Dataset Information

Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells.

ABSTRACT: The latent reservoir of HIV persists for decades in people living with HIV (PWH) on antiretroviral therapy (ART). To determine if persistence arises from the natural dynamics of memory CD4+ T cells harboring HIV, we compared the clonal dynamics of HIV proviruses to that of memory CD4+ T cell receptors (TCRβ) from the same PWH and from HIV-seronegative people. We show that clonal dominance of HIV proviruses and antigen-specific CD4+ T cells are similar but that the field’s understanding of the persistence of the less clonally dominant reservoir is significantly limited by undersampling. We demonstrate that increasing reservoir clonality over time and differential decay of intact and defective proviruses cannot be explained by mCD4+ T cell kinetics alone. Finally, we develop a stochastic model of TCRβ and proviruses that recapitulates experimental observations and suggests that HIV-specific negative selection mediates approximately 6% of intact and 2% of defective proviral clearance. Thus, HIV persistence is mostly, but not entirely, driven by natural mCD4+ T cell kinetics.

ORGANISM(S): Homo sapiens

PROVIDER: GSE266695 | GEO | 2024/09/15

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Targeted HIV cure strategies require definition of the mechanisms that maintain the virus. Here, we tracked HIV replication and the persistence of infected CD4 T cells in individuals with natural virologic control by sequencing viruses, T cell receptor genes, HIV integration sites and cellular transcriptomes. Our results revealed three mechanisms of HIV persistence operating within distinct anatomic and functional compartments. In lymph node, we detected viruses with genetic and transcriptional attributes of active replication in both T follicular helper (TFH) cells and non-TFH memory cells. In blood, we detected inducible proviruses of archival origin among highly differentiated, clonally expanded cells. Linking the lymph node and blood was a small population of circulating cells harboring inducible proviruses of recent origin. Thus, HIV replication in lymphoid tissue, clonal expansion of infected cells, and recirculation of recently infected cells act together to maintain the virus in HIV controllers despite effective antiviral immunity. Fluorescence-activated cell sorting (FACS) was used to sort subsets of CD4 T cells from blood (peripheral blood mononuclear cells; PBMC) and lymph node from a cohort of HIV-infected people with natural control of the virus (termed HIV controllers). Subsets of CD4 T cells that were sorted are as follows: from blood, (1) naÃ¯ve (N), (2) central memory (CM), (3) transitional memory (TM), and (4) effector memory (EM); from lymph node, (1) naÃ¯ve (N), (2) non-germinal center T-follicular helpers (nGC), (3) germinal center T-follicular helpers (Tfh), (4) effector memory (EM), and (5) other central memory-like subsets (CMPD1lo57lo, CMPD1lo57hi, and/or CMPD1lo). Total RNA and total DNA were extracted from these sorted subsets in separate fractions using RNAzol RT and DNAzol. Total cellular DNA was used for HIV quantification and sequence analysis as describe in the publication. Total RNA used for mRNA library construction by oligo-dT purification (Dynabeads), random fragmentation by heating in the presence of Magnesium (in form of 5x first-strand buffer, LifeTech), reverse transcription (SuperScript III), and then second-strand synthesis, end repair, a-tailing, and adaptor ligation using NEBNext enzyme master mixes and oligonucleotides. Libraries were sequenced on an Illumina HiSeq2000. Please note that each 'source name' value represent individual who havs HIV infection with natural control of the virus.

Dataset Information

Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells.

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets