Abstract 4977: Dynamic transcriptional programs controlling single NK cell killing dynamics

Abstract

Abstract NK cells have a vast heterogeneity in function and phenotype in vivo and their healthy function is critical in the prevention of nascent cancers. NK cell-based immunotherapies, such as adoptive NK cell therapy, are emerging and greater insights into the mechanism of NK cell activation could increase their efficacy. In vitro cytotoxicity assays have revealed that a small subset of NK cells kill the majority of cancer target cells, yet little is known about the dynamic state or triggers of these highly cytotoxic cells. Here, we present methodology for discovery of the molecular precursors and drivers of single NK cell killing events. We study the NK-92 cell line both as a model of primary NK cells and to gain direct insights for improving NK-92 based adoptive cell therapies. In our method, we first performed single cell RNA sequencing on NK-92 cells seeded sparsely on a monolayer of HeLa cancer cells along with a control NK-92 cell population. Clustering cells by principal component analysis revealed groups of NK cells that upregulated genes associated with NK cell cytotoxicity in the HeLa cell activated sample that are absent in the control group. Landmark genes associated with the cytotoxic NK cell clusters included PRF1, GZMK, and ITGB2. Utilizing live cell imaging, we identified categories of dynamic functional phenotypes in NK-92 cells exposed to a HeLa cell monolayer including non-motile and non-killing, highly motile but non-killing, single killing, serial killing, and exhausted. In order to link the systems-level single cell gene expression data to functional NK cell behaviors, we next performed high content live cell imaging of NK-92 cells bearing cas9-based endogenous genetic reporters as they surveilled and killed HeLa cells. Utilizing a custom analysis algorithm, we tracked the motility and killing activity of individual NK-92 cells, and correlated this activity to the dynamic gene expression. Next, we aim to identify the causality and sequence of transcriptional changes associated with NK cell killing and extend our results to the analysis of the critical transcription factor networks governing dynamic NK cell functional phenotypes. We note that the single cell functional discovery strategy that we have shown can be applied more broadly to other model systems of the cancer microenvironment. Citation Format: Matthew S. Hall, Joseph T. Decker, Emanuelle I. Grody, Rachel B. Blaisdell, Jacqueline S. Jeruss, Lonnie D. Shea. Dynamic transcriptional programs controlling single NK cell killing dynamics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4977.