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Published on: June 14, 2018
Gene Regulatory Programs Conferring Phenotypic Identities to Human NK Cells
Patrick L Collins1, Marina Cella1, Sofia I Porter1
1Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
Abstract:
Natural killer (NK) cells develop from common progenitors but diverge into distinct subsets, which differ in cytokine production, cytotoxicity, homing, and memory traits. Given their promise in adoptive cell therapies for cancer, a deeper understanding of regulatory modules controlling clinically beneficial NK phenotypes is of high priority. We report integrated "-omics" analysis of human NK subsets, which revealed super-enhancers associated with gene cohorts that may coordinate NK functions and localization. A transcription factor-based regulatory scheme also emerged, which is evolutionarily conserved and shared by innate and adaptive lymphocytes. For both NK and T lineages, a TCF1-LEF1-MYC axis dominated the regulatory landscape of long-lived, proliferative subsets that traffic to lymph nodes. In contrast, effector populations circulating between blood and peripheral tissues shared a PRDM1-dominant landscape. This resource defines transcriptional modules, regulated by feedback loops, which may be leveraged to enhance phenotypes for NK cell-based therapies.
Insights
This study reveals key gene regulatory networks controlling natural killer (NK) cell subsets. Understanding these pathways can help improve NK cell therapies for cancer treatment.
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.
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