Title |
Advances in optogenetic and chemogenetic methods to study brain circuits in non-human primates
|
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Published in |
Journal of Neural Transmission, February 2017
|
DOI | 10.1007/s00702-017-1697-8 |
Pubmed ID | |
Authors |
Adriana Galvan, Michael J. Caiola, Daniel L. Albaugh |
Abstract |
Over the last 10 years, the use of opto- and chemogenetics to modulate neuronal activity in research applications has increased exponentially. Both techniques involve the genetic delivery of artificial proteins (opsins or engineered receptors) that are expressed on a selective population of neurons. The firing of these neurons can then be manipulated using light sources (for opsins) or by systemic administration of exogenous compounds (for chemogenetic receptors). Opto- and chemogenetic tools have enabled many important advances in basal ganglia research in rodent models, yet these techniques have faced a slow progress in non-human primate (NHP) research. In this review, we present a summary of the current state of these techniques in NHP research and outline some of the main challenges associated with the use of these genetic-based approaches in monkeys. We also explore cutting-edge developments that will facilitate the use of opto- and chemogenetics in NHPs, and help advance our understanding of basal ganglia circuits in normal and pathological conditions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
China | 1 | <1% |
Unknown | 133 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 23% |
Researcher | 23 | 17% |
Student > Master | 22 | 16% |
Student > Bachelor | 16 | 12% |
Student > Doctoral Student | 6 | 4% |
Other | 13 | 10% |
Unknown | 25 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 44 | 32% |
Agricultural and Biological Sciences | 18 | 13% |
Biochemistry, Genetics and Molecular Biology | 15 | 11% |
Medicine and Dentistry | 10 | 7% |
Psychology | 6 | 4% |
Other | 15 | 11% |
Unknown | 28 | 21% |