4.5 Article

Mechanistic discoveries and simulation-guided assay optimization of portable hormone biosensors with cell-free protein synthesis

Journal

BIOTECHNOLOGY JOURNAL
Volume 17, Issue 2, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/biot.202100152

Keywords

cell-free protein synthesis; endocrine disrupting chemical; enzyme kinetics; estrogen receptor; hormone assay

Funding

  1. National Science Foundation [1254148]
  2. Simmons Center for CancerResearch

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This study leverages the advantages of CFPS combined with kinetic analysis, autoradiography, and western blot to elucidate the molecular mechanism of a biosensor for nuclear hormone receptor ligands. Enzyme kinetics simulations are used to optimize the biosensor assay, resulting in a longer readable window and stronger sensor signal. Creation of an on-demand thyroid hormone biosensor with observable color-change readout and the promise to improve methods for detecting natural hormones, therapeutic receptor modulators, and EDCs are significant outcomes of this approach.
Nuclear receptors (NRs) influence nearly every system of the body and our lives depend on correct NR signaling. Thus, a key environmental and pharmaceutical quest is to identify and detect chemicals which interact with nuclear hormone receptors, including endocrine disrupting chemicals (EDCs), therapeutic receptor modulators, and natural hormones. Previously reported biosensors of nuclear hormone receptor ligands facilitated rapid detection of NR ligands using cell-free protein synthesis (CFPS). In this work, the advantages of CFPS are further leveraged and combined with kinetic analysis, autoradiography, and western blot to elucidate the molecular mechanism of this biosensor. Additionally, mathematical simulations of enzyme kinetics are used to optimize the biosensor assay, ultimately lengthening its readable window by five-fold and improving sensor signal strength by two-fold. This approach enabled the creation of an on-demand thyroid hormone biosensor with an observable color-change readout. This mathematical and experimental approach provides insight for engineering rapid and field-deployable CFPS biosensors and promises to improve methods for detecting natural hormones, therapeutic receptor modulators, and EDCs.

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