Back

Synaptic and Somatic Targeting of ArcLight, a Genetically Encoded Voltage Indicator

Zhong, S.; Cohen, L. B.

2024-11-03 neuroscience
10.1101/2024.11.03.621404 bioRxiv
Show abstract

Voltage signals in neurons are highly compartmentalized, which can influence their specific functions within neuronal circuits. Targeting of a genetically encoded voltage indicator (GEVI) to specific subcellular compartments can enhance the signal-to-noise ratio and provide more precise information about the location and timing of synaptic firing across different neuronal regions, reducing spatiotemporal signal convolution. To achieve subcellular targeting of the GEVI, ArcLight, we utilized five different postsynaptic targeting sequences (Shaker K+ channel C-terminus, stargazin C-terminus, rat Neuroligin-1 C-terminus, and anti-homer1 nanobodies HC20 & HC87) to direct ArcLight expression to the excitatory postsynaptic density. Additionally, we assessed a presynaptic-targeting tag (rat Neurexin-1{beta} C-terminus) and a somatodendritic targeting tag (Kv2.1-Lk-Tlcn C-terminus). Patch clamp experiments in HEK293 cells showed that the targeting tags used in this study did not significantly alter ArcLights voltage sensitivity compared to controls. AAV infection in the mouse olfactory bulb demonstrated that the subcellular targeting sequences effectively localized GEVI expression to specific compartments of mitral/tufted cells, including postsynaptic densities, presynaptic terminals, and somatodendritic regions. Furthermore, in vivo voltage imaging in mice expressing targeting-enhanced ArcLight variants revealed odorant-evoked responses similar to those observed with the original ArcLight. This indicates that subcellular targeting did not significantly impact the voltage sensing capability of ArcLight in mitral/tufted cells.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 16%
12.0%
2
Neuroscience Bulletin
12 papers in training set
Top 0.1%
11.1%
3
eLife
5828 papers in training set
Top 11%
9.0%
4
Molecular Brain
28 papers in training set
Top 0.1%
5.5%
5
iScience
1154 papers in training set
Top 3%
4.9%
6
Scientific Reports
3612 papers in training set
Top 26%
4.1%
7
Neuroscience Letters
32 papers in training set
Top 0.1%
3.5%
50% of probability mass above
8
International Journal of Molecular Sciences
494 papers in training set
Top 3%
3.3%
9
Frontiers in Molecular Neuroscience
47 papers in training set
Top 0.3%
2.7%
10
Frontiers in Cellular Neuroscience
91 papers in training set
Top 0.6%
2.5%
11
Molecular Neurobiology
53 papers in training set
Top 0.4%
2.5%
12
PLOS Genetics
862 papers in training set
Top 5%
2.4%
13
PLOS Biology
486 papers in training set
Top 3%
2.1%
14
Cells
249 papers in training set
Top 3%
1.7%
15
eneuro
439 papers in training set
Top 5%
1.7%
16
BMC Biology
265 papers in training set
Top 3%
1.4%
17
Molecular and Cellular Neuroscience
20 papers in training set
Top 0.2%
1.4%
18
Biomolecules
100 papers in training set
Top 2%
1.1%
19
PLOS Pathogens
820 papers in training set
Top 7%
1.1%
20
Journal of Molecular Biology
232 papers in training set
Top 3%
1.0%
21
Nature Communications
5641 papers in training set
Top 55%
0.9%
22
Biochemical and Biophysical Research Communications
84 papers in training set
Top 2%
0.9%
23
Human Molecular Genetics
141 papers in training set
Top 3%
0.9%
24
The Journal of Neuroscience
1025 papers in training set
Top 10%
0.9%
25
Cell Reports
1498 papers in training set
Top 27%
0.9%
26
Communications Biology
993 papers in training set
Top 29%
0.9%
27
Open Biology
106 papers in training set
Top 2%
0.9%
28
EMBO Reports
263 papers in training set
Top 8%
0.6%
29
PLOS Computational Biology
1863 papers in training set
Top 21%
0.6%
30
Cellular and Molecular Life Sciences
96 papers in training set
Top 2%
0.6%