PLoS PathogensGenomicsPeer-reviewed journal article
Development and validation of HIV SMRTcap for the characterization of HIV-1 reservoirs across tissues and subtypes
Ghazal SadriiD, Steven T. NadakaliD, William Lauer, Justin T. KosiD, Parmit Kumar SinghiD, Erin Elliott, Catherine W. Kaiser, Easton E. FordiD, Nadia Richardson, Kaitlyn M. Shields, Elizabeth HudsoniD, Noemi LindeniD, Ali DaneshiD, James PowelliD, Peter E. Warburton, Juan SotoiD, Matthew Emery, Gintaras Y. DeikusiD, Guinevere Q. LeeiD, Susanna L. LamersiD, Steven James ReynoldsiD, Ronald Moses GaliwangoiD, Jessica L. ProdgeriD, Stephen Tomusange, Taddeo Kityamuweesi, , Melissa Laird SmithiD
Abstract
Human Immunodeficiency Virus type 1 (HIV-1) is responsible for the global HIV/AIDS epidemic and the establishment of an integrated HIV-1 reservoir remains the primary obstacle to cure. Upon therapy interruption, reactivation of the persistent HIV-1 reservoir propagates viral rebound and mediates continued immunological decline. While furthering understanding of the HIV-1 reservoir is essential for HIV-1 cure, commonly used sequencing strategies are often limited by the reliance on short-read sequencing across separate assays to determine integration sites and proviral integrity - something that does not always adequately resolve complex human genomic repeats or low complexity regions. Simultaneous identification of proviral integration sites and proviral integrity at the single molecule level would enable HIV-1 reservoir characterization with minimal imputation or bioinformatic reconstruction. Here we present HIV Single Molecule Real Time Capture (HIV SMRTcap), a novel molecular and computational pipeline that directly and simultaneously identifies HIV-1 integration sites, defines proviral integrity, and characterizes clonal expansion of HIV-1 provirus-containing cells with single molecule resolution. In combination with long-read, single-molecule, real-time (SMRT) sequencing and custom analytic pipelines, HIV SMRTcap enables a highly comprehensive characterization of HIV-1 reservoirs. Moreover, we demonstrate here that HIV SMRTcap performs robustly across the major global subtypes (HIV-1 subtype A, B, C, D and A/D recombinant viruses), and can use both cell- and tissue-derived inputs, including samples from antiretroviral therapy (ART) treated individuals with undetectable viral loads. Our results demonstrate that HIV SMRTcap serves as a comprehensive, robust method for unbiased HIV-1 reservoir characterization. Used alone, or in combination with single-cell based methods, HIV SMRTcap will enable novel exploration of viral reservoirs across subtypes and in tissue-specific compartments, providing critical information needed to inform HIV-1 cure.
- organism: human
- assay: long-read sequencing
- research focus: database / resource
- approach: experimental assay
- Citations
- 5
- FWCI
- 10.02
- Field percentile
- top 3%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- SQuHIVLa: A novel assay for Specific Quantification of inducible HIV-1 reservoir by LAMP
T. Hossain, C. Lungu, … T. Mahmoudi·bioRxiv·Jul 14, 2023
- Droplet microfluidic sequencing of HIV genomes and integration sites
Chen Sun, Leqian Liu, … Adam R. Abate·bioRxiv·Sep 25, 2020
- Integrative assessment of total and intact HIV-1 reservoir by a five-region multiplexed Rainbow digital PCR assay
Mareva Delporte, Laurens Lambrechts, … Wim Trypsteen·Clinical ChemistryPeer-reviewed·Dec 3, 2024
- In-depth single-cell analysis of translation-competent HIV-1 reservoirs identifies cellular sources of plasma viremia
B. Cole, L. Lambrechts, … L. Vandekerckhove·bioRxiv·Feb 15, 2021
- Extensive characterization of HIV-1 reservoirs reveals links to plasma viremia before and during analytical treatment interruption
B. Cole, L. Lambrechts, … L. Vandekerckhove·bioRxiv·Feb 4, 2021
- Longitudinal clonal dynamics of HIV-1 latent reservoirs measured by combination quadruplex polymerase chain reaction and sequencing
A. Cho, C. Gaebler, … M. Nussenzweig·bioRxiv·Oct 28, 2021