The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
HIV-1 Integration Landscape during Latent and Active Infection
Open accessAbstract
SUMMARY The barrier to curing HIV-1 is thought to reside primarily in CD4+ T cells containing silent proviruses. To characterize these latently infected cells, we studied the integration profile of HIV-1 in viremic progressors, individuals receiving antiretroviral therapy, and viremic controllers. Clonally expanded T cells represented the majority of all integrations and increased during therapy. However, none of the 75 expanded T cell clones assayed contained intact virus. In contrast, the cells bearing single integration events decreased in frequency over time on therapy, and the surviving cells were enriched for HIV-1 integration in silent regions of the genome. Finally, there was a strong preference for integration into, or in close proximity to Alu repeats, which were also enriched in local hotspots for integration. The data indicate that dividing clonally expanded T cells contain defective proviruses, and that the replication competent reservoir is primarily found in CD4+ T cells that remain relatively quiescent.
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Citations
Cites
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Self-citationQuantification of latent tissue reservoirs and total body viral load in HIV-1 infection
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Self-citationHIV-1 Integration in the Human Genome Favors Active Genes and Local Hotspots
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Specific HIV integration sites are linked to clonal expansion and persistence of infected cells
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“A number of different investigators have shown that HIV-1 prefers to integrate into the introns of highly expressed genes (Craigie and Bushman, 2012).”
BackgroundHolman, A. G., & Coffin, J. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501646102 · Cited by 164 · cited 1×
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Background
Cited by
Defective proviruses rapidly accumulate during acute HIV-1 infection
Bruner, K. M., Murray, A. J., Pollack, R. A., Soliman, M. G., Laskey, S. B., Capoferri, A. A., Lai, J., Strain, M. C., Lada, S. M., Hoh, R., et al. (2016) · Nature Medicine · doi:10.1038/nm.4156 · Cited by 737
Self-citationA quantitative approach for measuring the reservoir of latent HIV-1 proviruses
Bruner, K. M., Wang, Z., Simonetti, F. R., Bender, A. M., Kwon, K. J., Sengupta, S., Fray, E. J., Beg, S. A., Antar, A. A. R., Jenike, K. M., et al. (2019) · Nature · doi:10.1038/s41586-019-0898-8 · Cited by 718
Self-citationClonally expanded CD4 + T cells can produce infectious HIV-1 in vivo
Simonetti, F. R., Sobolewski, M. D., Fyne, E., Shao, W., Spindler, J., Hattori, J., Anderson, E. M., Watters, S. A., Hill, S., Wu, X., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522675113 · Cited by 372
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Metadata
- Authors
- Cohn, L. B., Silva, I. T., Oliveira, T. Y., Rosales, R. A., Parrish, E. H., Learn, G. H., Hahn, B. H., Czartoski, J. L., McElrath, M. J., Lehmann, C., Klein, F., Caskey, M., Walker, B. D., Siliciano, J. D., Siliciano, R. F., Jankovic, M., & Nussenzweig, M. C.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 160
- Issue
- 3
- Pages
- 420-432
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2169033726
- Cited by
- 444
- References
- 12
- FWCI
- 25.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
