| Literature DB >> 28209198 |
Faysal Bin Hamid1, Jinsun Kim1, Cha-Gyun Shin2.
Abstract
Reverse transcription of viral RNA and the subsequent integration of reverse transcripts are the classical early events of the HIV-1 life-cycle. Simultaneously, abundant unintegrated DNAs (uDNAs), are formed in cells ubiquitously. The uDNAs either undergo recombination or degradation or persist inactively for long periods in the nucleus as future resources. Among them, 2-LTR circles are considered a dead-end for viral spread. Their contribution to the HIV-1 infection is still poorly understood. Nevertheless, the preintegration transcription of the aberrant DNAs and the consequent alterations of cellular factors have already been reported. Since the major fate of the viral genome is to persist as episomal DNA, precise characterization is required for studying the biology of HIV-1. This review compiles the biochemical and genetic updates on uDNA in the HIV-1 life cycle and could provide direction to further study of their roles in HIV-1 replication and application in HIV-1 pathogenesis.Entities:
Keywords: 2-LTR; HIV-1; Nuclear import; Retrovirus; Unintegrated DNA
Mesh:
Substances:
Year: 2017 PMID: 28209198 PMCID: PMC5314604 DOI: 10.1186/s12981-016-0127-6
Source DB: PubMed Journal: AIDS Res Ther ISSN: 1742-6405 Impact factor: 2.250
Examples of unintegrated DNAs in virus-infected cells and their fates
| Virus | Cell line | Cell number | hpi (hours per infection) | Methods | Consequence | Ref. | |
|---|---|---|---|---|---|---|---|
| Avian sarcoma virus | QT-6 | 5 hpi | Closed circular DNA | [ | |||
| MLV | NIH 3T3, TE671, ARPE-19 | 1 × 106 cells | 2 hpi | qPCR | 2-LTR | [ | |
| HIV-1 | MT-2 | 5 × 105 cells | 2 hpi | PCR and Southern hybridization | 1-LTR | [ | |
| 12 hpi | 2-LTR | ||||||
| Monocyte | 1 × 106 cells | 2 hpi | PCR and Southern hybridization | 1-LTR | |||
| 12 hpi | 2-LTR | ||||||
| Macrophage | 3 × 105 cells | 4 dpi | qPCR | 2-LTR | 30–35 copies/100cells | [ | |
| 21 dpi | 6 copies/100cells | ||||||
| CD4+ T lymphocytes | 3 × 105 cells | 4 dpi | 2-LTR | 11 copies/100cells | |||
| 14 dpi | X | ||||||
| Jurkat | 1 × 107 | 3 dpt | 2-LTR | 8.97% | [ | ||
| 1-LTR | 46.21% | ||||||
| 293T | 2-LTR | 5.42% | |||||
| 1-LTR | 40.16% | ||||||
| SupT1 (lymphoid cells) | 5 × 106 cells | 15 hpi | 2-LTR | 0.01 copy/cell | [ | ||
| 12 hpi | 40 copies/cells | ||||||
dpt days post-transduction, dpi days post infection
Fig. 1Fates of viral cDNAs (reverse transcripts) after reverse transcription. After reverse transcription, HIV-1 produces cDNAs that may either be integrated into host genome or circulate themselves. Otherwise, they are degraded into free nucleotides. Circular DNAs have been reported to actively participate in current gene expression similar to the integrated DNAs followed by linearization, degradation, or accumulation as a reservoir
Different assays used to measure different analytes
| Analytes | Assays | Advantages | Problems | References |
|---|---|---|---|---|
| Resting CD4+ T cells | PCR | Considered as ‘gold-standard’ for measuring latently infected cells | Low accuracy, slow, costly | [ |
| Total DNA | qPCR | Integrated and unintegrated HIV-DNA per million in peripheral blood mononuclear cells (PBMC) or CD4+ T cells | Unknown | [ |
| Total HIV-DNA and 2-LTR circles | Droplet digital PCR | More sensitive and precise comparing to real time | Short life span of 2-LTR; low accuracy | [ |
| Provirus |
| Conventional method to detect integrated proviruses. | Nonspecific, low accuracy | [ |
| Intracellular HIV-RNA | PCR | Detection of 1 copy per million resting CD4+ T cells | Unknown | [ |
| Viral RNA | HIV-RNA single copy assay (SCA) | Ultrasensitive method to quantify HIV-RNA in plasma | Unknown | [ |