A Multiplexed, Automated Evolution Pipeline Enables Scalable Discovery and Characterization of Biosensors

Brent Townshend, Joy S. Xiang, Gabriel Manzanarez, Eric J. Hayden, Christina D. Smolke

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Biosensors are key components in engineered biological systems, providing a means of measuring and acting upon the large biochemical space in living cells. However, generating small molecule sensing elements and integrating them into in vivo biosensors have been challenging. Here, using aptamer-coupled ribozyme libraries and a ribozyme regeneration method, de novo rapid in vitro evolution of RNA biosensors (DRIVER) enables multiplexed discovery of biosensors. With DRIVER and high-throughput characterization (CleaveSeq) fully automated on liquid-handling systems, we identify and validate biosensors against six small molecules, including five for which no aptamers were previously found. DRIVER-evolved biosensors are applied directly to regulate gene expression in yeast, displaying activation ratios up to 33-fold. DRIVER biosensors are also applied in detecting metabolite production from a multi-enzyme biosynthetic pathway. This work demonstrates DRIVER as a scalable pipeline for engineering de novo biosensors with wide-ranging applications in biomanufacturing, diagnostics, therapeutics, and synthetic biology.

Original languageAmerican English
Article number1437
Pages (from-to)1437
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - 4 Mar 2021

Keywords

  • high-throughput screening
  • next-generation sequencing
  • synthetic biology

EGS Disciplines

  • Biology

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