DOI: https://doi.org/10.29363/nanoge.eimc.2021.009
Publication date: 5th July 2021
Synthetic biology aims to engineer new organisms using engineering principles by modifying their genetic makeup consisting of DNA, RNA, proteins and metabolites. Proteins are of significant interest since they are the machinery of life. Their interactions induce control over the general behaviour of the cells and organisms. Thus, the study of protein-protein interaction (PPI) has broad applications in the pharmaceutical, food and agriculture industries and in the development of environmentally friendly renewables. There are many methods to study PPIs, some of which are yeast two-hybrid systems and affinity purification coupled to mass spectrometry. These are generally coupled with other systems – e.g., NMR, isothermal titration, and colorimetric methodologies to study their kinetics and interactions. Yet, these techniques are slow, which are not ideal for studying weaker interactions. Furthermore, studying PPIs in a cell environment increases the complexity given the requirement to culture cells and to provide maintenance to ensure their high viability. In our work, we present the first cell-free system to study PPIs in a microfluidic device. We use a D2 (droplet-digital) microfluidic device since microfluidics provide conditions that are close to the native state of the protein and use a droplet-digital system since it provides the advantages of control and throughput. Our device consists of several components – (1) on demand electrofusion of droplets of different proteins and inhibitors, (2) on demand picoinjection of different concentrations of fluorescence substrate, (3) kinetics analysis of enzymes interactions using fluorescence readout. As proof of concept, we are studying the interaction of different cellulases enzymes (mainly cellobiohydrolases and betaglucosidases) from different thermophilic organisms in droplets using cell free system. Our goal is to test different combinations of those enzymes to improve cellulose breakdown and study how those combinations could affect the hydrolysis under ionic liquid environment. We anticipate that this device could be used for other applications related to PPI – e.g., studying how new drugs could affect target proteins related to neurodegenerative diseases (e.g., Alzheimer), develop novel biocontrol agents (e.g. amylase inhibitors for fungal control in plants) and discovering new metabolic pathways to produce biofuels.
We thank the Natural Sciences and Engineering Research Council (NSERC), the Fonds de Recherche Natureet technologies (FRQNT), and the Canadian Foundation of Innovation (CFI) for funding. CLA thanks Concordia University department of Electrical and Computer Engineering for FRS Funding, NSERC CREATE SynBioApps program for graduate funding and the Biology Department for academic resources. KS thanks FRQNT B2Xs & NSERC CREATE SynBioApps program for graduate funding. AS thanks the Biology Department for academic resources and funding, and the NSERC CREATE SynBioApps program for graduate funding. FA FRQNT PBEEE and Concordia University department of Electrical and Computer Engineering for FRS Funding. SCCS thanks Concordia for a University Research Chair.