HIV integration site analysis of cellular models of HIV latency with a probe-enriched next-generation sequencing assay

Sara Sunshine, Rory Kirchner, Sami S. Amr, Leandra Mansur, Rimma Shakhbatyan, Michelle Kim, Alberto Bosque, Robert F. Siliciano, Vicente Planelles, Oliver Hofmann, Shannan Ho Sui, Jonathan Z. Li

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Antiretroviral therapy (ART) is successful in the suppression of HIV but cannot target and eradicate the latent proviral reservoir. The location of retroviral integration into the human genome is thought to play a role in the clonal expansion of infected cells and HIV persistence. We developed a high-throughput targeted sequence capture assay that uses a pool of HIV-specific probes to enrich Illumina libraries prior to deep sequencing. Using an expanded clonal population of ACH-2 cells, we demonstrate that this sequence capture assay has an extremely low false-positive rate. This assay assessed four cellular models commonly used to study HIV latency and latency-reversing agents: ACH-2 cells, J-Lat cells, the Bcl-2-transduced primary CD4+ model, and the cultured TCM (central memory) CD4+ model. HIV integration site characteristics and genes were compared between these cellular models and to previously reported patient data sets. Across these cellular models, there were significant differences in integration site characteristics, including orientation relative to that of the host gene, the proportion of clonally expanded sites, and the proportion located within genic regions and exons. Despite a greater diversity of minority integration sites than expected in ACH-2 cells, their integration site characteristics consistently differed from those of the other models and from the patient samples. Gene ontology analysis of highly represented genes from the patient samples found little overlap with HIV-containing genes from the cell lines. These findings show that integration site differences exist among the commonly used cellular models of HIV latency and in comparison to integration sites found in patient samples.

Original languageEnglish (US)
Pages (from-to)4511-4519
Number of pages9
JournalJournal of virology
Issue number9
StatePublished - May 1 2016

ASJC Scopus subject areas

  • Microbiology
  • Immunology
  • Insect Science
  • Virology


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