In conclusion, the automation of the complete DNA device creation process, from in-silico design to liquid handling, is a viable goal with currently existing technology. Software and modern robotics allow the creation of workflows that are cost-efficient, time-efficient, and scalable, while also producing more consistently reproducible results than manual methods. While automation may not always be the most cost-effective choice for executing a protocol, it does improve experimental reproducibility and frees up valuable researcher time. However, depending on the hardware utilized, the use of automation can sometimes drive cost and execution time well below what can be achieved through conventional manual methods. Furthermore, automation captures protocols explicitly in a formalized manner preventing ad-hoc, artisanal, and anecdotal best practice based experimentation. Here the automated assembly of modular DNA devices is demonstrated, and the protocol, electronic files, and physical DNA resources needed for the reader to perform these, and similar, experiments on their own are provided.We hope the availability of our tool, and the publication of this protocol will serve as a resource and move the field toward a more transparent and communal future in the area of DNA assembly processes and liquid handling robotics.
The usefulness of automation hardware is largely dependent on the configuration & capabilities of that hardware. For instance, our liquid handler uses system fluid displacement to actuate aspirate and dispense commands. The pistons that drive the system fluid are relatively large 1 mL syringes which, while useful for a range of volumes, imposes a 2 µL lower limit for accurate dispensing of reagents. As a consequence, we scaled up the total volume of cloning reactions set up on the liquid handler to 20 µL, since every dispense command needed to be ≥2 µL. This effectively doubled the cost per reaction for liquid handler-prepped reactions, however the amount of hands-on time required to execute those reactions was significantly reduced. In an effort to address this issue, we repeated the reaction setup for all 96 reactions on an acoustic liquid dispenser. This device uses sound energy to dispense fluid directly from one plate to another, and can achieve dispense volumes far below (2.5 nL) what is possible with standard air displacement based manual pipettes. Using this device, we were able to scale down the total volume of our reactions to 250 nL, a 40-fold reduction compared to manually prepared reactions of 10 µL. Because of the small volumes dispensed, and the lack of tip changes between pipetting steps, the acoustic dispenser was able to generate the same 96 reactions in a fraction of the time (<5 min). The smaller reaction volumes also save on wasted reagents, since we typically only transform 1-3 µL of the reaction. That being said, the use of automation hardware, in conjunction with intuitive software, can make the generation of large numbers of DNA assembly reactions accessible to a much wider academic audience.
Here, we demonstrate the utility of our software tool, however there are a number of features which would help broaden its usefulness. First, each time the tool is used to generate a combinatorial assembly, new DNA part plates must be generated, requiring the scientist to manually populate these plates for every assembly run. It would be helpful, instead, if the scientist could specify the location of parts in a DNA plate to be used in the assembly. This would allow the use of high-throughput plasmid DNA purification kits since researchers could inoculate cultures from a kit like the CIDAR MoClo Library, and purify all samples together while maintaining the well location of each part specified in the kit. Second, the tool currently only supports the use of 96-well plates. For larger projects where several hundred DNA devices need to be built, the number of DNA, reagent, and destination plates may exceed the deck capacity of the liquid handler. This problem could be, at least partially, alleviated by support for higher density plate formats (384 or 1536-well). Lastly, the tool currently only supports a single type of liquid handler and DNA assembly strategy. While it is relatively easy to convert the tool-produced liquid handler instructions to an acoustic dispenser format using spreadsheet software, we hope to expand native support to many different liquid handlers which would greatly broaden its applicability, as would compatibility with other common DNA assembly techniques like Gibson assembly31.
A crucial part of this automated assembly ecosystem is a set of software tools that translates high-level assembly plans into automation friendly protocols that are explicitly scheduled to run on liquid handling robots. Though a number of software tools exist that allow researchers to design assemblies in-silico including Benchling, MoClo Planner, and Raven32, few have the ability to translate those designs into executable instructions to run on a liquid handler. To that end, work such as PR-PR Automation and Puppeteer33,34,35 have begun to make these tools available. In addition, commercial entities working in this area are looking at ways to introduce "cloud labs" which provide experimental services to large groups of end-users via automation. The protocol outlined in this paper could serve as a piece of any of these efforts provided they are presented as a service.
While automated assembly of DNA devices is of immediate and obvious value to synthetic biology, our protocol is useful for the larger community of molecular biologists as well. Automating DNA assembly allows large numbers of known, but similar, genetic devices to be created in parallel and can enable the rapid synthesis of expression libraries for screening and testing purposes in drug development studies. We hope that our software tool will make larger combinatorial-based DNA assembly efforts more accessible, and serve as a useful resource to both the synthetic biology, as well as larger academic community.