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INTEGRATED ATAC-SEQ AND RNA-SEQ ANALYSIS IDENTIFIES KEY REGULATORY ELEMENTS IN FEEDER CELL-ACTIVATED NK CELLS [RNA-seq]

GSE268341 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/05/22 Platform GPL16791
Summary
NK cells can potentially be used in allogeneic immunotherapy; however, for such use as off-the-shelf medicines, NK cells need to undergo ex vivo expansion, typically through activation with feeder cells, to generate enough cells for clinical applications. Upon stimulation with feeder cells, NK cells undergo profound changes in gene expression, altering their metabolic activity, cell cycle progression, and growth behavior. After examining the transcriptome and chromatin accessibility of NK cells before and 7 days after feeder cell activation, significant alterations were seen. These changes are even more pronounced in genome regions closer to enhancers. Several transcription factors, including AP-1, IRF4, STATs, T-bet, Eomes, and bHLHE40, which play key roles in NK cell development and immune response, exhibited differential binding activity between unstimulated and day 7 NK cells. Gene sets composed of target genes downstream of these transcription factors were also enriched at day 7, implying their involvement in NK cell activation. Moreover, we compared potential super-enhancer regions in NK cells before and after coculture, combined with the transcriptional activity of nearby genes. We identified stable and transcriptionally active super-enhancers in unstimulated and day 7 NK cells, as well as those that form or disappear after coculture initiation. The transcriptomic and epigenetic characterization of NK cells presented in this study could facilitate the ex vivo expansion and engineering of functionally superior NK cells.
Published in
Integrated ATAC-seq and RNA-seq analysis identifies key regulatory elements in NK cells activated with feeder cells and IL-2
Motallebnejad P, Lee Z, One JL et al. · Bioengineering & translational medicine 2025 · PMID 40385536 · doi:10.1002/btm2.10747
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Also filed as BioProject PRJNA1116240 and SRA study SRP509826. Searching any of these in the dataset finder brings you back here.

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