← BioTransfer GEO Dataset Finder
GEO series

Defining the Effects of PKC Modulator HIV Latency-Reversing Agents on Natural Killer Cells

GSE287754 Homo sapiens Expression profiling by high throughput sequencing 39 samples 2025/01/23 GPL24676
Summary
Latency reversing agents (LRAs) such as protein kinase C (PKC) modulators can reduce rebound-competent HIV reservoirs in small animal models. Furthermore, administration of natural killer (NK) cells following LRA treatment improves this reservoir reduction. It is currently unknown why the combination of a PKC modulator and NK cells is so potent and whether exposure to PKC modulators may augment NK cell function in some way. Here, we compare the transcriptional profiles of PKC-treated NK and CD4+ T cells to assess their generalized cellular effects. Transcriptomic profiles from both cell types displayed signatures of cellular activation and enrichment of genes associated with the NFκB pathway. However, the transcriptomic effects of PKC stimulation on NK cells are much milder than that in CD4+ T cells. This finding, combined with our experimental data testing killing capacity of PKC-stimulated NK cells against K562 cells and infected CD4+ T cells suggests that their contribution in “kick and kill” strategies is primarily due to upregulating HIV expression in CD4+ T cells, rather than directly enhancing the effector functions of NK cells. This suggests that PKC modulators are primarily augmenting the “kick” rather than the “kill” arm of this HIV cure approach.
Download
NCBI GEO page ↗ Paper (PMID 38765786) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.