研究目的
To develop a bright, red-shifted Genetically Encoded Voltage Indicator (GEVI) capable of reporting neuronal activity with high sensitivity and speed, using a modified version of the fluorescent protein tdTomato.
研究成果
The study successfully developed Ilmol, a bright, red-shifted GEVI with improved signal-to-noise ratio and sensitivity for imaging neuronal activity. Ilmol's ability to report population signals in acute brain slices and resolve action potentials in neuronal cultures demonstrates its potential as a valuable tool for neuroscience research. The findings also highlight the importance of the dimerization mechanism in GEVI development and open new avenues for engineering improved voltage indicators.
研究不足
The study found that introducing charged residues to the exterior of dTomato did not substantially improve the dynamic range of the optical signal, indicating limitations in the current approach to modifying the fluorescent protein for enhanced voltage sensitivity. Additionally, the small fractional change in fluorescence of the developed GEVI, Ilmol, may limit its application in certain imaging scenarios.
1:Experimental Design and Method Selection:
The study involved the design and optimization of a red-shifted GEVI by modifying tdTomato and fusing it to a voltage sensing domain (VSD). The approach included testing different linker lengths and charge compositions between the VSD and the fluorescent protein to optimize the voltage-dependent optical signal.
2:Sample Selection and Data Sources:
HEK 293 cells and mouse hippocampal neurons were used to express the GEVI constructs. Optical signals were recorded in response to membrane depolarizations.
3:List of Experimental Equipment and Materials:
The study utilized a patch-clamp setup, fluorescence imaging systems, and various molecular biology tools for plasmid construction and transfection.
4:Experimental Procedures and Operational Workflow:
The workflow included plasmid design and construction, cell culture and transfection, patch-clamp electrophysiology, and fluorescence imaging to assess the performance of the GEVI constructs.
5:Data Analysis Methods:
Optical signal recordings were analyzed using Neuroplex software, Excel, and Origin8.6. The data were fitted to exponential decay models to determine kinetics and voltage sensitivity.
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