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Nucleic Acids Research
Article . 2021 . Peer-reviewed
License: CC BY NC
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Nucleic Acids Research
Article
License: CC BY NC
Data sources: UnpayWall
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rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Authors: Gregory J Bedwell; Sooin Jang; Wen Li; Parmit K Singh; Alan N Engelman;

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Abstract

Abstract HIV-1 integration favors recurrent integration gene (RIG) targets and genic proviruses can confer cell survival in vivo. However, the relationship between initial RIG integrants and how these evolve in patients over time are unknown. To address these shortcomings, we built phenomenological models of random integration in silico, which were used to identify 3718 RIGs as well as 2150 recurrent avoided genes from 1.7 million integration sites across 10 in vitro datasets. Despite RIGs comprising only 13% of human genes, they harbored 70% of genic HIV-1 integrations across in vitro and patient-derived datasets. Although previously reported to associate with super-enhancers, RIGs tracked more strongly with speckle-associated domains. While depletion of the integrase cofactor LEDGF/p75 significantly reduced recurrent HIV-1 integration in vitro, LEDGF/p75 primarily occupied non-speckle-associated regions of chromatin, suggesting a previously unappreciated dynamic aspect of LEDGF/p75 functionality in HIV-1 integration targeting. Finally, we identified only six genes from patient samples—BACH2, STAT5B, MKL1, MKL2, IL2RB and MDC1—that displayed enriched integration targeting frequencies and harbored proviruses that likely contributed to cell survival. Thus, despite the known preference of HIV-1 to target cancer-related genes for integration, we conclude that genic proviruses play a limited role to directly affect cell proliferation in vivo.

Keywords

Virus Integration, HIV Infections, Data Resources and Analyses, Genomics, Models, Biological, Jurkat Cells, HEK293 Cells, Proviruses, HIV-1, Humans, Adaptor Proteins, Signal Transducing, Transcription Factors

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Average
Top 10%
Green
gold