Gene Regulatory Programs Conferring Phenotypic Identities to Human NK Cells.

Area of Science:

• Immunology
• Molecular Biology
• Genomics

Background:

• Natural killer (NK) cells are crucial immune cells with diverse subsets impacting cancer therapy.
• Understanding the regulatory mechanisms governing NK cell phenotypes is vital for advancing adoptive cell therapies.

Purpose of the Study:

• To perform an integrated multi-omics analysis of human NK cell subsets.
• To identify regulatory modules and transcription factor networks controlling NK cell function and localization.
• To define transcriptional modules that can be leveraged for enhancing NK cell-based cancer therapies.

Main Methods:

• Integrated analysis of multi-omics data from human NK cell subsets.
• Identification of super-enhancers and associated gene cohorts.
• Characterization of transcription factor-based regulatory schemes, including TCF1-LEF1-MYC and PRDM1 axes.

Main Results:

• Discovery of super-enhancers coordinating NK cell functions and tissue localization.
• Identification of an evolutionarily conserved transcription factor regulatory scheme shared by innate and adaptive lymphocytes.
• Defined distinct regulatory landscapes for long-lived, lymph node-homing NK cell subsets (TCF1-LEF1-MYC axis) versus effector populations (PRDM1-dominant landscape).

Conclusions:

• The study defines critical transcriptional modules and feedback loops governing NK cell subset differentiation and function.
• These findings provide a valuable resource for engineering enhanced NK cell phenotypes for adoptive cell therapies in cancer.
• The identified regulatory axes offer potential targets for modulating NK cell behavior in therapeutic contexts.