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An Automated Induction Microfluidics System for Synthetic Biology.

Authors: Husser MCVo PQNSinha HAhmadi FShih SCC


Affiliations

1 Department of Biology , Concordia University , Montréal , Québec H4B 1R6 , Canada.
2 Centre for Applied Synthetic Biology , Concordia University , Montréal , Québec H4B 1R6 , Canada.
3 Department of Electrical and Computer Engineering , Concordia University , Montréal , Québec H3G 1M8 , Canada.

Description

An Automated Induction Microfluidics System for Synthetic Biology.

ACS Synth Biol. 2018 03 16;7(3):933-944

Authors: Husser MC, Vo PQN, Sinha H, Ahmadi F, Shih SCC

Abstract

The expression of a recombinant gene in a host organism through induction can be an extensively manual and labor-intensive procedure. Several methods have been developed to simplify the protocol, but none has fully replaced the traditional IPTG-based induction. To simplify this process, we describe the development of an autoinduction platform based on digital microfluidics. This system consists of a 600 nm LED and a light sensor to enable the real-time monitoring of  the optical density (OD) samples coordinated with the semicontinuous mixing of a bacterial culture. A hand-held device was designed as a microbioreactor to culture cells and to measure the OD of the bacterial culture. In addition, it serves as a platform for the analysis of regulated protein expression in E. coli without the requirement of standardized well-plates or pipetting-based platforms. Here, we report for the first time, a system that offers great convenience without the user to physically monitor the culture or to manually add inducer at specific times. We characterized our system by looking at several parameters (electrode designs, gap height, and growth rates) required for an autoinducible system. As a first step, we carried out an automated induction optimization assay using a RFP reporter gene to identify conditions suitable for our system. Next, we used our system to identify active thermophilic ß-glucosidase enzymes that may be suitable candidates for biomass hydrolysis. Overall, we believe that this platform may be useful for synthetic biology applications that require regulating and analyzing expression of heterologous genes for strain optimization.

PMID: 29516725 [PubMed - indexed for MEDLINE]


Links

PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29516725?dopt=Abstract