2021
DOI: 10.1038/s41467-021-24080-1
|View full text |Cite
|
Sign up to set email alerts
|

In-depth single-cell analysis of translation-competent HIV-1 reservoirs identifies cellular sources of plasma viremia

Abstract: Clonal expansion of HIV-infected cells contributes to the long-term persistence of the HIV reservoir in ART-suppressed individuals. However, the contribution from cell clones that harbor inducible proviruses to plasma viremia is poorly understood. Here, we describe a single-cell approach to simultaneously sequence the TCR, integration sites and proviral genomes from translation-competent reservoir cells, called STIP-Seq. By applying this approach to blood samples from eight participants, we show that the trans… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

5
58
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 53 publications
(63 citation statements)
references
References 71 publications
(111 reference statements)
5
58
0
Order By: Relevance
“…FLIP-seq and similar technologies have been applied to cross-sectionally examine viral reservoir landscapes in various CD4 + T-cell subsets [ 7 , 8 ] and to longitudinally examine the evolution of the viral DNA genome populations over time [ 20 , 50 ]. MIP-seq has been applied to compare viral integration sites of intact versus defective genomes [ 32 ], reveal unique patterns of genome-intact viral integration sites in HIV elite controllers [ 24 ], and has been further developed by another group of researchers to include co-capturing of T-cell receptor sequences for antigen specificity inferences of the infected cells [ 73 ]. Application of these sequencing technologies to various cohorts have resulted in a rich collection of HIV-DNA genome sequences archived in public repositories, such as the HIV Proviral Sequence Databases [ 73 ] and the Los Alamos HIV Sequence Database [ 74 ], which are used in part to guide the design of relatively low-cost ddPCR-based assays, such as IPDA [ 27 ] and a multiplex assay by Levy et al [ 29 ] for the quantification of intact versus defective HIV-DNA genomes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…FLIP-seq and similar technologies have been applied to cross-sectionally examine viral reservoir landscapes in various CD4 + T-cell subsets [ 7 , 8 ] and to longitudinally examine the evolution of the viral DNA genome populations over time [ 20 , 50 ]. MIP-seq has been applied to compare viral integration sites of intact versus defective genomes [ 32 ], reveal unique patterns of genome-intact viral integration sites in HIV elite controllers [ 24 ], and has been further developed by another group of researchers to include co-capturing of T-cell receptor sequences for antigen specificity inferences of the infected cells [ 73 ]. Application of these sequencing technologies to various cohorts have resulted in a rich collection of HIV-DNA genome sequences archived in public repositories, such as the HIV Proviral Sequence Databases [ 73 ] and the Los Alamos HIV Sequence Database [ 74 ], which are used in part to guide the design of relatively low-cost ddPCR-based assays, such as IPDA [ 27 ] and a multiplex assay by Levy et al [ 29 ] for the quantification of intact versus defective HIV-DNA genomes.…”
Section: Discussionmentioning
confidence: 99%
“…MIP-seq has been applied to compare viral integration sites of intact versus defective genomes [ 32 ], reveal unique patterns of genome-intact viral integration sites in HIV elite controllers [ 24 ], and has been further developed by another group of researchers to include co-capturing of T-cell receptor sequences for antigen specificity inferences of the infected cells [ 73 ]. Application of these sequencing technologies to various cohorts have resulted in a rich collection of HIV-DNA genome sequences archived in public repositories, such as the HIV Proviral Sequence Databases [ 73 ] and the Los Alamos HIV Sequence Database [ 74 ], which are used in part to guide the design of relatively low-cost ddPCR-based assays, such as IPDA [ 27 ] and a multiplex assay by Levy et al [ 29 ] for the quantification of intact versus defective HIV-DNA genomes. In summary, this commentary highlights that deep sequencing like FLIP-seq and MIP-seq offers advantages, such as high-resolution data quality enabling post-hoc quality control for true single-genome amplification; but in order to take full advantage of these technologies, one has to be mindful to take necessary quality control steps to monitor data quality.…”
Section: Discussionmentioning
confidence: 99%
“…Techniques that make it possible to obtain both the structure of the provirus and its integration site have been developed. One method uses multiple displacement amplification of endpoint-diluted DNA to create multiple copies of genomic DNA containing a single integrated provirus, which can then be used for both integration site analysis and proviral sequencing [32,43,44]. At present, these methods are labor intensive, and the number of cases in which both the structure of a provirus and its cognate integration site are known is limited.…”
Section: Limitations Of Integration Site Analysismentioning
confidence: 99%
“…Blood sampling before and after analytical treatment interruptions (ATIs) in therapeutic intervention clinical trials may provide more clues regarding the origin of viral rebound. The Chomont group developed the simultaneous T cell receptor sequence (TCR), integration site, and provirus sequencing (STIP-Seq) method that captures HIV-1 clonal expansion dynamics [ 40 ]. Briefly, STIP-seq involves sorting HIV-1 p24 + single-cells for genomic DNA extraction and phi29-mediated whole-genome amplification.…”
Section: Clonally Expanded Hiv-1-infected Cells Serve As a Source Of Viral Rebound After Treatment Interruptionsmentioning
confidence: 99%
“…The amplified DNA is then split into separate aliquots for TCR sequencing, integration site sequencing, and HIV-1 near full-length proviral genome sequencing. Some HIV-1 proviruses in clonally expanded CD4 + T cells captured during viral suppression are identical to plasma viruses captured during ATIs, suggesting that clonally expanded HIV-1-infected CD4 + T cells can contribute to viral rebound [ 40 ] ( Figure 1 a).…”
Section: Clonally Expanded Hiv-1-infected Cells Serve As a Source Of Viral Rebound After Treatment Interruptionsmentioning
confidence: 99%