Evidence map›Paper›PMID 35051311›Full record

ArticleClinical and translational medicine2022

A spatial and cellular distribution of rabies virus infection in the mouse brain revealed by fMOST and single-cell RNA sequencing.

Yachun Zhang, Xudong Xing, Ben Long, Yandi Cao, Simeng Hu, Xiangning Li, Yalan Yu, Dayong Tian, Baokun Sui, Zhaochen Luo and 10 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 40 citations in OpenAlex.

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  6. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Yachun ZhangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Xudong XingBiomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.
Ben LongKey Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.
Yandi CaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Simeng HuBiomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.
Xiangning LiBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, China.
Yalan YuBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, China.
Dayong TianState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Baokun SuiState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Zhaochen LuoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Wei LiuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Lei LvState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Qiong WuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Jinxia DaiState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Ming ZhouState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Heyou HanState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Zhen F FuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Hui GongBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Key Laboratory of Biomedical Photonics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, China.
Fan BaiBiomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.ORCID 0000-0001-6119-8936
Ling ZhaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0003-0569-8105
Huazhong Agricultural University · CNPeking University · CNWuhan National Laboratory for Optoelectronics · CNHainan University · CN

Funding

Director Fund of WNLOGuangdong Major Project of Basic and Applied Basic Research 2020B0301030007National Natural Science Foundation of China 21778020National Natural Science Foundation of China 31722003National Natural Science Foundation of China 31770925National Natural Science Foundation of China 31872451
6 · The paper itself

Abstract

backgroundNeurotropic virus infection can cause serious damage to the central nervous system (CNS) in both humans and animals. The complexity of the CNS poses unique challenges to investigate the infection of these viruses in the brain using traditional techniques.

methodsIn this study, we explore the use of fluorescence micro-optical sectioning tomography (fMOST) and single-cell RNA sequencing (scRNA-seq) to map the spatial and cellular distribution of a representative neurotropic virus, rabies virus (RABV), in the whole brain. Mice were inoculated with a lethal dose of a recombinant RABV encoding enhanced green fluorescent protein (EGFP) under different infection routes, and a three-dimensional (3D) view of RABV distribution in the whole mouse brain was obtained using fMOST. Meanwhile, we pinpointed the cellular distribution of RABV by utilizing scRNA-seq.

resultsOur fMOST data provided the 3D view of a neurotropic virus in the whole mouse brain, which indicated that the spatial distribution of RABV in the brain was influenced by the infection route. Interestingly, we provided evidence that RABV could infect multiple nuclei related to fear independent of different infection routes. More surprisingly, our scRNA-seq data revealed that besides neurons RABV could infect macrophages and the infiltrating macrophages played at least three different antiviral roles during RABV infection.

conclusionThis study draws a comprehensively spatial and cellular map of typical neurotropic virus infection in the mouse brain, providing a novel and insightful strategy to investigate the pathogenesis of RABV and other neurotropic viruses.

Indexed as

AnimalsBrainDisease Models, AnimalMiceRabiesRabies virusSingle-Cell AnalysisTomography, OpticalfearfMOST technologymacrophagesNK cellsrabies virussingle-cell RNA-seqwhole brain distribution

Identifiers

PMID35051311
PMCPMC8776042
OpenAlexW4205603552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.