Author
Listed:
- Iain C. Clark
(University of California, San Francisco
Brigham and Women’s Hospital, Harvard Medical School
University of California, Berkeley)
- Prakriti Mudvari
(National Institutes of Health)
- Shravan Thaploo
(Brigham and Women’s Hospital, Harvard Medical School)
- Samuel Smith
(National Institutes of Health)
- Mohammad Abu-Laban
(National Institutes of Health)
- Mehdi Hamouda
(National Institutes of Health)
- Marc Theberge
(National Institutes of Health)
- Sakshi Shah
(University of California, Berkeley)
- Sung Hee Ko
(National Institutes of Health)
- Liliana Pérez
(National Institutes of Health)
- Daniel G. Bunis
(National Institutes of Health)
- James S. Lee
(National Institutes of Health)
- Divya Kilam
(National Institutes of Health)
- Saami Zakaria
(National Institutes of Health)
- Sally Choi
(National Institutes of Health)
- Samuel Darko
(National Institutes of Health)
- Amy R. Henry
(National Institutes of Health)
- Michael A. Wheeler
(Brigham and Women’s Hospital, Harvard Medical School
Broad Institute of MIT and Harvard)
- Rebecca Hoh
(University of California, San Francisco)
- Salwan Butrus
(University of California, Berkeley)
- Steven G. Deeks
(University of California, San Francisco)
- Francisco J. Quintana
(Brigham and Women’s Hospital, Harvard Medical School
Broad Institute of MIT and Harvard)
- Daniel C. Douek
(National Institutes of Health)
- Adam R. Abate
(University of California, San Francisco)
- Eli A. Boritz
(National Institutes of Health)
Abstract
Rare CD4 T cells that contain HIV under antiretroviral therapy represent an important barrier to HIV cure1–3, but the infeasibility of isolating and characterizing these cells in their natural state has led to uncertainty about whether they possess distinctive attributes that HIV cure-directed therapies might exploit. Here we address this challenge using a microfluidic technology that isolates the transcriptomes of HIV-infected cells based solely on the detection of HIV DNA. HIV-DNA+ memory CD4 T cells in the blood from people receiving antiretroviral therapy showed inhibition of six transcriptomic pathways, including death receptor signalling, necroptosis signalling and antiproliferative Gα12/13 signalling. Moreover, two groups of genes identified by network co-expression analysis were significantly associated with HIV-DNA+ cells. These genes (n = 145) accounted for just 0.81% of the measured transcriptome and included negative regulators of HIV transcription that were higher in HIV-DNA+ cells, positive regulators of HIV transcription that were lower in HIV-DNA+ cells, and other genes involved in RNA processing, negative regulation of mRNA translation, and regulation of cell state and fate. These findings reveal that HIV-infected memory CD4 T cells under antiretroviral therapy are a distinctive population with host gene expression patterns that favour HIV silencing, cell survival and cell proliferation, with important implications for the development of HIV cure strategies.
Suggested Citation
Iain C. Clark & Prakriti Mudvari & Shravan Thaploo & Samuel Smith & Mohammad Abu-Laban & Mehdi Hamouda & Marc Theberge & Sakshi Shah & Sung Hee Ko & Liliana Pérez & Daniel G. Bunis & James S. Lee & Di, 2023.
"HIV silencing and cell survival signatures in infected T cell reservoirs,"
Nature, Nature, vol. 614(7947), pages 318-325, February.
Handle:
RePEc:nat:nature:v:614:y:2023:i:7947:d:10.1038_s41586-022-05556-6
DOI: 10.1038/s41586-022-05556-6
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Citations
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Cited by:
- Daniel B. Reeves & Charline Bacchus-Souffan & Mark Fitch & Mohamed Abdel-Mohsen & Rebecca Hoh & Haelee Ahn & Mars Stone & Frederick Hecht & Jeffrey Martin & Steven G. Deeks & Marc K. Hellerstein & Jos, 2023.
"Estimating the contribution of CD4 T cell subset proliferation and differentiation to HIV persistence,"
Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Marion Pardons & Basiel Cole & Laurens Lambrechts & Willem van Snippenberg & Sofie Rutsaert & Ytse Noppe & Nele De Langhe & Annemieke Dhondt & Jerel Vega & Filmon Eyassu & Erik Nijs & Ellen Van Gulck , 2023.
"Potent latency reversal by Tat RNA-containing nanoparticle enables multi-omic analysis of the HIV-1 reservoir,"
Nature Communications, Nature, vol. 14(1), pages 1-18, December.
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