Stable integrant-specific differences in bimodal HIV-1 expression patterns revealed by high-throughput analysis
Date
2019-10-04
Journal Title
Journal ISSN
Volume Title
Publisher
Plos One
Abstract
HIV-1 gene expression is regulated by host and viral factors that interact with viral motifs
and is influenced by proviral integration sites. Here, expression variation among integrants
was followed for hundreds of individual proviral clones within polyclonal populations
throughout successive rounds of virus and cultured cell replication, with limited findings
using CD4+ cells from donor blood consistent with observations in immortalized cells. Tracking
clonal behavior by proviral “zip codes” indicated that mutational inactivation during
reverse transcription was rare, while clonal expansion and proviral expression states varied
widely. By sorting for provirus expression using a GFP reporter in the nef open reading
frame, distinct clone-specific variation in on/off proportions were observed that spanned
three orders of magnitude. Tracking GFP phenotypes over time revealed that as cells
divided, their progeny alternated between HIV transcriptional activity and non-activity.
Despite these phenotypic oscillations, the overall GFP+ population within each clone was
remarkably stable, with clones maintaining clone-specific equilibrium mixtures of GFP+ and
GFP- cells. Integration sites were analyzed for correlations between genomic features and
the epigenetic phenomena described here. Integrants inserted in the sense orientation of
genes were more frequently found to be GFP negative than those in the antisense orientation,
and clones with high GFP+ proportions were more distal to repressive H3K9me3 peaks
than low GFP+ clones. Clones with low frequencies of GFP positivity appeared to expand
more rapidly than clones for which most cells were GFP+, even though the tested proviruses
were Vpr-. Thus, much of the increase in the GFP- population in these polyclonal pools over
time reflected differential clonal expansion. Together, these results underscore the temporal
and quantitative variability in HIV-1 gene expression among proviral clones that areconferred in the absence of metabolic or cell-type dependent variability, and shed light on
cell-intrinsic layers of regulation that affect HIV-1 population dynamics.
Description
Research Article
Keywords
HIV-1 gene, CD4+ cells, zip codes, GFP
Citation
Read DF, Atindaana E, Pyaram K, Yang F, Emery S, Cheong A, et al. (2019) Stable integrantspecific differences in bimodal HIV-1 expression patterns revealed by high-throughput analysis. PLoS Pathog 15(10): e1007903. https://doi.org/ 10.1371/journal.ppat.1007903