Droplet Microfluidics for Synthetic Biology
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Lawrence Berkeley National Laboratory Recent Work Title Droplet microfluidics for synthetic biology. Permalink https://escholarship.org/uc/item/6cr3k0v5 Journal Lab on a chip, 17(20) ISSN 1473-0197 Authors Gach, Philip C Iwai, Kosuke Kim, Peter W et al. Publication Date 2017-10-01 DOI 10.1039/c7lc00576h Peer reviewed eScholarship.org Powered by the California Digital Library University of California Lab on a Chip View Article Online CRITICAL REVIEW View Journal | View Issue Droplet microfluidics for synthetic biology Cite this: Lab Chip,2017,17,3388 Philip C. Gach,*ab Kosuke Iwai,ab Peter W. Kim,ab Nathan J. Hillsonacde and Anup K. Singh *ab Synthetic biology is an interdisciplinary field that aims to engineer biological systems for useful purposes. Organism engineering often requires the optimization of individual genes and/or entire biological pathways (consisting of multiple genes). Advances in DNA sequencing and synthesis have recently begun to enable the possibility of evaluating thousands of gene variants and hundreds of thousands of gene combinations. However, such large-scale optimization experiments remain cost-prohibitive to researchers following tradi- tional molecular biology practices, which are frequently labor-intensive and suffer from poor reproducibil- ity. Liquid handling robotics may reduce labor and improve reproducibility, but are themselves expensive Received 30th May 2017, and thus inaccessible to most researchers. Microfluidic platforms offer a lower entry price point alternative Accepted 9th August 2017 to robotics, and maintain high throughput and reproducibility while further reducing operating costs through diminished reagent volume requirements. Droplet microfluidics have shown exceptional promise DOI: 10.1039/c7lc00576h for synthetic biology experiments, including DNA assembly, transformation/transfection, culturing, cell rsc.li/loc sorting, phenotypic assays, artificial cells and genetic circuits. Introduction transfection. The resulting derivative organisms are then ana- lyzed for the detection and quantification of desired products Synthetic biology exploits engineering principles and innova- (and/or other relevant proteins/RNAs/metabolites/etc.). Fig. 1 tions in molecular biology, cell biology, and bioinformatics to shows the key steps involved in the synthetic biology process design and construct modified organisms with desired prop- for the selection of highest-performing pathway amongst erties. Synthetic biology has demonstrated significant poten- many possible configurations, the successful implementation tial, for example, in the biomanufacturing of a wide variety of of which demands significant expertise and high-throughput commercially-viable products including pharmaceuticals, bio- instrumentation for biological design, manufacture, and per- fuels, chemicals, and biomaterials.1 Primary techniques to ge- formance screening. Most experiments are performed manu- netically modify organisms can be grouped into two distinct ally and are very labor-intensive, consume large amounts of Published on 10 August 2017. Downloaded by Lawrence Berkeley National Laboratory 23/10/2017 18:29:10. categories: directed evolution and rational design. Directed expensive reagents such as enzymes and synthetic DNA, are evolution uses randomized mutagenesis to generate diverse limited in throughput, and have poor reproducibility. Robotic DNA libraries through a variety of approaches such as gene liquid-handling stations can overcome the throughput and re- shuffling, error-prone PCR, and the use of chemical mutagens producibility limitations, however they are very expensive, or irradiation. Conversely, rational design (potentially leverag- hard to maintain, and consume the same amount of reagents ing biological part characterization data and modeling/com- as manual experiments (Table 1). puter-aided design tools) implements a set of specific genetic Microfluidic systems overcome many of the drawbacks of variants through targeted DNA synthesis/assembly/editing ap- both manual and robotic systems, as they are capable of high proaches. With either technique, exogenous constructs (if throughput, low reagent consumption, and automation. any) are introduced into host organisms by transformation/ Droplet-based microfluidics, in which sub-microliters to picoliters of aqueous phase are encapsulated into monodis- perse droplets, are especially useful for applications requiring a Technology Division, DOE Joint BioEnergy Institute, Emeryville, California parallel experiments at minimal reagent costs. In addition, 94608, USA b Biological and Engineering Sciences, Sandia National Laboratories, Livermore, droplet-based microfluidic technologies enable high- California 