Single Cell Transcriptomic and Epigenetic Analysis of CD4 T Cells Harboring Latent HIV during Antiretroviral Therapy

NIH RePORTER · NIH · K22 · $158,115 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY Human Immunodeficiency Virus (HIV) infection remains incurable, despite highly active antiretroviral therapy (ART) that effectively targets the viral life cycle. A small population of long-lived CD4 T cells harbors replication competent virus (the latent HIV reservoir) that rebounds when treatment is stopped. The latent reservoir is a major barrier to curing HIV but is poorly understood due to technical challenges that prevent its characterization. To address this, I developed an ultra-high throughput droplet microfluidic workflow called PCR activated cell sorting (PACS) that detects, sorts, and sequences cells containing a single copy of intracellular HIV genomic DNA. My preliminary work has demonstrated that PACS can 1) process millions of cells, 2) detect HIV DNA in single cells from ART-suppressed individuals, and 3) sort infected cells and determine their transcriptional differences by differential expression analysis. Based on these results, PACS provides a unique method to study HIV infected cells ex vivo. I hypothesize that there are specific genomic mechanisms in HIV infected cells that allow them to harbor replication competent provirus and evade the immune system. This proposal couples PACS to single cell RNA-seq and ATAC-seq in order to define what, if any, are the unique signatures of infected cells in vivo. Simultaneous sequencing of viral genomes and integration sites (in collaboration with Dr. Kearney) will allow discrimination of intact from defective virus and provide the unique opportunity to link RNA-seq and ATAC-seq datasets. This work will use samples from people on ART suppression enrolled in SCOPE, an ongoing prospective study with carefully curated clinical data, further increasing the translational value of this research. Understanding the cellular mechanisms that allow HIV to persist in vivo is critical for guiding the selection of latency reversing agents, and in the development of drugs that specifically target infected cells.

Key facts

NIH application ID
10160363
Project number
1K22AI152644-01A1
Recipient
UNIVERSITY OF CALIFORNIA BERKELEY
Principal Investigator
Iain Clark
Activity code
K22
Funding institute
NIH
Fiscal year
2021
Award amount
$158,115
Award type
1
Project period
2021-04-15 → 2023-03-31