Absolute Membrane Potential Recording with ASAP-Type Genetically Encoded Voltage Indicators Using Fluorescence Lifetime Imaging

The electrical membrane voltage (<i>V</i><sub>m</sub>) characterizes the functional state of biological cells, thus requiring precise, noninvasive <i>V</i><sub>m</sub>-sensing techniques. While voltage-dependent fluorescence intensity changes from genetically encoded voltage indicators (GEVIs) indicate <i>V</i><sub>m</sub> changes, variability in sensor expression confounds the determination of absolute <i>V</i><sub>m</sub>. Fluorescence lifetime imaging microscopy (FLIM) promises a solution to this problem, as fluorescence lifetime is expected to be unaffected by sensor expression and excitation intensity. By examining ASAP1, ASAP3, JEDI-1P, rEstus, and rEstus-NI (G138N:T141I) with one-photon-excited FLIM measurements, we demonstrate that all sensors display a voltage-dependent lifetime. Based on the highest lifetime change in the <i>V</i><sub>m</sub> range of -120 to 60 mV, rEstus-NI (798 ps) and ASAP3 (726 ps) are preferred for FLIM recordings. At a physiologically relevant <i>V</i><sub>m</sub> of -30 mV, the voltage sensitivity of rEstus-NI (6.6 ps/mV) is 3.6 and 1.4 times greater than that of ASAP1 and rEstus, respectively. As a proof of concept, we successfully used rEstus-NI to estimate absolute resting <i>V</i><sub>m</sub> in HEK293T, A375 melanoma, and MCF7 breast cancer cells and quantified spontaneous <i>V</i><sub>m</sub> fluctuations in A375 cells.

Authors

Institutions

Publication Details

Journal
ACS Chemical Neuroscience
Published
2025-11-22
DOI
https://doi.org/10.1021/acschemneuro.5c00670
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Absolute Membrane Potential Recording with ASAP-Type Genetically Encoded Voltage Indicators Using Fluorescence Lifetime Imaging

Jürgen Popp, Marko Rodewald, Philipp Rühl, Michael P. Schmitt et al.
1 citations
ACS Chemical Neuroscience
Advanced Fluorescence Microscopy Techniques
1.63
article

Absolute Membrane Potential Recording with ASAP-Type Genetically Encoded Voltage Indicators Using Fluorescence Lifetime Imaging

Jürgen Popp, Marko Rodewald, Philipp Rühl, Michael P. Schmitt, Stefan H. Heinemann, Hyeonsoo Bae, Tobias Meyer‐Zedler, Anagha G. Nair
article en
1 citations

Abstract

The electrical membrane voltage (<i>V</i><sub>m</sub>) characterizes the functional state of biological cells, thus requiring precise, noninvasive <i>V</i><sub>m</sub>-sensing techniques. While voltage-dependent fluorescence intensity changes from genetically encoded voltage indicators (GEVIs) indicate <i>V</i><sub>m</sub> changes, variability in sensor expression confounds the determination of absolute <i>V</i><sub>m</sub>. Fluorescence lifetime imaging microscopy (FLIM) promises a solution to this problem, as fluorescence lifetime is expected to be unaffected by sensor expression and excitation intensity. By examining ASAP1, ASAP3, JEDI-1P, rEstus, and rEstus-NI (G138N:T141I) with one-photon-excited FLIM measurements, we demonstrate that all sensors display a voltage-dependent lifetime. Based on the highest lifetime change in the <i>V</i><sub>m</sub> range of -120 to 60 mV, rEstus-NI (798 ps) and ASAP3 (726 ps) are preferred for FLIM recordings. At a physiologically relevant <i>V</i><sub>m</sub> of -30 mV, the voltage sensitivity of rEstus-NI (6.6 ps/mV) is 3.6 and 1.4 times greater than that of ASAP1 and rEstus, respectively. As a proof of concept, we successfully used rEstus-NI to estimate absolute resting <i>V</i><sub>m</sub> in HEK293T, A375 melanoma, and MCF7 breast cancer cells and quantified spontaneous <i>V</i><sub>m</sub> fluctuations in A375 cells.

ACS Chemical NeuroscienceVol. 16(24)
Helmholtz Institute Jena (DE), Microsemi (Canada) (CA), Leibniz Institute of Photonic Technology (DE), Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 11%
Advanced Fluorescence Microscopy Techniques
1.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.