Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury-Reference-Cited by-同舟云学术

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Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury

Published:2024-02 Issue:2 Volume:43 Page:113689
ISSN:2211-1247
Container-title:Cell Reports
language:en
Short-container-title:Cell Reports

Author:

Mao Yiheng,Chen Ying,Li Yuan,Ma Longda,Wang Xi,Wang Qi,He An,Liu Xi,Dong Tianyi,Gao Weina,Xu Yanfen,Liu Liang,Ren Liang,Liu Qian,Zhou Peng,Hu Ben,Zhou Yiwu,Tian Ruijun,Shi Zheng-Li^ORCID

Publisher

Elsevier BV

Reference85 articles.

1. A pneumonia outbreak associated with a new coronavirus of probable bat origin;Zhou;Nature,2020

2. Clinical Characteristics of Coronavirus Disease 2019 in China;Guan;N. Engl. J. Med.,2020

3. Characteristics of SARS-CoV-2 and COVID-19;Hu;Nat. Rev. Microbiol.,2021

4. Histopathology and ultrastructural findings of fatal COVID-19 infections in Washington State: a case series;Bradley;Lancet,2020

5. Post-mortem lung tissue: the fossil record of the pathophysiology and immunopathology of severe COVID-19;Milross;Lancet Respir. Med.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Proteomic analysis of lung responses to SARS-CoV-2 infection in aged non-human primates: clinical and research relevance;GeroScience;2024-07-06

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