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Multi-omics evaluation of SARS-CoV-2 infected mouse lungs reveals dynamics of host responses

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NIAID Data Ecosystem2026-03-13 收录
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https://www.omicsdi.org/dataset/pride/PXD031574
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资源简介:
The outbreak of Coronavirus disease 2019 (COVID-19) throughout the world has caused millions of death, while the dynamics of host responses and the underlying regulation mechanisms during SARS-CoV-2 infection are not well depicted. Lung tissues from a mouse model sensitized to SARS-CoV-2 infection were serially collected at different time points for evaluation of transcriptome, proteome and phosphoproteome. We showed the ebb and flow of several host responses in the lung across viral infection. The signaling pathways and kinases regulating networks were alternated at different phases of infection. Our study not only revealed the dynamics of lung pathophysiology and their underlying molecular mechanisms during SARS-CoV-2 infection, but also highlighted some molecules and signaling pathways that might guide future investigations on COVID-19 therapies.
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2022-04-01
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