The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Cellular transcriptional profiling in influenza A virus-infected lung epithelial cells: The role of the nonstructural NS1 protein in the evasion of the host innate defense and its potential contribution to pandemic influenza
Open accessAbstract
The NS1 protein of influenza A virus contributes to viral pathogenesis, primarily by enabling the virus to disarm the host cell type IFN defense system. We examined the downstream effects of NS1 protein expression during influenza A virus infection on global cellular mRNA levels by measuring expression of over 13,000 cellular genes in response to infection with wild-type and mutant viruses in human lung epithelial cells. Influenza A/PR/8/34 virus infection resulted in a significant induction of genes involved in the IFN pathway. Deletion of the viral NS1 gene increased the number and magnitude of expression of cellular genes implicated in the IFN, NF-κB, and other antiviral pathways. Interestingly, different IFN-induced genes showed different sensitivities to NS1-mediated inhibition of their expression. A recombinant virus with a C-terminal deletion in its NS1 gene induced an intermediate cellular mRNA expression pattern between wild-type and NS1 knockout viruses. Most significantly, a virus containing the 1918 pandemic NS1 gene was more efficient at blocking the expression of IFN-regulated genes than its parental influenza A/WSN/33 virus. Taken together, our results suggest that the cellular response to influenza A virus infection in human lung cells is significantly influenced by the sequence of the NS1 gene, demonstrating the importance of the NS1 protein in regulating the host cell response triggered by virus infection.
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Cites
Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, C. A., Causton, H. C., et al. (2001) · Nature Genetics · doi:10.1038/ng1201-365 · Cited by 4,109
The tripartite motif family identifies cell compartments
Reymond, A., Meroni, G., Fantozzi, A., Merla, G., Cairo, S., Luzi, L., Riganelli, D., Zanaria, E., Messali, S., Cainarca, S., et al. (2001) · The EMBO Journal · doi:10.1093/emboj/20.9.2140 · Cited by 1,366
Molecular Basis for High Virulence of Hong Kong H5N1 Influenza A Viruses
Hatta, M., Gao, P., Halfmann, P., & Kawaoka, Y. (2001) · Science · doi:10.1126/science.1062882 · Cited by 1,338
Influenza A Virus Lacking the NS1 Gene Replicates in Interferon-Deficient Systems
García-Sastre, A., Egorov, A., Matassov, D., Brandt, S., Levy, D. E., Durbin, J. E., Palese, P., & Muster, T. (1998) · Virology · doi:10.1006/viro.1998.9508 · Cited by 1,000
Self-citationLarge-Scale Transcriptional Activity in Chromosomes 21 and 22
Kapranov, P., Cawley, S. E., Drenkow, J., Bekiranov, S., Strausberg, R. L., Fodor, S. P. A., & Gingeras, T. R. (2002) · Science · doi:10.1126/science.1068597 · Cited by 869
The Plasticity of Dendritic Cell Responses to Pathogens and Their Components
Huang, Q., Liu, D., Majewski, P., Schulte, L. C., Korn, J. M., Young, R. A., Lander, E. S., & Hacohen, N. (2001) · Science · doi:10.1126/science.294.5543.870 · Cited by 748
Yasukawa, H., Misawa, H., Sakamoto, H., Masuhara, M., Sasaki, A., Wakioka, T., Ohtsuka, S., Imaizumi, T., Matsuda, T., Ihle, J. N., et al. (1999) · The EMBO Journal · doi:10.1093/emboj/18.5.1309 · Cited by 719
Using the transcriptome to annotate the genome
Saha, S., Sparks, A. B., Rago, C., Akmaev, V., Wang, C. J., Vogelstein, B., Kinzler, K. W., & Velculescu, V. E. (2002) · Nature Biotechnology · doi:10.1038/nbt0502-508 · Cited by 630
The impact of influenza epidemics on mortality: introducing a severity index.
Simonsen, L., Clarke, M. J., Williamson, G. D., Stroup, D. F., Arden, N. H., & Schonberger, L. B. (1997) · American Journal of Public Health · doi:10.2105/ajph.87.12.1944 · Cited by 587
Cited by
Viruses and interferon: a fight for supremacy
Katze, M. G., He, Y., & Gale, M. (2002) · Nature Reviews Immunology · doi:10.1038/nri888 · Cited by 1,419
Self-citationThe multifunctional NS1 protein of influenza A viruses
Hale, B. G., Randall, R. E., Ortín, J., & Jackson, D. (2008) · Journal of General Virology · doi:10.1099/vir.0.2008/004606-0 · Cited by 1,079
TRIM family proteins: retroviral restriction and antiviral defence
Nisole, S., Stoye, J. P., & Saïb, A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1248 · Cited by 761
Influenza: lessons from past pandemics, warnings from current incidents
Horimoto, T., & Kawaoka, Y. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1208 · Cited by 696
Large-Scale Sequence Analysis of Avian Influenza Isolates
Obenauer, J. C., Denson, J., Mehta, P. K., Su, X., Mukatira, S., Finkelstein, D. B., Xu, X., Wang, J., Ma, J., Fan, Y., et al. (2006) · Science · doi:10.1126/science.1121586 · Cited by 608
Metadata
- Authors
- Geiss, G. K., Salvatore, M., Tumpey, T. M., Carter, V. S., Wang, X., Basler, C. F., Taubenberger, J. K., Bumgarner, R. E., Palese, P., Katze, M. G., & García-Sastre, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-07-29
- Volume
- 99
- Issue
- 16
- Pages
- 10736-10741
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2012362209
- Cited by
- 374
- References
- 36
- FWCI
- 15.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Geiss, G. K., Salvatore, M., Tumpey, T. M., Carter, V. S., Wang, X., Basler, C. F., Taubenberger, J. K., Bumgarner, R. E., Palese, P., Katze, M. G., & García-Sastre, A. (2002). Cellular transcriptional profiling in influenza A virus-infected lung epithelial cells: The role of the nonstructural NS1 protein in the evasion of the host innate defense and its potential contribution to pandemic influenza. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.112338099
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.