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A novel technology for in vivo detection of cell type-specific neural connection with AQP1-encoding rAAV2-retro vector and metal-free MRI
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Metadata
Document Title
A novel technology for in vivo detection of cell type-specific neural connection with AQP1-encoding rAAV2-retro vector and metal-free MRI
Author
Zheng N, Li M, Wu Y, Kaewborisuth C, Li Z, Gui Z, Wu JF, Cai AL, Lin KG, Su KP, Xiang HB, Tian XB, Manyande A, Xu FQ, Wang J
Name from Authors Collection
Affiliations
Chinese Academy of Sciences; Wuhan Institute of Physics & Mathematics, CAS; Chinese Academy of Sciences; Shenzhen Institute of Advanced Technology, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); Huazhong University of Science & Technology; Guangzhou Medical University; Chinese Academy of Sciences; Hubei University of Arts & Science
Type
Article
Source Title
NEUROIMAGE
Year
2022
Volume
258
Open Access
gold, Green Accepted
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI
10.1016/j.neuroimage.2022.119402
Format
Abstract
A mammalian brain contains numerous neurons with distinct cell types for complex neural circuits. Virus-based circuit tracing tools are powerful in tracking the interaction among the different brain regions. However, detecting brain-wide neural networks in vivo remains challenging since most viral tracing systems rely on postmortem optical imaging. We developed a novel approach that enables in vivo detection of brain-wide neural connections based on metal-free magnetic resonance imaging (MRI). The recombinant adeno-associated virus (rAAV) with retrograde ability, the rAAV2-retro, encoding the human water channel aquaporin 1 (AQP1) MRI reporter gene was generated to label neural connections. The mouse was micro-injected with the virus at the Caudate Putamen (CPU) region and subjected to detection with Diffusion-weighted MRI (DWI). The prominent structure of the CPU-connected network was clearly defined. In combination with a Cre-loxP system, rAAV2-retro expressing Cre-dependent AQP1 provides a CPU-connected network of specific type neurons. Here, we established a sensitive, metal-free MRI-based strategy for in vivo detection of cell type-specific neural connections in the whole brain, which could visualize the dynamic changes of neural networks in rodents and potentially in non-human primates.
Keyword
AQP1 | Cell type-specific network | In vivo imaging | Metal-free MRI | Neural connection | rAAV2-retro vector
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
National Natu-ral Science Foundation of China [31970973, 31771193, 21921004]; National Key Research and the Development Program of China [2021M693294]; Key-Area Research and Development Program of Guangdong Province [2018B030331001]; Strategic Priority Re-search Program of the Chinese Academy of Sciences [XDB32030200]; Shenzhen Key Laboratory of Viral Vectors for Biomedicine [ZDSYS20200811142401005]; National Natural Science Foundation (NSF) of Hubei Province [2020CFA059]; Open Project Program of Wuhan National Laboratory for Optoelectronics [2019WNLOKF022]
License
CC BY-NC-ND
Rights
Authors
Publication Source
WOS