Evidence map›Paper›PMID 34915931›Full record

ArticleCell & bioscience2021

From nasal to basal: single-cell sequencing of the bursa of Fabricius highlights the IBDV infection mechanism in chickens.

Abid Ullah Shah, Yuchen Li, Wei Ouyang, Zhisheng Wang, Jinjiao Zuo, Song Shi, Qinghua Yu, Jian Lin, Qian Yang

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
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  14. Advances in single-cell transcriptomics in animal research.Journal of animal science and biotechnology · 2024
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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

9 authors at 2 institutions in 1 country.

Abid Ullah ShahCollege of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
Yuchen LiCollege of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
Wei OuyangInstitute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences/Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, Nanjing, 210014, People's Republic of China.
Zhisheng WangInstitute of Veterinary Immunology and Engineering, National Research Center of Engineering and Technology for Veterinary Biologicals, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, People's Republic of China.
Jinjiao ZuoCollege of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
Song ShiShanghai OE Biotech. Co., Ltd, Shanghai, 201114, People's Republic of China.
Qinghua YuCollege of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
Jian LinCollege of Life Sciences, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China. linjian@njau.edu.cn.
Qian YangCollege of Veterinary Medicine, Nanjing Agricultural University, Wei gang 1, Nanjing, Jiangsu, 210095, People's Republic of China.
Nanjing Agricultural University · CNJiangsu Academy of Agricultural Sciences · CN

Funding

major research plan 31702197major research plan 31930109major research plan 32072835
6 · The paper itself

Abstract

backgroundChickens, important food animals and model organisms, are susceptible to many RNA viruses that invade via the nasal cavity. To determine the nasal entry site of the virus and clarify why avians are susceptible to RNA viruses, infectious bursal disease virus (IBDV) was selected because it is a typical avian RNA virus that infects chickens mainly via the nasal route.

resultsFirst, we found that IBDV infected the posterior part of the nasal cavity in chickens, which is rich in lymphoid tissue and allows the virus to be easily transferred to the blood. Via the blood circulation, IBDV infected peripheral blood mononuclear cells (PBMCs) and was transferred to the bursa of Fabricius to damage the IgM + B lymphocyte population. Subsequently, the single-cell RNA sequencing (scRNA-seq) results suggested the more detailed response of different bursal cell populations (B cells, epithelial cells, dendritic cells, and fibroblasts) to IBDV. Regarding B cells, IBDV infection greatly decreased the IgM + B cell population but increased the IgA + B cell population in the bursal follicles. In contrast to B cells, bursal epithelial cells, especially basal cells, accumulated a large number of IBDV particles. Furthermore, we found that both innate RNA sensors and interferon-stimulated genes (ISGs) were highly expressed in the IBDV-infected groups, while dicer and ago2 expression was largely blocked by IBDV infection. This result suggests that dicer-related RNA interference (RNAi) might be an effective antiviral strategy for IBDV infection in avian.

conclusionOur study not only comprehensively elaborates on the transmission of airborne IBDV via the intranasal route and establishes the main target cell types for productive IBDV infection but also provides sufficient evidence to explain the cellular antiviral mechanism against IBDV infection.

Indexed as

Bursa of FabriciusInfectious bursal disease virusNasal cavityRNA interferenceSingle cell RNA-sequence

Identifiers

PMID34915931
PMCPMC8675306
OpenAlexW4200354874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.