# Molecular mechanism of natural killer cell recognition > **NIH NIH DP2** · UNIVERSITY OF CHICAGO · 2022 · $492,000 ## Abstract PROJECT SUMMARY Natural killer (NK) cells are the major effector lymphocytes of innate immunity that play a critical role in the immune surveillance of cancer and infection. NK cells distinguish between healthy and abnormal cells by using an array of activating and inhibitory receptors to recognize their respective ligands expressed on a target cell. NK cell recognition determines the education, development, differentiation, function and memory of an NK cell. Thus, understanding the molecular mechanism of NK cell recognition is of critical importance in immunology. NK cell recognition has following important characteristics: (1) it is dynamic – NK cell recognition is governed by the transient receptor-ligand interactions at the live cell membrane, (2) it is complex – multiple receptor- ligand interactions function together to determine the responsiveness of an NK cell, (3) it is specific – NK cells can discriminate between healthy and abnormal cells, (4) it is safe – NK cell activation is stringently controlled by inhibitory receptors to avoid inadvertent stimulation, (5) it is a binding-signaling coupled process – an NK cell is able to translate its binding events to cellular signals, and (6) it is a signaling integration process. This complexity reflects the uniquely demanding nature of NK cell recognition, which requires simultaneous detection of multiple ligands on the surface of the target cell being surveyed, precise propagation of recognition signals across the cell membrane, rational integration of activating and inhibitory signals, and fine- tuning of NK cell immune responses. The importance and complexity of NK cell recognition has motivated intensive research for the understanding of the fundamental molecular mechanism. Many models have been proposed but the molecular mechanism governing NK cell recognition remains elusive. The main problem in most studies is the inability to directly measure in situ receptor-ligand interactions with single-molecule resolution, simultaneously visualize real-time live NK cell signaling at the single-cell level, and comprehensively determine the functional phenotypes of individual NK cells. Here we propose an integration model that an NK cell determines its activation threshold by integrating the strength and amplitude of different activating and inhibitory signals from an encountered target cell (responsiveness) and then adjusts it to determine the future threshold for activation upon a new encounter (memory). To test our hypothesis, we propose to apply our state-of-the-art single-cell micropipette assays, single-molecule and super-resolution imaging, and single-cell sequencing technologies, to directly and precisely measure surface molecular interactions, intracellular signaling, and transcriptome and proteome of single NK cells at the single-molecule level. These data can fully address the molecular mechanism of signal reception, transduction, integration, and regulation of NK cell recognition. The re... ## Key facts - **NIH application ID:** 10687603 - **Project number:** 3DP2AI144245-01S1 - **Recipient organization:** UNIVERSITY OF CHICAGO - **Principal Investigator:** Jun Huang - **Activity code:** DP2 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $492,000 - **Award type:** 3 - **Project period:** 2018-09-30 → 2023-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10687603 ## Citation > US National Institutes of Health, RePORTER application 10687603, Molecular mechanism of natural killer cell recognition (3DP2AI144245-01S1). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/10687603. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*