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Yin L, Liu S, Shi H, Feng Y, Zhang Y, Wu D, Song Z, Zhang L. Subcellular Proteomic Analysis Reveals Dysregulation in Organization of Human A549 Cells Infected with Influenza Virus H7N9. CURR PROTEOMICS 2021. [DOI: 10.2174/1570164619666211222145450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
H7N9 influenza virus poses a high risk to human beings and proteomic evaluations of these infections may help to better understand its pathogenic mechanisms in human systems. Objective: To find membrane proteins related to H7N9 infection.
Methods:
Here, we infected primary human alveolar adenocarcinoma epithelial cells (A549) cells with H7N9 (including wild and mutant strains) and then produced enriched cellular membrane isolations which were evaluated by western blot. The proteins in these cell membrane fractions were analyzed using the isobaric Tags for Relative and Absolute Quantitation (iTRAQ) proteome technologies.
Results:
Differentially expressed proteins (n = 32) were identified following liquid chromatography-tandem mass spectrometry, including 20 down-regulated proteins such as CD44 antigen, and CD151 antigen, and 12 up-regulated proteins such as tight junction protein ZO-1, and prostaglandin reductase 1. Gene Ontology database searching revealed that 20 out of the 32 differentially expressed proteins were localized to the plasma membrane. These proteins were primarily associated with cellular component organization (n = 20), and enriched in the Reactome pathway of extracellular matrix organization (n = 4).
Conclusion:
These findings indicate that H7N9 may dysregulate cellular organization via specific alterations to the protein profile of the plasma membrane.
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Affiliation(s)
- Lin Yin
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Siyuan Liu
- The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201400, China
| | - Huichun Shi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yanling Feng
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yujiao Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Dage Wu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhigang Song
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Lijun Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
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