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bioRxiv · 10.1101/2023.12.25.573317

Identifying Discrepancies in HIV Infectivity and Virion Maturation Using FRET-Based Detection and Quantification

Narayan, K.·Choi, J.·Gujar, S. S.·McGraw, A.·Tibebe, H.·Bose, L. M.·Arnette, C. N.·Izumi, T.
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Abstract

The maturation of HIV-1 virions is a crucial process in viral replication. Although T cells are a primary source of virus production, much of our understanding of virion maturation comes from studies using the HEK293T human embryonic kidney cell line. Notably, there is a lack of comparative analyses between T cells and HEK293T cells in terms of virion maturation efficiency in existing literature. We previously developed an advanced virion visualization system based on the FRET principle, enabling the effective distinction between immature and mature virions via fluorescence microscopy. In this study, we utilized pseudotyped, single-round infectious viruses tagged with FRET labels (HIV-1 Gag-iFRET{Delta}Env) derived from Jurkat (a human T lymphocyte cell line) and HEK293T cells to evaluate their virion maturation rates. HEK293T-derived virions demonstrated a maturity rate of 81.79%, consistent with other studies and our previous findings. However, virions originating from Jurkat cells demonstrated a significantly reduced maturation rate of 68.67% (p < 0.0001). Correspondingly, viruses produced from Jurkat cells exhibited significantly reduced infectivity compared to those derived from HEK293T cells, with the relative infectivity measured at 65.3%. This finding is consistent with the observed relative maturation rate of viruses produced by Jurkat cells. These findings suggest that initiation of virion maturation directly correlates with viral infectivity. Our observation highlights the dynamic nature of virus-host interactions and their implications for virion production and infectivity.

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Narayan, K., Choi, J., Gujar, S. S., McGraw, A., Tibebe, H., Bose, L. M., Arnette, C. N., Izumi, T.. 2023-12-26. Identifying Discrepancies in HIV Infectivity and Virion Maturation Using FRET-Based Detection and Quantification. https://doi.org/10.1101/2023.12.25.573317

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