Highly multiplexed design of an allosteric transcription factor to sense new ligands

Allosteric transcription factors (aTF) regulate gene expression through conformational changes induced by small molecule binding. Although widely used as biosensors, aTFs have proven challenging to design for detecting new molecules because mutation of ligand-binding residues often disrupts allostery. Here, we develop Sensor-seq, a high-throughput platform to design and identify aTF biosensors that bind to non-native ligands. We screen a library of 17,737 variants of the aTF TtgR, a regulator of a multidrug exporter, against six non-native ligands of diverse chemical structures - four derivatives of the cancer therapeutic tamoxifen, the antimalarial drug quinine, and the opiate analog naltrexone - as well as two native flavonoid ligands, naringenin and phloretin. Sensor-seq identifies biosensors for each of these ligands with high dynamic range and diverse specificity profiles. The structure of a naltrexone-bound design shows shape-complementary methionine-aromatic interactions driving ligand specificity. To demonstrate practical utility, we develop cell-free detection systems for naltrexone and quinine. Sensor-seq enables rapid and scalable design of new biosensors, overcoming constraints of natural biosensors.

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Publication Details

Journal
Nature Communications
Published
2024-11-19
DOI
https://doi.org/10.1038/s41467-024-54260-8
Citations
13
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
3.04

Funders

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article

Highly multiplexed design of an allosteric transcription factor to sense new ligands

Kyle Nishikawa, Svetlana Harbaugh, Jorge L. Chávez, Brian G. Fox et al.
13 citations
Nature Communications
RNA and protein synthesis mechanisms
3.04
article

Highly multiplexed design of an allosteric transcription factor to sense new ligands

Kyle Nishikawa, Svetlana Harbaugh, Jorge L. Chávez, Brian G. Fox, Justin Acheson, M Frenkel, Daniel H. Lee, Jackie Chen, Srivatsan Raman, Phil Huss, Nathan Novy, Hailey R. Sieren, Ella C. Lodewyk
article en
13 citations

Abstract

Allosteric transcription factors (aTF) regulate gene expression through conformational changes induced by small molecule binding. Although widely used as biosensors, aTFs have proven challenging to design for detecting new molecules because mutation of ligand-binding residues often disrupts allostery. Here, we develop Sensor-seq, a high-throughput platform to design and identify aTF biosensors that bind to non-native ligands. We screen a library of 17,737 variants of the aTF TtgR, a regulator of a multidrug exporter, against six non-native ligands of diverse chemical structures - four derivatives of the cancer therapeutic tamoxifen, the antimalarial drug quinine, and the opiate analog naltrexone - as well as two native flavonoid ligands, naringenin and phloretin. Sensor-seq identifies biosensors for each of these ligands with high dynamic range and diverse specificity profiles. The structure of a naltrexone-bound design shows shape-complementary methionine-aromatic interactions driving ligand specificity. To demonstrate practical utility, we develop cell-free detection systems for naltrexone and quinine. Sensor-seq enables rapid and scalable design of new biosensors, overcoming constraints of natural biosensors.

Nature CommunicationsVol. 15(1)
University of Wisconsin–Madison (US), Wright-Patterson Air Force Base (US), Wisconsin Department of Workforce Development (US), Great Lakes Bioenergy Research Center (US)
U.S. Department of Energy, University of Wisconsin-Madison, National Institutes of Health, Office of Science, U.S. Army, Michigan Technology Tri-Corridor, National Institute of General Medical Sciences, Division of Graduate Education, Basic Energy Sciences, Army Research Office, Air Force Research Laboratory
Zero hunger
Openalex Percentile: Top 8%
RNA and protein synthesis mechanisms
3.04
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