Evidence map›Paper›PMID 39414783›Full record

ArticleCell discovery2024

Single-cell spatiotemporal analysis of the lungs reveals Slamf9

Boyi Cong, Xuan Dong, Zongheng Yang, Pin Yu, Yangyang Chai, Jiaqi Liu, Meihan Zhang, Yupeng Zang, Jingmin Kang, Yu Feng and 19 more

Abstract read
In one paragraph

Article in Cell discovery, 2024. 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
–field-weighted citation impact
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.

  1. Monocytes in pneumonia: Functional plasticity and innate memory (Review).International journal of molecular medicine · 2026
    Review
  2. Review
  3. Review
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  7. Single-Cell Insights Into Macrophage Subtypes in Pulmonary Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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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

29 authors.

Boyi Cong *State Key Laboratory of Medicinal Chemical Biology, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, China.
Xuan Dong *BGI-Shenzhen, Shenzhen, Guangdong, China.
Zongheng Yang *Department of Immunology, Center for Immunotherapy, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Pin Yu *Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Yangyang ChaiDepartment of Immunology, Center for Immunotherapy, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Jiaqi LiuDepartment of Immunology, Center for Immunotherapy, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Meihan ZhangState Key Laboratory of Medicinal Chemical Biology, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, China.
Yupeng ZangBGI-Shenzhen, Shenzhen, Guangdong, China.ORCID http://orcid.org/0000-0002-5098-1172
Jingmin KangBGI-Shenzhen, Shenzhen, Guangdong, China.ORCID http://orcid.org/0009-0006-5901-5268
Yu FengBGI-Shenzhen, Shenzhen, Guangdong, China.
Yi LiuBGI-Shenzhen, Shenzhen, Guangdong, China.
Weimin FengBGI-Shenzhen, Shenzhen, Guangdong, China.
Dehe WangChangping Laboratory, Beijing, China.
Wei DengInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Fengdi LiInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Zhiqi SongInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Ziqiao WangDepartment of Immunology, Center for Immunotherapy, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-6720-4732
Xiaosu ChenState Key Laboratory of Medicinal Chemical Biology, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, China.
Hua QinState Key Laboratory of Medicinal Chemical Biology, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, China.ORCID http://orcid.org/0000-0002-5128-8986
Qinyi YuInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhiqing LiNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Navy Medical University, Shanghai, China.
Shuxun LiuNational Key Laboratory of Immunity and Inflammation, Institute of Immunology, Navy Medical University, Shanghai, China.
Xun XuBGI-Shenzhen, Shenzhen, Guangdong, China.ORCID http://orcid.org/0000-0002-5338-5173
Nanshan ZhongGuangzhou Laboratory, Guangzhou, Guangdong, China.
Xianwen RenChangping Laboratory, Beijing, China. renxwise@cpl.ac.cn.
Chuan QinInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China. chuanqin@vip.sina.com.
Longqi LiuBGI-Shenzhen, Shenzhen, Guangdong, China. liulongqi@genomics.cn.ORCID http://orcid.org/0000-0002-5828-5542
Jian WangBGI-Shenzhen, Shenzhen, Guangdong, China. wangjian@genomics.cn.
Xuetao CaoState Key Laboratory of Medicinal Chemical Biology, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, China. caoxt@immunol.org.ORCID http://orcid.org/0000-0001-9677-7647

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82388201
6 · The paper itself

Abstract

How the lung achieves immune homeostasis after a pulmonary infection is not fully understood. Here, we analyzed the spatiotemporal changes in the lungs over a 2-week natural recovery from severe pneumonia in a Syrian hamster model of SARS-CoV-2 infection. We find that SARS-CoV-2 infects multiple cell types and causes massive cell death at the early stage, including alveolar macrophages. We identify a group of monocyte-derived Slamf9

Identifiers

PMID39414783
PMCPMC11484945

What OpenQuestion holds

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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.