The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
AXL is a candidate receptor for SARS-CoV-2 that promotes infection of pulmonary and bronchial epithelial cells
Open accessAbstract
The current coronavirus disease 2019 (COVID-19) pandemic presents a global public health challenge. The viral pathogen responsible, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), binds to the host receptor ACE2 through its spike (S) glycoprotein, which mediates membrane fusion and viral entry. Although the role of ACE2 as a receptor for SARS-CoV-2 is clear, studies have shown that ACE2 expression is extremely low in various human tissues, especially in the respiratory tract. Thus, other host receptors and/or co-receptors that promote the entry of SARS-CoV-2 into cells of the respiratory system may exist. In this study, we found that the tyrosine-protein kinase receptor UFO (AXL) specifically interacts with the N-terminal domain of SARS-CoV-2 S. Using both a SARS-CoV-2 virus pseudotype and authentic SARS-CoV-2, we found that overexpression of AXL in HEK293T cells promotes SARS-CoV-2 entry as efficiently as overexpression of ACE2, while knocking out AXL significantly reduces SARS-CoV-2 infection in H1299 pulmonary cells and in human primary lung epithelial cells. Soluble human recombinant AXL blocks SARS-CoV-2 infection in cells expressing high levels of AXL. The AXL expression level is well correlated with SARS-CoV-2 S level in bronchoalveolar lavage fluid cells from COVID-19 patients. Taken together, our findings suggest that AXL is a novel candidate receptor for SARS-CoV-2 which may play an important role in promoting viral infection of the human respiratory system and indicate that it is a potential target for future clinical intervention strategies.
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A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Self-citationA pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels
Shevchenko, A., Wilm, M., Vorm, O., & Mann, M. (1996) · Analytical Chemistry · doi:10.1021/ac950914h · Cited by 8,995
CHARMM: The biomolecular simulation program
Brooks, B. R., Brooks, C. L., Mackerell, A. D., Nilsson, L., Petrella, R. J., Roux, B., Won, Y., Archontis, G., Bartels, C., Boresch, S., et al. (2009) · Journal of Computational Chemistry · doi:10.1002/jcc.21287 · Cited by 8,939
Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation
Wrapp, D., Wang, N., Corbett, K. S., Goldsmith, J. A., Hsieh, C.-L., Abiona, O., Graham, B. S., & McLellan, J. S. (2020) · Science · doi:10.1126/science.abb2507 · Cited by 8,897
CHARMM36m: an improved force field for folded and intrinsically disordered proteins
Huang, J., Rauscher, S., Nawrocki, G., Ran, T., Feig, M., de Groot, B. L., Grubmüller, H., & MacKerell, A. D. (2017) · Nature Methods · doi:10.1038/nmeth.4067 · Cited by 7,285
Self-citationStructure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor
Lan, J., Ge, J., Yu, J., Shan, S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2180-5 · Cited by 5,983
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
Li, W., Moore, M. J., Vasilieva, N., Sui, J., Wong, S. K., Berne, M. A., Somasundaran, M., Sullivan, J. L., Luzuriaga, K., Greenough, T. C., et al. (2003) · Nature · doi:10.1038/nature02145 · Cited by 5,923
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Jackson, C. B., Farzan, M., Chen, B., & Choe, H. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00418-x · Cited by 3,022
SARS-CoV-2 immune evasion by the B.1.427/B.1.429 variant of concern
McCallum, M., Bassi, J., De Marco, A., Chen, A., Walls, A. C., Di Iulio, J., Tortorici, M. A., Navarro, M.-J., Silacci-Fregni, C., Saliba, C., et al. (2021) · Science · doi:10.1126/science.abi7994 · Cited by 412
Molecular mechanism of interaction between SARS-CoV-2 and host cells and interventional therapy
Zhang, Q., Xiang, R., Huo, S., Zhou, Y., Jiang, S., Wang, Q., & Yu, F. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00653-w · Cited by 339
Self-citationSARS-CoV-2-Specific Immune Response and the Pathogenesis of COVID-19
Gusev, E., Sarapultsev, A., Solomatina, L., & Chereshnev, V. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031716 · Cited by 281
Hoffmann, M., Hofmann-Winkler, H., Krüger, N., Kempf, A., Nehlmeier, I., Graichen, L., Arora, P., Sidarovich, A., Moldenhauer, A.-S., Winkler, M. S., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109415 · Cited by 258
Metadata
- Authors
- Wang, S., Qiu, Z., Hou, Y., Deng, X., Xu, W., Zheng, T., Wu, P., Xie, S., Bian, W., Zhang, C., Sun, Z., Liu, K., Shan, C., Lin, A., Jiang, S., Xie, Y., Zhou, Q., Lu, L., Huang, J., & Li, X.
- Venue
- Cell Research
- Published
- 2021-01-08
- Volume
- 31
- Issue
- 2
- Pages
- 126-140
- ISSN
- 1001-0602 (ISSN-L)
- 1748-7838
- OpenAlex
- W3120758145
- Cited by
- 499
- References
- 63
- FWCI
- 30.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Wang, S., Qiu, Z., Hou, Y., Deng, X., Xu, W., Zheng, T., Wu, P., Xie, S., Bian, W., Zhang, C., Sun, Z., Liu, K., Shan, C., Lin, A., Jiang, S., Xie, Y., Zhou, Q., Lu, L., Huang, J., & Li, X. (2021). AXL is a candidate receptor for SARS-CoV-2 that promotes infection of pulmonary and bronchial epithelial cells. Cell Research. https://doi.org/10.1038/s41422-020-00460-y
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