HIVepsilon-seq—scalable characterization of intact persistent proviral HIV reservoirs in women

IMPORTANCE: The lack of a reliable method to accurately detect when replication-competent HIV has been cleared is a major challenge in developing a cure. This study introduces a new approach called the HIVepsilon-seq (HIVε-seq) assay, which uses long-read sequencing technology and bioinformatics to scrutinize the HIV genome at the nucleotide level, distinguishing between defective and intact HIV. This study included 30 participants on antiretroviral therapy, including 17 women, and was able to discriminate between defective and genetically intact viruses at the single DNA strand level. The HIVε-seq assay is an improvement over previous methods, as it requires minimal sample, less specialized lab equipment, and offers a shorter turnaround time. The HIVε-seq assay offers a promising new tool for researchers to measure the intact HIV reservoir, advancing efforts towards finding a cure for this devastating disease.

Authors

Institutions

Publication Details

Journal
UNC Libraries
Published
2025-04-04
DOI
https://doi.org/10.17615/6259-va71
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HIVepsilon-seq—scalable characterization of intact persistent proviral HIV reservoirs in women

Jillian M. Hammond, Shane D. Falcinelli, Kirston Barton, David M. Margolis et al.
UNC Libraries
HIV Research and Treatment
article

HIVepsilon-seq—scalable characterization of intact persistent proviral HIV reservoirs in women

Jillian M. Hammond, Shane D. Falcinelli, Kirston Barton, David M. Margolis, Jennifer Kirchherr, Shaun Carswell, Nancie M. Archin, Adaora A. Adimora, Cynthia L. Gay, James M. Ferguson, Catalina Ramirez, Katherine S. James, Martin A. Smith, Ira W. Deveson, Brent Bevear
article en

Abstract

IMPORTANCE: The lack of a reliable method to accurately detect when replication-competent HIV has been cleared is a major challenge in developing a cure. This study introduces a new approach called the HIVepsilon-seq (HIVε-seq) assay, which uses long-read sequencing technology and bioinformatics to scrutinize the HIV genome at the nucleotide level, distinguishing between defective and intact HIV. This study included 30 participants on antiretroviral therapy, including 17 women, and was able to discriminate between defective and genetically intact viruses at the single DNA strand level. The HIVε-seq assay is an improvement over previous methods, as it requires minimal sample, less specialized lab equipment, and offers a shorter turnaround time. The HIVε-seq assay offers a promising new tool for researchers to measure the intact HIV reservoir, advancing efforts towards finding a cure for this devastating disease.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Gilead Sciences, ViiV Healthcare, Oxford Nanopore Technologies, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Cancer Institute, National Institute on Deafness and Other Communication Disorders, National Institute of Nursing Research, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Dental and Craniofacial Research, National Institute on Minority Health and Health Disparities, Center for AIDS Research, University of North Carolina at Chapel Hill
Openalex Percentile: Top 71%
HIV Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.