Title |
Advanced Fluorescence Protein-Based Synapse-Detectors
|
---|---|
Published in |
Frontiers in Synaptic Neuroscience, June 2016
|
DOI | 10.3389/fnsyn.2016.00016 |
Pubmed ID | |
Authors |
Hojin Lee, Won Chan Oh, Jihye Seong, Jinhyun Kim |
Abstract |
The complex information-processing capabilities of the central nervous system emerge from intricate patterns of synaptic input-output relationships among various neuronal circuit components. Understanding these capabilities thus requires a precise description of the individual synapses that comprise neural networks. Recent advances in fluorescent protein engineering, along with developments in light-favoring tissue clearing and optical imaging techniques, have rendered light microscopy (LM) a potent candidate for large-scale analyses of synapses, their properties, and their connectivity. Optically imaging newly engineered fluorescent proteins (FPs) tagged to synaptic proteins or microstructures enables the efficient, fine-resolution illumination of synaptic anatomy and function in large neural circuits. Here we review the latest progress in fluorescent protein-based molecular tools for imaging individual synapses and synaptic connectivity. We also identify associated technologies in gene delivery, tissue processing, and computational image analysis that will play a crucial role in bridging the gap between synapse- and system-level neuroscience. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Australia | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 133 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 22% |
Researcher | 27 | 20% |
Student > Bachelor | 17 | 13% |
Student > Doctoral Student | 9 | 7% |
Student > Master | 9 | 7% |
Other | 20 | 15% |
Unknown | 22 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 40 | 30% |
Agricultural and Biological Sciences | 28 | 21% |
Biochemistry, Genetics and Molecular Biology | 16 | 12% |
Chemistry | 6 | 4% |
Medicine and Dentistry | 6 | 4% |
Other | 11 | 8% |
Unknown | 27 | 20% |