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Point-of-care analyte quantification and digital readout via lysate-based cell-free biosensors interfaced with personal glucose monitors

View ORCID ProfileYan Zhang, View ORCID ProfilePaige L. Steppe, Maxwell W. Kazman, View ORCID ProfileMark P. Styczynski
doi: https://doi.org/10.1101/2021.06.22.449464
Yan Zhang
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0100, United States
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Paige L. Steppe
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0100, United States
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Maxwell W. Kazman
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0100, United States
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Mark P. Styczynski
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332-0100, United States
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  • For correspondence: mark.styczynski@chbe.gatech.edu
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Abstract

Field-deployable diagnostics based on cell-free systems have advanced greatly, but on-site quantification of target analytes remains a challenge. Here we demonstrate that Escherichia coli lysate-based cell-free biosensors coupled to a personal glucose monitor (PGM) can enable on-site analyte quantification, with the potential for straightforward reconfigurability to diverse types of analytes. We show that analyte-responsive regulators of transcription and translation can modulate production of the reporter enzyme β-galactosidase, which in turn converts lactose into glucose for PGM quantification. Because glycolysis is active in the lysate and would readily deplete converted glucose, we decoupled enzyme production and glucose conversion to increase endpoint signal output. This lysate metabolism did, however, allow for one-pot removal of glucose present in complex samples (like human serum) without confounding target quantification. Taken together, we show that integrating lysate-based cell-free biosensors with PGMs enables accessible target detection and quantification at the point of need.

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Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • The major changes include increased clarity/detail in introduction, Figure 2 adjusted to reflect residual zinc in chelated serum, and expanded discussion section, as well as a new supplementary figure assessing batch-to-batch variability of lysates and cell-free reagents.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted September 12, 2021.
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Point-of-care analyte quantification and digital readout via lysate-based cell-free biosensors interfaced with personal glucose monitors
Yan Zhang, Paige L. Steppe, Maxwell W. Kazman, Mark P. Styczynski
bioRxiv 2021.06.22.449464; doi: https://doi.org/10.1101/2021.06.22.449464
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Point-of-care analyte quantification and digital readout via lysate-based cell-free biosensors interfaced with personal glucose monitors
Yan Zhang, Paige L. Steppe, Maxwell W. Kazman, Mark P. Styczynski
bioRxiv 2021.06.22.449464; doi: https://doi.org/10.1101/2021.06.22.449464

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