The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Scientific reports - 10(2020), 1 vom: 08. Okt., Seite 16843

Sprache:

Englisch

Beteiligte Personen:

Stanley, Julian A [VerfasserIn]
Johnsen, Sean B [VerfasserIn]
Apfeld, Javier [VerfasserIn]

Links:

Volltext

Themen:

0U46U6E8UK
4QD397987E
53-59-8
GAN16C9B8O
Glutathione
Histidine
Journal Article
NAD
NADP
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Anmerkungen:

Date Completed 25.02.2021

Date Revised 08.10.2021

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-020-73987-0

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM316033960