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HIV infection results in clonal expansions containing integrations within pathogenesis-related biological pathways
Kevin G. Haworth, Lauren E. Schefter, Zachary K. Norgaard, Christina Ironside, Jennifer E. Adair, Hans-Peter Kiem
Kevin G. Haworth, Lauren E. Schefter, Zachary K. Norgaard, Christina Ironside, Jennifer E. Adair, Hans-Peter Kiem
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Research Article AIDS/HIV Virology

HIV infection results in clonal expansions containing integrations within pathogenesis-related biological pathways

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Abstract

The genomic integration of HIV into cells results in long-term persistence of virally infected cell populations. This integration event acts as a heritable mark that can be tracked to monitor infected cells that persist over time. Previous reports have documented clonal expansion in people and have linked them to proto-oncogenes; however, their significance or contribution to the latent reservoir has remained unclear. Here, we demonstrate that a directed pattern of clonal expansion occurs in vivo, specifically in gene pathways important for viral replication and persistence. These biological processes include cellular division, transcriptional regulation, RNA processing, and posttranslational modification pathways. This indicates preferential expansion when integration events occur within genes or biological pathways beneficial for HIV replication and persistence. Additionally, these expansions occur quickly during unsuppressed viral replication in vivo, reinforcing the importance of early intervention for individuals to limit reservoir seeding of clonally expanded HIV-infected cells.

Authors

Kevin G. Haworth, Lauren E. Schefter, Zachary K. Norgaard, Christina Ironside, Jennifer E. Adair, Hans-Peter Kiem

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Figure 2

Distribution of HIV integration sites across all human chromosomes.

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Distribution of HIV integration sites across all human chromosomes.
Visu...
Visual representation of the frequency for HIV viral integration events on each individual chromosome. (A) All HIV integrations from both in vivo or in vitro data sets were combined and plotted based on frequency of integrations relative to unbiased expectation of chromosome size, with larger chromosomes expected to contain more unique integrations when compared with smaller ones. The y axis is proportion of integrations observed relative to expectation based on chromosome size, with a horizontal dashed black line at a value of 1. Overlaid heatmap at top of histogram corresponds to height of each bar and is color coded, with higher frequencies than expected as darker red, lower frequency than expected as darker blue, and expected frequencies as white. (B) Heatmap representation of different HIV data sets broken down by infection system or cell type, and color code in the same fashion as previously described.

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