Since the T-box transcription factors (TFs) T-BET and EOMES are necessary for initiation of NK cell development, their ongoing requirement for mature NK cell homeostasis, function, and molecular programming remains unclear. To address this, T-BET and EOMES were deleted in unexpanded primary human NK cells using CRISPR/Cas9. Deleting these TFs compromised in vivo antitumor response of human NK cells. Mechanistically, T-BET and EOMES were required for normal NK cell proliferation and persistence in vivo. NK cells lacking T-BET and EOMES also exhibited defective responses to cytokine stimulation. Single-cell RNA-Seq revealed a specific T-box transcriptional program in human NK cells, which was rapidly lost following T-BET and EOMES deletion. Further, T-BET– and EOMES-deleted CD56bright NK cells acquired an innate lymphoid cell precursor–like (ILCP-like) profile with increased expression of the ILC-3–associated TFs RORC and AHR, revealing a role for T-box TFs in maintaining mature NK cell phenotypes and an unexpected role of suppressing alternative ILC lineages. Our study reveals the critical importance of sustained EOMES and T-BET expression to orchestrate mature NK cell function and identity.
Pamela Wong, Jennifer A. Foltz, Lily Chang, Carly C. Neal, Tony Yao, Celia C. Cubitt, Jennifer Tran, Samantha Kersting-Schadek, Sathvik Palakurty, Natalia Jaeger, David A. Russler-Germain, Nancy D. Marin, Margery Gang, Julia A. Wagner, Alice Y. Zhou, Miriam T. Jacobs, Mark Foster, Timothy Schappe, Lynne Marsala, Ethan McClain, Patrick Pence, Michelle Becker-Hapak, Bryan Fisk, Allegra A. Petti, Obi L. Griffith, Malachi Griffith, Melissa M. Berrien-Elliott, Todd A. Fehniger
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 2,375 | 700 |
297 | 171 | |
Figure | 968 | 15 |
Supplemental data | 237 | 40 |
Citation downloads | 68 | 0 |
Totals | 3,945 | 926 |
Total Views | 4,871 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.