The traditional requirement for clean rooms and specialized skills has inhibited many biologists from pursuing new microfluidic innovations. Makerspaces provide a growing alternative to clean rooms: they provide low-cost access to fabrication equipment such as laser cutters, plotter cutters, and 3D printers; use commercially available materials; and attract a diverse community of product designers. This Opinion discusses the materials, tools, and building methodologies particularly suited for developing novel microfluidic devices in these spaces, with insight into biological applications and leveraging the maker community. The lower barrier to access of makerspaces ameliorates the otherwise poor accessibility and scalability of microfluidic prototyping.

The advancement of synthetic biology requires the ability to create new DNA sequences to produce unique behaviors in biological systems. Automation is increasingly employed to carry out well-established assembly methods of DNA fragments in a multiplexed, high-throughput fashion, allowing many different configurations to be tested simultaneously. However, metrics are required to determine when automation is warranted based on factors such as assembly methodology, protocol details, and number of samples. The goal of our synthetic biology automation work is to develop and test protocols, hardware, and software to investigate and optimize DNA assembly through quantifiable metrics. We performed a parameter analysis of DNA assembly to develop a standardized, highly efficient, and reproducible Modular Cloning protocol, suitable to be used both manually, and with liquid-handling robots. We created a key DNA assembly metric (Q-metric) to characterize a given automation method’s advantages over conventional manual manipulations with regards to researchers’ highest-priority parameters: output, cost, and time. A software tool called Puppeteer was developed to formally capture these metrics, help define the assembly design, and provide human and robotic liquid handling instructions. Altogether, we contribute to a growing foundation of standardizing practices, metrics, and protocols for automating DNA assembly.

Quantification of biology’s central dogma (transcription and translation) is pursued by a variety of methods. Direct, immediate and ongoing quantification of these events is difficult to achieve. Common practice is to use fluorescent or luminescent proteins to report indirectly on prior cellular events, such as turning on a gene in a genetic circuit. We present an alternative approach, PURExpress-ReAsH-Spinach In-vitro Analysis (PERSIA). PERSIA provides information on the production of RNA and protein during cell-free reactions by employing short RNA and peptide tags. Upon synthesis, these tags yield quantifiable fluorescent signal without interfering with other biochemical events. We demonstrate the applicability of PERSIA in measuring cell-free transcription, translation, and other enzymatic activity in a variety of applications - from sequence-structure-function studies, to genetic code engineering, to testing antiviral drug resistance.