Literature DB >> 26912621

HIV Integration Site Analysis of Cellular Models of HIV Latency with a Probe-Enriched Next-Generation Sequencing Assay.

Sara Sunshine1, Rory Kirchner2, Sami S Amr3, Leandra Mansur3, Rimma Shakhbatyan3, Michelle Kim4,5, Alberto Bosque6, Robert F Siliciano4,5, Vicente Planelles6, Oliver Hofmann2, Shannan Ho Sui2, Jonathan Z Li7.   

Abstract

UNLABELLED: 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. IMPORTANCE: Despite the success of ART, currently there is no successful therapy to eradicate integrated proviruses. Cellular models of HIV latency are used to test the efficacy of latency-reversing agents, but it is unclear how well these models reflect HIV integration into the human genome in vivo We have developed a novel probe-based sequence enrichment assay to sequence and analyze integrated HIV. We compared HIV integration site characteristics between four cellular models and to previously described patient data sets. Significant differences were detected in the distribution of HIV integration sites between cellular models of HIV latency and compared to data sets from patient samples. The results from this study have implications for how well these cellular models of HIV infection truly reflect HIV integration in vivo and their applicability in drug discovery for novel latency-reversing agents.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 26912621      PMCID: PMC4836361          DOI: 10.1128/JVI.01617-15

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  39 in total

1.  Nuclear architecture dictates HIV-1 integration site selection.

Authors:  Bruna Marini; Attila Kertesz-Farkas; Hashim Ali; Bojana Lucic; Kamil Lisek; Lara Manganaro; Sandor Pongor; Roberto Luzzati; Alessandra Recchia; Fulvio Mavilio; Mauro Giacca; Marina Lusic
Journal:  Nature       Date:  2015-03-02       Impact factor: 49.962

2.  Genome-wide analysis of chromosomal features repressing human immunodeficiency virus transcription.

Authors:  M K Lewinski; D Bisgrove; P Shinn; H Chen; C Hoffmann; S Hannenhalli; E Verdin; C C Berry; J R Ecker; F D Bushman
Journal:  J Virol       Date:  2005-06       Impact factor: 5.103

3.  The site of HIV-1 integration in the human genome determines basal transcriptional activity and response to Tat transactivation.

Authors:  A Jordan; P Defechereux; E Verdin
Journal:  EMBO J       Date:  2001-04-02       Impact factor: 11.598

4.  Orientation-dependent regulation of integrated HIV-1 expression by host gene transcriptional readthrough.

Authors:  Yefei Han; Yijie B Lin; Wenfeng An; Jie Xu; Hung-Chih Yang; Karen O'Connell; Dominic Dordai; Jef D Boeke; Janet D Siliciano; Robert F Siliciano
Journal:  Cell Host Microbe       Date:  2008-08-14       Impact factor: 21.023

5.  Small-molecule screening using a human primary cell model of HIV latency identifies compounds that reverse latency without cellular activation.

Authors:  Hung-Chih Yang; Sifei Xing; Liang Shan; Karen O'Connell; Jason Dinoso; Anding Shen; Yan Zhou; Cynthia K Shrum; Yefei Han; Jun O Liu; Hao Zhang; Joseph B Margolick; Robert F Siliciano
Journal:  J Clin Invest       Date:  2009-10-01       Impact factor: 14.808

6.  LEDGF/p75 is essential for nuclear and chromosomal targeting of HIV-1 integrase in human cells.

Authors:  Goedele Maertens; Peter Cherepanov; Wim Pluymers; Katrien Busschots; Erik De Clercq; Zeger Debyser; Yves Engelborghs
Journal:  J Biol Chem       Date:  2003-06-09       Impact factor: 5.157

7.  Novel structurally related compounds reactivate latent HIV-1 in a bcl-2-transduced primary CD4+ T cell model without inducing global T cell activation.

Authors:  Sifei Xing; Shridhar Bhat; Neeta S Shroff; Hao Zhang; Joseph A Lopez; Joseph B Margolick; Jun O Liu; Robert F Siliciano
Journal:  J Antimicrob Chemother       Date:  2011-12-07       Impact factor: 5.790

8.  Role of PSIP1/LEDGF/p75 in lentiviral infectivity and integration targeting.

Authors:  Heather M Marshall; Keshet Ronen; Charles Berry; Manuel Llano; Heidi Sutherland; Dyana Saenz; Wendy Bickmore; Eric Poeschla; Frederic D Bushman
Journal:  PLoS One       Date:  2007-12-19       Impact factor: 3.240

9.  Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch.

