device, Gao et al. have constructed a chip that integrates digestion, separation and identification components onto a polydimethylsiloxane (PDMS) substrate. It requires less than a nanogram of sample, with processing time on the order of minutes [9] While microfluidic tools for proteomic analysis remain far behind genomic tools in terms of sophistication, several high throughput tools for screening and drug discovery have been developed in the form of bioassays. For instance, Guijt et al. have reviewed a series of immunoassays based on microfluidic capillary electrophoresis, including high throughput multiplexed assays [10]. In addition, Li et al. have reviewed devices capable of enzyme-linked-immunosorbant-assay (ELISA), on-chip sensory and control systems,on-chip reactors for heterogeneous bioassays, and coupling with mass spectrometry [5]. III. MICROFABRICATION AND MODULARITY A. Custom Assembly Figure 1: Schematic of PCR implemented on a chip with distinct temperature-controlled regions. Adapted from [7]. B. Proteomic Tools While manufacturing cost and efficiency are certainly important considerations in the development of any technology, systems biologists will perhaps be most interested in the pico-to-nanoliter reagent volumes required for microfluidic analysis. According to Reyes et al., micro total analysis systems were originally motivated by a need for greater analytical precision, rather than for the convenience of scaling down a laboratory [6]. The scale of microfluidic analysis is particularly appealing to proteomic researchers. The proteomic field lacks tools as Even the simplest devices described above were constructed with a specific application in mind. The individual components of each chip are not modular, and can only be transferred to other microfluidic technologies conceptually. In effect, every device is custom made. This approach, while certainly viable in a research and development setting, presents obvious difficulties to large scale commercial and laboratory use in terms of standardization and manufacturing precision. As a result, microfluidic devices have yet to reach the goal of start to finish experimental automation, as many steps must still be performed by hand. For example, the immunoassays reviewed by Guijt et al. still require that prepared sample be pipetted into input wells on the microchip [10]. 3 B. Manufacturing and Design Techniques In order to clarify the need for greater modularity in microfluidic research, the basic techniques by which chips are constructed will be reviewed. Typical substrates include glass, silicon, and PDMS, with each offering different thermal and structural properties. Assembly methods have evolved from microelectronic fabrication techniques, with popular techniques such as soft lithography often used in laboratory research [11]. An example of a channel and well cast in epoxy is shown in figure 2. Extremely precise microfabrication techniques are required, particularly when microeletromechanical systems (MEMS) and other control elements are incorporated into the design. detection mechanisms. Yadavalli and Pishko present fluorescence polarization as a successful method for detecting binding agents in a polydimethylsiloxane (PDMS) immunoassay chip, as shown in figure 3 [12]. While constructed as part of an integrated chip, the schematic is meant to illustrate the detection module in a continuous flow reactor. Research into the design of channel geometries for droplet control, as reported by Tan et al., uses a similar, low-level approach to microfluidics design. Tan et al. focus on flow control at a bifurcation junction, and have examined control of droplet fission, control of daughter droplet concentrations, and control of droplet circulation [13]. Evaluating droplet flow on at this level ensures that their results are almost universally applicable to microfluidic chip design. Figure 2: Microfluidic channel cast in epoxy (SEM image) [11]. As suggested above, applying lithographic and casting techniques to microfluidic device assembly results in a library of custom made molds, one for each device. The result is that experimentation with novel techniques, perhaps a new valving or sensory mechanism, requires prototyping entirely new designs to replace the old. The electronics industry has long since focused on modular design, whether on the scale of individual transistors, or at the level of integrated circuitry. From an engineering perspective, this modularity provides the researcher with a toolkit from which to construct experiments. It further allows for more precise study of each module as a system with controllable parameters. Favorable economic implications of modularity aside, a similar toolkit consisting of reaction, separation, detection, and valving mechanisms analogous to resistors and transistors would offer the systems biologist experimental freedom beyond the current custom design paradigm. C. Module Development A low-level research approach, where the basic elements of the microfluidic system are developed first as building blocks to more complex systems, has already begun to show promising results. For instance, the analytical precision with regards to high-throughput microfluidic technologies stems from the availability of accurate, integrated sensory and Figure 3: Schematic of on-chip fluorescence polarization as part of a microfluidic assay. Adapted from [12]. One area that stands to benefit greatly from the introduction of modular design is that of chemical engineering unit operations. Sample preparation techniques involving solvent extraction, filtration, adsorption, crystallization and sample concentration are well understood, and have long been used by chemical engineers for larger scale applications. Grodzinski et al. point out that current microfluidic technology has focused on the final steps of the analysis process, requiring purified sample DNA or protein as an input [11]. According to Tokeshi et al, the small input volumes and excellent heat transfer properties of microfluidic chips make chip-based capillary electrophoresis speeds comparable, if not superior to the macroscopic equivalent [14]. Adapting traditionally large scale chemical and biological preparation techniques to the microscale is therefore an important step in achieving the desired goal of completely automated, high-throughput parallel analysis. Approaching the separation techniques as modular microunit operations (MUOs) simplifies this process. These are illustrated in figure 4. 4 tools for spatial and temporal analysis with minute input reagent volumes. While many devices supporting critical functions such as PCR and bioassays have reached commercialization, the industry itself is yet to grow beyond its infancy. A major impediment to further growth is the lack of standardization, in that microfluidic device assembly currently requires custom designs from the ground up. A focus on modularity will benefit both industrial and academic research interests, allowing for greater coordination between research groups and reduced manufacturing costs. Most importantly, however, modular biological sample preparation elements are required to fully realize the potential of microfluidic devices in a laboratory setting, eliminating the need for costly and labour intensive preparation equipment. In time, microfluidics will ideally come to offer the systems biologist a toolkit as simple and yet as comprehensive as what an electrical engineer can purchase at any electronics store. REFERENCES Figure 4: Illustration of microfluidic sample preparation implementations [14]. a) Mixing b) Phase formation c) Extraction d) Phase Separation e) Filtration f) Heating Micronics, Inc. of Redmond, WA have begun to develop such separation systems, capable of handling inputs such as whole blood and contaminated water. For example, the Micronics Hematology Cartridge, illustrated in figure 5, is capable of measuring red blood cell and platelet counts from whole blood samples. Moreover, Schulte et al. describe the development of modular, passive mixers, detectors and separators that do not require external power [15]. This represents, perhaps, the first step towards point-of-care applications. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] Figure 5: Micronics Hematology Cartridge [14]. [14] IV. CONCLUSION Microfluidic technology promises to revolutionize systems biology, providing completely automated, high throughput [15] H. Kitano, “Looking Beyond the Details: A Rise in System-Oriented Approaches in Genetics and Molecular Biology,” Curr. Genet., 2002, vol. 41, pp. 1-10. T. Ideker, T. Galitski, L. Hood, “A New Approach to Decoding Life: Systems Biology,” Annu. Rev. Genomics Hum. Genet., 2001, vol. 2, pp. 343-372. AD Weston, L. Hood, “Systems Biology, Proteomics, and the Future of Health Care: Toward Predictive, Preventative, and Personalized Medicine,” Journal of Proteome Research, 2004, vol. 3, no. 2, pp. 179-196. A. Manz, N. Graber, H.M Widmer, “Miniaturized Total Chemical Analysis Systems: A Novel Concept for Chemical Sensing,” Sensors and Actuators B1, 1990, vol. 1, pp 244-248. D. Erickson, D. Li, “Integrated Microfluidic Devices,” Analytica Chimica Acta, 2004, vol. 507, pp. 11-26. D. Reyes, D. Iossifidis, P.A. Auroux, A. 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