A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
Year: 2018
Type: article
Abstract: There is a need for large-scale, longitudinal studies to determine the mechanisms by which the gut microbiome and its interactions with the host affect human health and disease. Current methods for profiling the microbiome typically utilize next-generation sequencing applications that are expensive, slow, and complex. Here, we present a synthetic biology platform for affordable, on-demand, and simple analysis of microbiome samples using RNA toehold switch sensors in paper-based, cell-free reactions. We demonstrate species-specific detection of mRNAs from 10 different bacteria that affect human health and four clinically relevant host biomarkers. We develop a method to quantify mRNA using our toehold sensors and validate our platform on clinical stool samples by comparison to RT-qPCR. We further highlight the potential clinical utility of the platform by showing that it can be used to rapidly and inexpensively detect toxin mRNA in the diagnosis of Clostridium difficile infections.
Source: Nature Communications
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: Genetic predictors of calprotectin response with anti-TNF and anti-integrin therapy in inflammatory bowel diseases, G3415869647, Genetic predictors of anti-TNF treatment response and infections in IBD, Center for the Study of Inflammatory Bowel Disease at Massachusetts General Hospital, Research Training in Digestive Diseases
OpenAlex ID: W2885265830
