The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The Landscape of Human Proteins Interacting with Viruses and Other Pathogens
Open accessAbstract
Infectious diseases result in millions of deaths each year. Mechanisms of infection have been studied in detail for many pathogens. However, many questions are relatively unexplored. What are the properties of human proteins that interact with pathogens? Do pathogens interact with certain functional classes of human proteins? Which infection mechanisms and pathways are commonly triggered by multiple pathogens? In this paper, to our knowledge, we provide the first study of the landscape of human proteins interacting with pathogens. We integrate human-pathogen protein-protein interactions (PPIs) for 190 pathogen strains from seven public databases. Nearly all of the 10,477 human-pathogen PPIs are for viral systems (98.3%), with the majority belonging to the human-HIV system (77.9%). We find that both viral and bacterial pathogens tend to interact with hubs (proteins with many interacting partners) and bottlenecks (proteins that are central to many paths in the network) in the human PPI network. We construct separate sets of human proteins interacting with bacterial pathogens, viral pathogens, and those interacting with multiple bacteria and with multiple viruses. Gene Ontology functions enriched in these sets reveal a number of processes, such as cell cycle regulation, nuclear transport, and immune response that participate in interactions with different pathogens. Our results provide the first global view of strategies used by pathogens to subvert human cellular processes and infect human cells. Supplementary data accompanying this paper is available at http://staff.vbi.vt.edu/dyermd/publications/dyer2008a.html.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706
Epstein–Barr virus and virus human protein interaction maps
Calderwood, M. A., Venkatesan, K., Xing, L., Chase, M. R., Vazquez, A., Holthaus, A. M., Ewence, A. E., Li, N., Hirozane-Kishikawa, T., Hill, D. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702332104 · Cited by 388
Barsky, A., Gardy, J. L., Hancock, R. E. W., & Munzner, T. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm057 · Cited by 175
Cited by
Hepatitis C virus infection protein network
de Chassey, B., Navratil, V, Tafforeau, L., Hiet, M. S., Aublin‐Gex, A., Agaugué, S., Meiffren, G., Pradezynski, F., Faria, B. F., Chantier, T., et al. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.66 · Cited by 384
Gene expression variability across cells and species shapes innate immunity
Hagai, T., Chen, X., Miragaia, R. J., Rostom, R., Gomes, T., Kunowska, N., Henriksson, J., Park, J.-E., Proserpio, V., Donati, G., et al. (2018) · Nature · doi:10.1038/s41586-018-0657-2 · Cited by 220
VirusMINT: a viral protein interaction database
Chatr-aryamontri, A., Ceol, A., Peluso, D., Nardozza, A., Panni, S., Sacco, F., Tinti, M., Smolyar, A., Castagnoli, L., Vidal, M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn739 · Cited by 213
A Physical Interaction Network of Dengue Virus and Human Proteins
Khadka, S., Vangeloff, A. D., Zhang, C., Siddavatam, P., Heaton, N. S., Wang, L., Sengupta, R., Sahasrabudhe, S., Randall, G., Gribskov, M., et al. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.012187 · Cited by 175
GPS-Prot: A web-based visualization platform for integrating host-pathogen interaction data
Fahey, M. E., Bennett, M. J., Mahon, C., Jäger, S., Pache, L., Kumar, D., Shapiro, A., Rao, K., Chanda, S. K., Craik, C. S., et al. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-298 · Cited by 87
Metadata
- Authors
- Dyer, M. D., Murali, T. M., & Sobral, B. W.
- Venue
- PLoS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-02-15
- Volume
- 4
- Issue
- 2
- Pages
- e32
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- OpenAlex
- W2131858707
- Cited by
- 331
- References
- 8
- FWCI
- 12.28
- Type
- journal article
- Language
- en
- Open access
- gold
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