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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Zheng, Ning, Li, Mei, Wu, Yang, Kaewborisuth, Challika, Li, Zhen, Gui, Zhu, Wu, Jinfeng, Cai, Aoling, Lin, Kangguang, Su, Kuan-Pin, Xiang, Hongbing, Tian, Xuebi, Manyande, Anne ORCID: https://orcid.org/0000-0002-8257-0722, Xu, Fuqiang and Wang, Jie (2022) A novel technology for in vivo detection of cell type-specific neural connection with AQP1-encoding rAAV2-retro vector and metal-free MRI. NeuroImage, 258. p. 119402. ISSN 1053-8119

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Zheng,_Li,_Wu_et_al._2022_A_novel_technology_for_in_vivo_detection_of_cell_type-specific_neural_connection_with_AQP1-encoding_rAAV2-retro_vector_and_metal-free_MRI.pdf - Published Version
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Official URL: https://doi.org/10.1016/j.neuroimage.2022.119402

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.

Item Type:	Article
Identifier:	10.1016/j.neuroimage.2022.119402
Additional Information:	© 2022 The Author(s). Published by Elsevier Inc.
Keywords:	AQP1, rAAV2-retro vector, Metal-free MRI, Neural connection, Cell type-specific network, In vivo imaging
Subjects:	Natural sciences > Cell and molecular biology
Related URLs:	Publisher
Depositing User:	Anne Manyande
Date Deposited:	04 Aug 2022 13:39
Last Modified:	06 Feb 2024 16:11
URI:	https://repository.uwl.ac.uk/id/eprint/9286