94550, USA. E-mail: [email protected], [email protected]; throughput and controlled processes for cell-free, artificial Fax: +1 925 294 3020; Tel: +1 925 294 1260 cells, and genetic circuits applications. Previous review arti- c Fuels Synthesis Division, DOE Joint BioEnergy Institute, Emeryville, California cles have covered the fundamentals of droplet-based micro- 94608, USA d Biological Systems and Engineering Division, Lawrence Berkeley National Lab, fluidics, droplets-in-flow technologies for biological assays, Berkeley, California 94720, USA and flow-based microfluidic methodologies for synthetic 2–4 e DOE Joint Genome Institute, Walnut Creek, California 94598, USA biology. This review focuses on recent advances in droplet- 3388 | Lab Chip,2017,17, 3388–3400 This journal is © The Royal Society of Chemistry 2017 View Article Online Lab on a Chip Critical review Fig. 1 Molecular biology and analytical steps involved in synthetic biology using droplet microfluidic systems. Biological design/build/test engineering cycles include key steps such as DNA synthesis, DNA assembly, DNA transformation, cell culture, and phenotypic analysis, which often require costly and labor-intensive manual processes. Microfluidic systems have the potential to overcome such drawbacks, through enabling high- throughput automated processing with low reagent consumption requirements. Table 1 Comparison of conventional and microfluidic approaches to synthetic biology Synthetic biology steps Conventional high throughput method Droplet microfluidics approach Metabolic pathway design - Biological computer-aided design -N/A and manufacture tools (bioCAD/CAM)121 - Sequence and design repositories de novo oligonucleotide - Controlled pore glass (CPG) column - Not available Published on 10 August 2017. Downloaded by Lawrence Berkeley National Laboratory 23/10/2017 18:29:10. synthesis - Microarray with printing technology122 Gene assembly - Sequential assembly protocol in an automated - Digital microfluidics (MDF)-based multi-step droplet robotic system123 merger10,11,55 - Microarray with micro-wells22,124,125 - Droplet-in-flow merger Transformation - Microtiter plate heat shock and electroporation - DMF-based electroporation and heat shock49 - Automated transformation plating - Droplet-in-flow-based electroporation and heat shock Outgrowth/culture - Microtiter plate incubation in robotic systems - Off-device surfactant-stabilized droplet incubation - On-device incubation - Streaking droplets on an agar plate62 Colony picking -Colony picking robots - Fluorescence-activated droplet sorter (FADS)3,69 - DMF-based sorter - Passive droplet traps Phenotypic assay - Microtiter plate reader - FADS3,69 - Mass spectrometry (MALDI-MS, LC-MS, etc.) - Droplet-in-flow to mass spectrometry18,80,81 - Fluorescence-activated cell sorting (FACS) - DMF to mass spectrometry19 Cell-free and artificial - Vesicle bioreactors126 - Flow focusing and microfluidic jetting for formation cell systems and genetic - Manual formation of bilayer of vesicles16,92 circuits - Observation of genetic circuits as - Droplet interface bilayers95 a cell population in solution or on plates - Droplets on microarray surface15 - Encapsulation of genetic circuits in droplets115,119 This journal is © The Royal Society of Chemistry 2017 Lab Chip,2017,17, 3388–3400 | 3389 View Article Online Critical review Lab on a Chip based microfluidic systems directed explicitly towards syn- molecules are soluble in them, and hence, can be lost from the thetic biology applications, which may become the fastest droplet interior. Most droplet microfluidics rely on fluorocar- growing segment of the worldwide synthetic biology market.5 bon oils and fluorocarbon surfactants, as these are biocompati- Fundamental microfluidics advances, and applications to sys- ble and have low solubility for hydrophobic molecules. Fluoro- tems biology, sequencing, single-cell analysis, and drug carbon oils also have a high gas solubility, required to support screening, (that merely have the potential for future applica- cell culture. While fluorocarbon surfactants have proven effec- tion to synthetic biology) have been purposefully excluded. tive for molecular biology steps and cell culture, they are not compatible with mass spectrometry (for example, the otherwise Droplet microfluidic formats preferred surfactant PicoSurf1 is incompatible with mass spectrometry).18,19 For mass spectrometry applications, A variety of microfluidic systems, each having inherent advan- nanoparticle-based surfactants could be a potential option.20 For tages and disadvantages, support synthetic biology applica- artificial cell applications, phospholipid is typically used instead, tions spanning DNA assembly to single-cell phenotyping. in an organic phase such as chloroform, hexane, and octanol.21