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The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors

Julian A. Stanley, Sean B. Johnsen, View ORCID ProfileJavier Apfeld
doi: https://doi.org/10.1101/2020.01.31.928895
Julian A. Stanley
Biology Department, Northeastern University, Boston, MA, 02115, USA
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Sean B. Johnsen
Biology Department, Northeastern University, Boston, MA, 02115, USA
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Javier Apfeld
Biology Department, Northeastern University, Boston, MA, 02115, USA
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  • ORCID record for Javier Apfeld
  • For correspondence: j.apfeld@northeastern.edu
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Abstract

Two-state ratiometric biosensors change conformation and spectral properties in response to specific biochemical inputs. Much effort over the past two decades has been devoted to engineering biosensors specific for ions, nucleotides, amino acids, and biochemical potentials. The utility of these biosensors is diminished by empirical errors in fluorescence-ratio signal measurement, which reduce the range of input values biosensors can measure accurately. Here, we present a formal framework and a web-based tool, the SensorOverlord, that predicts the input range of two-state ratiometric biosensors given the experimental error in measuring their signal. We demonstrate the utility of this tool by predicting the range of values that can be measured accurately by biosensors that detect pH, NAD+, NADH, NADPH, histidine, and glutathione redox potential. The SensorOverlord enables users to compare the predicted accuracy of biochemical measurements made with different biosensors, and subsequently select biosensors that are best suited for their experimental needs.

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  • https://www.sensoroverlord.org

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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 February 01, 2020.
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The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors
Julian A. Stanley, Sean B. Johnsen, Javier Apfeld
bioRxiv 2020.01.31.928895; doi: https://doi.org/10.1101/2020.01.31.928895
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The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors
Julian A. Stanley, Sean B. Johnsen, Javier Apfeld
bioRxiv 2020.01.31.928895; doi: https://doi.org/10.1101/2020.01.31.928895

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