Back

AAV-only targeting of ventral tegmental area dopamine neurons for optical self-stimulation studies in mice

Marron Fernandez de Velasco, E.; Brent, J. C.; Welter, A. L.; Yang, P.; Wickman, A.; Mitten, E. H.; Wickman, K.

2026-02-12 neuroscience
10.64898/2026.02.10.705134 bioRxiv
Show abstract

Studies employing optogenetic approaches in rodent models have highlighted the important contribution of ventral tegmental area (VTA) dopamine (DA) neurons to reward, learning, and motivation. Selective manipulation of VTA DA neurons is generally achieved in these studies using transgenic mouse or rat lines that express Cre recombinase under the control of a promoter active in DA neurons, combined with intra-VTA infusion of adeno-associated virus (AAV) vectors harboring Cre recombinase-dependent expression cassettes. Reliance on transgenic Cre driver lines is expensive and decreases study efficiency, and available driver lines have unique limitations. Here, we report the development of an AAV-only approach that permits genetic access to VTA DA neurons and can support optogenetic self-stimulation in mice. We used a 2.5 kb fragment of the mouse tyrosine hydroxylase promoter (mTH) to drive Cre expression in VTA DA neurons. Intra-VTA co-infusion of AAV8-mTH-Cre with an AAV vector harboring a Cre-dependent yellow fluorescent protein expression cassette yielded high efficiency (82%) and high fidelity (73%) targeting of tyrosine hydroxylase-positive VTA neurons in C57BL/6J mice. Co-infusion of AAV8-mTH-Cre with a vector harboring a Cre-dependent channelrhodopsin (ChR2) expression cassette permitted optical regulation of VTA neurons with electrophysiological features consistent with VTA DA neurons. Moreover, C57BL/6J mice expressing ChR2 in VTA DA neurons rapidly acquired optical self-stimulation behavior. Thus, this AAV-only approach should facilitate investigation of VTA DA neuron contributions to reward-related behaviors and permit comparative assessments in reward circuit function in inbred and mutant mouse strains.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 2%
14.8%
2
Journal of Neuroscience Methods
106 papers in training set
Top 0.1%
12.4%
3
PLOS ONE
4510 papers in training set
Top 27%
6.4%
4
Frontiers in Neuroscience
223 papers in training set
Top 0.4%
6.4%
5
eneuro
389 papers in training set
Top 1%
6.4%
6
Frontiers in Behavioral Neuroscience
46 papers in training set
Top 0.2%
3.6%
50% of probability mass above
7
Nature Communications
4913 papers in training set
Top 39%
3.6%
8
Cell Reports Methods
141 papers in training set
Top 1%
2.8%
9
The Journal of Neuroscience
928 papers in training set
Top 5%
2.1%
10
Neuropsychopharmacology
134 papers in training set
Top 2%
1.7%
11
eLife
5422 papers in training set
Top 41%
1.7%
12
Brain Stimulation
112 papers in training set
Top 0.9%
1.5%
13
Analytical Chemistry
205 papers in training set
Top 2%
1.3%
14
Cell Reports
1338 papers in training set
Top 28%
1.2%
15
Molecular Therapy - Methods & Clinical Development
38 papers in training set
Top 0.3%
1.2%
16
ACS Chemical Neuroscience
60 papers in training set
Top 2%
1.0%
17
Addiction Neuroscience
17 papers in training set
Top 0.4%
0.9%
18
npj Parkinson's Disease
89 papers in training set
Top 0.9%
0.9%
19
iScience
1063 papers in training set
Top 26%
0.9%
20
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 42%
0.8%
21
Translational Psychiatry
219 papers in training set
Top 4%
0.8%
22
Frontiers in Cellular Neuroscience
79 papers in training set
Top 1%
0.8%
23
Neuroscience Research
14 papers in training set
Top 0.2%
0.8%
24
Communications Biology
886 papers in training set
Top 23%
0.8%
25
Neurobiology of Learning and Memory
35 papers in training set
Top 0.4%
0.7%
26
Neuropharmacology
60 papers in training set
Top 0.7%
0.7%
27
Journal of Neural Engineering
197 papers in training set
Top 2%
0.7%
28
Science Advances
1098 papers in training set
Top 31%
0.7%
29
Behavioural Brain Research
70 papers in training set
Top 1%
0.6%
30
Addiction Biology
47 papers in training set
Top 0.8%
0.6%