The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Comprehensive serological profiling of human populations using a synthetic human virome
Open accessAbstract
Viral exposure—the complete history: In addition to causing illness, viruses leave indelible footprints behind, because infection permanently alters the immune system. Blood tests that detect antiviral antibodies can provide information about both past and present viral exposures. Typically, such tests measure only one virus at a time. Using a synthetic representation of all human viral peptides, Xu et al. developed a blood test that identifies antibodies against all known human viruses. They studied blood samples from nearly 600 people of differing ages and geographic locations and found that most had been exposed to about 10 viral species over their lifetime. Despite differences in the rates of exposure to specific viruses, the antibody responses in most individuals targeted the same viral epitopes. Science , this issue 10.1126/science.aaa0698
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Activities at the Universal Protein Resource (UniProt)
(2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1140 · Cited by 1,735
Cohen, J. I. (2000) · New England Journal of Medicine · doi:10.1056/nejm200008173430707 · Cited by 1,636
Review of cytomegalovirus seroprevalence and demographic characteristics associated with infection
Cannon, M. J., Schmid, D. S., & Hyde, T. B. (2010) · Reviews in Medical Virology · doi:10.1002/rmv.655 · Cited by 1,495
(2012) · SpringerReference · doi:10.1007/springerreference_301423 · Cited by 1,192
Seroprevalence of Cytomegalovirus Infection in the United States, 1988-1994
Staras, S. A. S., Dollard, S. C., Radford, K. W., Flanders, W. D., Pass, R. F., & Cannon, M. J. (2006) · Clinical Infectious Diseases · doi:10.1086/508173 · Cited by 1,007
Duration of antiviral immunity after smallpox vaccination
Hammarlund, E., Lewis, M. W., Hansen, S. G., Strelow, L. I., Nelson, J. A., Sexton, G. J., Hanifin, J. M., & Slifka, M. K. (2003) · Nature Medicine · doi:10.1038/nm917 · Cited by 946
Age‐Specific Prevalence of Infection with Herpes Simplex Virus Types 2 and 1: A Global Review
Smith, J. S., & Robinson, N. J. (2002) · The Journal of Infectious Diseases · doi:10.1086/343739 · Cited by 885
Herpesvirus latency confers symbiotic protection from bacterial infection
Barton, E. S., White, D. W., Cathelyn, J. S., Brett-McClellan, K. A., Engle, M., Diamond, M. S., Miller, V. L., & Virgin, H. W. (2007) · Nature · doi:10.1038/nature05762 · Cited by 763
Metagenomics and future perspectives in virus discovery
Mokili, J. L., Rohwer, F., & Dutilh, B. E. (2012) · Current Opinion in Virology · doi:10.1016/j.coviro.2011.12.004 · Cited by 662
Cited by
Bjornevik, K., Cortese, M., Healy, B. C., Kuhle, J., Mina, M. J., Leng, Y., Elledge, S. J., Niebuhr, D. W., Scher, A. I., Munger, K. L., et al. (2022) · Science · doi:10.1126/science.abj8222 · Cited by 2,049
Self-citationInfectious disease in an era of global change
Baker, R. E., Mahmud, A. S., Miller, I. F., Rajeev, M., Rasambainarivo, F., Rice, B. L., Takahashi, S., Tatem, A. J., Wagner, C. E., Wang, L.-F., et al. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00639-z · Cited by 2,059
The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19
Consiglio, C. R., Cotugno, N., Sardh, F., Pou, C., Amodio, D., Rodriguez, L., Tan, Z., Zicari, S., Ruggiero, A., Pascucci, G. R., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.016 · Cited by 919
Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity
Shrock, E., Fujimura, E., Kula, T., Timms, R. T., Lee, I.-H., Leng, Y., Robinson, M. L., Sie, B. M., Li, M. Z., Chen, Y., et al. (2020) · Science · doi:10.1126/science.abd4250 · Cited by 678
“Cohorts 7 and 8 were from previous studies (7, 8).”
MethodSelf-citationBrodin, P., & Davis, M. M. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2016.125 · Cited by 730
Metadata
- Authors
- Xu, G. J., Kula, T., Xu, Q., Li, M. Z., Vernon, S. D., Ndung’u, T., Ruxrungtham, K., Sanchez, J., Brander, C., Chung, R. T., O’Connor, K. C., Walker, B., Larman, H. B., & Elledge, S. J.
- Venue
- Science
- Published
- 2015-06-05
- Volume
- 348
- Issue
- 6239
- Pages
- aaa0698-aaa0698
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1900892538
- Cited by
- 477
- References
- 31
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- green
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- Xu, G. J., Kula, T., Xu, Q., Li, M. Z., Vernon, S. D., Ndung’u, T., Ruxrungtham, K., Sanchez, J., Brander, C., Chung, R. T., O’Connor, K. C., Walker, B., Larman, H. B., & Elledge, S. J. (2015). Comprehensive serological profiling of human populations using a synthetic human virome. Science. https://doi.org/10.1126/science.aaa0698
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