
Human-immunodeficiency-virus (HIV)-based lentiviral vectors are a promising tool for in vivo gene therapy. Unlike Moloney-murine-leukaemia-based retroviruses (MLV), lentiviruses are believed to stably transduce quiescent (non-cycling) cells in various organs. No previous studies, however, have directly established the cell-cycle status of any transduced cell type at the time of vector administration in vivo. In vitro studies using wild-type HIV or HIV-based vectors have shown that, in some cases, cell-cycle activation is required for infection, even though cellular mitosis is not an absolute requirement for integration. Even if the block in reverse transcription is overcome in quiescent T cells, productive infection by HIV cannot be rescued in the absence of cell-cycle activation. The potential use of these vectors for gene therapy prompted our study, which establishes a cell-cycle requirement for efficient transduction of hepatocytes in vivo.
Cell Cycle, Genetic Vectors, Lentivirus, Mice, SCID, Rats, Inbred F344, Cell Line, Rats, Mice, Inbred C57BL, Mice, Liver, Transduction, Genetic, Animals, Humans, Female
Cell Cycle, Genetic Vectors, Lentivirus, Mice, SCID, Rats, Inbred F344, Cell Line, Rats, Mice, Inbred C57BL, Mice, Liver, Transduction, Genetic, Animals, Humans, Female
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 274 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
