Back

P-DOpE probes reveal local amplification of phasic noradrenergic release in the hippocampus

Huang, H.; Schy, K.; Liu, Y.; Sommer, A.; Kim, J.; Jackson, B.; Yang, X.; Mattis, J. H.; Gilbert, E. T.; Wang, L. K.; Buhler, C.; Jia, X.; English, D. F.; McKenzie, S.

2026-07-03 neuroscience
10.64898/2026.06.29.734897 bioRxiv
Show abstract

Fiber photometry (FP) has become a tool of choice for in vivo monitoring of genetically encoded biosensors. The ability to record and optogenetically manipulate circuits through the same fiber stub is powerful, but limited, as biosensors typically do not sample membrane voltage, leaving the experimenter blind to the direct effects of opsin photoactivation. Here we developed the Photometry Device with Optogenetics and Electrophysiology (P-DOpE) probe, fabricated via a new convergence taper-break (CTB) method that integrates industry-standard silica optical waveguides with low-impedance metal electrodes that can be arranged in experimenter-defined configurations. We demonstrate that chronically implanted P-DOpE probes provide months-long recordings of local field potential, single unit recording, and fiber photometry, with parallel optogenetic circuit perturbation. Conducting fiber photometry with same-site optogenetic stimulation, we identified a robust fluorescence signal that scaled with network activity and survived biosensor antagonism. As this confound could not be eliminated with standard isosbestic controls, we propose a simple correction strategy. As a first application, we used the probe to test a proposed mechanism for focal modulation of noradrenergic signaling in and by cortical circuits receiving afferents from the locus coeruleus. We found that increasing spiking activity in CA1 amplifies noradrenergic signaling evoked by contextual arousal by ~50%, but does not induce norepinephrine release in the absence of a phasic trigger - thus supporting the central prediction of the glutamate amplifies noradrenergic effects (GANE) hypothesis. The P-DOpE probe thus enables optogenetic manipulation and multimodal readout in a configurable low-cost, scalable, and robust format.

Matching journals

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

1
Nature Communications
5641 papers in training set
Top 14%
12.7%
2
Science Advances
1243 papers in training set
Top 1%
8.8%
3
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 5%
7.8%
4
Scientific Reports
3612 papers in training set
Top 8%
7.8%
5
Neuron
337 papers in training set
Top 1%
6.2%
6
eLife
5828 papers in training set
Top 22%
5.4%
7
Cell Reports Methods
165 papers in training set
Top 0.3%
5.4%
50% of probability mass above
8
Nature Neuroscience
252 papers in training set
Top 2%
4.3%
9
Neurophotonics
42 papers in training set
Top 0.1%
4.3%
10
Advanced Science
286 papers in training set
Top 2%
3.4%
11
Journal of Neural Engineering
221 papers in training set
Top 1%
2.6%
12
Communications Biology
993 papers in training set
Top 9%
2.4%
13
Frontiers in Neuroscience
256 papers in training set
Top 3%
2.1%
14
eneuro
439 papers in training set
Top 4%
2.1%
15
iScience
1154 papers in training set
Top 17%
1.7%
16
Nature Methods
385 papers in training set
Top 5%
1.4%
17
Advanced Healthcare Materials
85 papers in training set
Top 1%
1.3%
18
Cell
431 papers in training set
Top 8%
1.1%
19
Cell Reports
1498 papers in training set
Top 23%
1.1%
20
The Journal of Neuroscience
1025 papers in training set
Top 9%
1.0%
21
Lab on a Chip
96 papers in training set
Top 0.9%
1.0%
22
ACS Chemical Neuroscience
67 papers in training set
Top 1%
1.0%
23
PLOS ONE
5266 papers in training set
Top 58%
1.0%
24
PLOS Biology
486 papers in training set
Top 12%
0.8%
25
Biosensors and Bioelectronics
57 papers in training set
Top 0.8%
0.8%
26
Science
477 papers in training set
Top 9%
0.8%
27
Advanced Materials
56 papers in training set
Top 1%
0.8%
28
Advanced Functional Materials
46 papers in training set
Top 1%
0.6%
29
Nature Biotechnology
172 papers in training set
Top 5%
0.6%