Authors:  Narasimhan J Venkatachari; Jennifer M Zerbato; Siddhartha Jain; Allison E Mancini; Ansuman Chattopadhyay; Nicolas Sluis-Cremer; Ziv Bar-Joseph; Velpandi Ayyavoo
Journal:  Retrovirology       Date:  2015-10-06       Impact factor: 4.602

10.  Histone deacetylase inhibitor romidepsin induces HIV expression in CD4 T cells from patients on suppressive antiretroviral therapy at concentrations achieved by clinical dosing.

Authors:  Datsen George Wei; Vicki Chiang; Elizabeth Fyne; Mini Balakrishnan; Tiffany Barnes; Michael Graupe; Joseph Hesselgesser; Alivelu Irrinki; Jeffrey P Murry; George Stepan; Kirsten M Stray; Angela Tsai; Helen Yu; Jonathan Spindler; Mary Kearney; Celsa A Spina; Deborah McMahon; Jacob Lalezari; Derek Sloan; John Mellors; Romas Geleziunas; Tomas Cihlar
Journal:  PLoS Pathog       Date:  2014-04-10       Impact factor: 6.823

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  27 in total

1.  Combined HIV-1 sequence and integration site analysis informs viral dynamics and allows reconstruction of replicating viral ancestors.

Authors:  Sean C Patro; Leah D Brandt; Michael J Bale; Elias K Halvas; Kevin W Joseph; Wei Shao; Xiaolin Wu; Shuang Guo; Ben Murrell; Ann Wiegand; Jonathan Spindler; Castle Raley; Christopher Hautman; Michele Sobolewski; Christine M Fennessey; Wei-Shau Hu; Brian Luke; Jenna M Hasson; Aurelie Niyongabo; Adam A Capoferri; Brandon F Keele; Jeff Milush; Rebecca Hoh; Steven G Deeks; Frank Maldarelli; Stephen H Hughes; John M Coffin; Jason W Rausch; John W Mellors; Mary F Kearney
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-27       Impact factor: 11.205

Review 2.  The Role of the BCL-2 Family of Proteins in HIV-1 Pathogenesis and Persistence.

Authors:  Aswath P Chandrasekar; Nathan W Cummins; Andrew D Badley
Journal:  Clin Microbiol Rev       Date:  2019-10-30       Impact factor: 26.132

3.  Influence of Biological Sex, Age, and HIV Status in an In Vitro Primary Cell Model of HIV Latency Using a CXCR4 Tropic Virus.

Authors:  Amanda B Macedo; Rachel S Resop; Laura J Martins; Matthew A Szaniawski; Eric S Sorensen; Adam M Spivak; Douglas F Nixon; R Brad Jones; Vicente Planelles; Alberto Bosque
Journal:  AIDS Res Hum Retroviruses       Date:  2018-08-10       Impact factor: 2.205

Review 4.  Current application of CRISPR/Cas9 gene-editing technique to eradication of HIV/AIDS.

Authors:  Z Huang; A Tomitaka; A Raymond; M Nair
Journal:  Gene Ther       Date:  2017-06-01       Impact factor: 5.250

5.  The Cultured TCM Model of HIV Latency.

Authors:  Alberto Bosque
Journal:  Methods Mol Biol       Date:  2022

6.  ISDB: a database toolkit for storing and analyzing viral integration site data.

Authors:  Thomas R Sibley; Evan J Silberman; James I Mullins
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.931

7.  Endothelial expression of human amyloid precursor protein leads to amyloid β in the blood and induces cerebral amyloid angiopathy in knock-in mice.

Authors:  Yuriko Tachida; Saori Miura; Yui Muto; Hiroyuki Takuwa; Naruhiko Sahara; Akihiro Shindo; Yukio Matsuba; Takashi Saito; Naoyuki Taniguchi; Yasushi Kawaguchi; Hidekazu Tomimoto; Takaomi Saido; Shinobu Kitazume
Journal:  J Biol Chem       Date:  2022-03-31       Impact factor: 5.486

8.  Application of targeted enrichment to next-generation sequencing of retroviruses integrated into the host human genome.

Authors:  Paola Miyazato; Hiroo Katsuya; Asami Fukuda; Yoshikazu Uchiyama; Misaki Matsuo; Michiyo Tokunaga; Shinjiro Hino; Mitsuyoshi Nakao; Yorifumi Satou
Journal:  Sci Rep       Date:  2016-06-20       Impact factor: 4.379

9.  Retrovirus Integration Database (RID): a public database for retroviral insertion sites into host genomes.

Authors:  Wei Shao; Jigui Shan; Mary F Kearney; Xiaolin Wu; Frank Maldarelli; John W Mellors; Brian Luke; John M Coffin; Stephen H Hughes
Journal:  Retrovirology       Date:  2016-07-04       Impact factor: 4.602

10.  A CRISPR/Cas9 guidance RNA screen platform for HIV provirus disruption and HIV/AIDS gene therapy in astrocytes.

Authors:  Zaohua Huang; Madahavan Nair
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

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