The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Single-cell analysis of HIV-1 transcriptional activity reveals expression of proviruses in expanded clones during ART
Open accessAbstract
Significance: Previously, we showed that the virus that persists in human immunodeficiency virus (HIV)-infected individuals on antiretroviral therapy (ART) is derived from cells infected prior to initiating treatment. We also showed that HIV-infected cells can undergo cellular proliferation during ART. However, it is not known what fraction of infected cells that persist during ART are latent and what fraction are actively producing HIV RNA. The method described here was developed to determine the fraction of infected cells that produce HIV RNA and the levels of HIV RNA in single cells, including cells that have undergone cellular proliferation. Additionally, the method can be used to identify the sources of rebound virus after stopping ART and the efficacy of experimental interventions designed to cure HIV infection.
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“Conversely, a multitude of studies showed that defective HIV-1 genomes inside cells may still produce individual viral transcripts or proteins, 33-35,55 which could be mistaken as indicators of a functional reservoir of infectious virus.”
From Revealing viral and cellular dynamics of HIV-1 at the single-cell level during early treatment periods (2023) · cites this paper as [55]
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MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.
Tamura, K., Stecher, G., Peterson, D., Filipski, A., & Kumar, S. (2013) · Molecular biology and evolution · doi:10.1093/molbev/mst197 · Cited by 41,174
Keele, B. F., Giorgi, E. E., Salazar-Gonzalez, J. F., Decker, J. M., Pham, K. T., Salazar, M. G., Sun, C., Grayson, T. B., Wang, S., Li, H., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802203105 · Cited by 1,913
Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure
Ho, Y.-C., Shan, L., Hosmane, N. N., Wang, J., Laskey, S. B., Rosenbloom, D. I. S., Lai, J., Blankson, J. N., Siliciano, J. D., & Siliciano, R. F. (2013) · Cell · doi:10.1016/j.cell.2013.09.020 · Cited by 1,405
Specific HIV integration sites are linked to clonal expansion and persistence of infected cells
Maldarelli, F., Wu, X., Su, L., Simonetti, F. R., Shao, W., Hill, S., Spindler, J., Ferris, A. L., Mellors, J. W., Kearney, M. F., et al. (2014) · Science · doi:10.1126/science.1254194 · Cited by 849
Self-citationDefective 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
Folks, T. M., Clouse, K. A., Justement, J. S., Rabson, A. B., Duh, E. J., Kehrl, J. H., & Fauci, A. S. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.7.2365 · Cited by 701
Proliferation of cells with HIV integrated into cancer genes contributes to persistent infection
Wagner, T. A., McLaughlin, S., Garg, K., Cheung, C. Y. K., Larsen, B. B., Styrchak, S., Huang, H. C., Edlefsen, P. T., Mullins, J. I., & Frenkel, L. M. (2014) · Science · doi:10.1126/science.1256304 · Cited by 677
Palmer, S., Kearney, M., Maldarelli, F., Halvas, E. K., Bixby, C. J., Bazmi, H., Rock, D., Falloon, J., Davey, R. T., Dewar, R. L., et al. (2005) · Journal of Clinical Microbiology · doi:10.1128/jcm.43.1.406-413.2005 · Cited by 506
Self-citationHIV-1 Integration Landscape during Latent and Active Infection
Cohn, L. B., da Silva, I. T., Oliveira, T. Y., Rosales, R., Parrish, E. H., Learn, G. H., Hahn, B. H., Czartoski, J., McElrath, M. J., Lehmann, C., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.020 · Cited by 460
Dinoso, J. B., Kim, S. Y., Wiegand, A. P., Palmer, S., Gange, S. J., Cranmer, L. M., O'Shea, A., Callender, M., Spivak, A. M., Brennan, T. P., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903107106 · Cited by 452
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The Biology of the HIV-1 Latent Reservoir and Implications for Cure Strategies
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Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses
Einkauf, K. B., Osborn, M. R., Gao, C., Sun, W., Sun, X., Lian, X., Parsons, E. M., Gladkov, G. T., Seiger, K. W., Blackmer, J. E., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.011 · Cited by 260
Pinzone, M. R., VanBelzen, J., Weissman, S., Bertuccio, M. P., Cannon, L., Rullo, E. V., Migueles, S. A., Jones, R. B., Mota, T. M., Joseph, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08431-7 · Cited by 179
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Metadata
- Authors
- Wiegand, A., Spindler, J., Hong, F. F., Shao, W., Cyktor, J. C., Cillo, A. R., Halvas, E. K., Coffin, J. M., Mellors, J. W., & Kearney, M. F.
- Affiliations
- National Cancer Institute (US)
- University of Pittsburgh (US)
- Frederick National Laboratory for Cancer Research (US)
- Tufts University (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-04-17
- Volume
- 114
- Issue
- 18
- Pages
- E3659-E3668
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5422779
- OpenAlex
- W2606857030
- Cited by
- 165
- References
- 44
- Citations by year
- 2026: 8 · 2025: 19 · 2024: 15 · 2023: 17 · 2022: 15 · 2021: 19 · 2020: 25 · 2019: 19 · 2018: 23 · 2017: 4
- FWCI
- 10.57
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- HHS | NIH | National Cancer Institute (Intramural Funding, 1U01CA200441)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Virus-based gene therapy research
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS drug development and treatment
- Keywords
- HIV-1, unspliced viral RNA, single-genome sequencing, antiretroviral therapy, viral reservoir, defective proviruses, HIV transcription, viremia, blood mononuclear cells
- MeSH terms
- Female, Humans, Leukocytes, Mononuclear, Male, Proviruses, RNA, Viral, Transcription, Genetic, HIV-1, Gene Expression Regulation, Viral, Anti-Retroviral Agents
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