Litcius/Paper detail

Programmable receptors enable bacterial biosensors to detect pathological biomarkers in clinical samples

Hung‐Ju Chang, Ana Zúñiga, Ismaël Conejero, Peter L. Voyvodic, Jérôme Gracy, Elena Fajardo-Ruiz, Martin Cohen‐Gonsaud, Guillaume Cambray, Georges‐Philippe Pageaux, Magdalena Meszaros, Lucy Meunier, J. Bonnet

2021Nature Communications73 citationsDOIOpen Access PDF

Abstract

Bacterial biosensors, or bactosensors, are promising agents for medical and environmental diagnostics. However, the lack of scalable frameworks to systematically program ligand detection limits their applications. Here we show how novel, clinically relevant sensing modalities can be introduced into bactosensors in a modular fashion. To do so, we have leveraged a synthetic receptor platform, termed EMeRALD (Engineered Modularized Receptors Activated via Ligand-induced Dimerization) which supports the modular assembly of sensing modules onto a high-performance, generic signaling scaffold controlling gene expression in E. coli. We apply EMeRALD to detect bile salts, a biomarker of liver dysfunction, by repurposing sensing modules from enteropathogenic Vibrio species. We improve the sensitivity and lower the limit-of-detection of the sensing module by directed evolution. We then engineer a colorimetric bactosensor detecting pathological bile salt levels in serum from patients having undergone liver transplant, providing an output detectable by the naked-eye. The EMeRALD technology enables functional exploration of natural sensing modules and rapid engineering of synthetic receptors for diagnostics, environmental monitoring, and control of therapeutic microbes.

Topics & Concepts

Modular designBiosensorComputational biologyReceptorMicrobiomeComputer scienceBiologyNanotechnologyBioinformaticsMaterials scienceBiochemistryOperating systemCRISPR and Genetic EngineeringBacteriophages and microbial interactionsBacterial Genetics and Biotechnology
Programmable receptors enable bacterial biosensors to detect pathological biomarkers in clinical samples | Litcius