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Single-cell metabolic profiling reveals time-associated metabolic trajectories linked to functional changes in anti-tumor NK cells.

Created on 11 Nov 2026

Authors

Huiping Qiao, Simin Cheng, Lulu Feng, Siyuan Tan, Xiaoyun Gong, Xuping Shentu

Published in

The Analyst. Nov 10, 2026. Epub Nov 10, 2026.

Abstract

Cellular metabolism shapes immune-cell function, yet single-cell metabolic heterogeneity remains analytically challenging to resolve. Here, we applied label-free cytometry by electrospray ionization mass spectrometry (CyESI-MS) to NK-92MI, a human natural killer (NK) cell line. Cells were collected from a NK-92MI/HeLa co-culture model at 0 h (resting condition), 6 h (early activation condition), and 72 h (prolonged stimulation condition). The 0 h condition was characterized by baseline cytotoxicity, low interferon gamma (IFN-γ) production, and minimal programmed cell death protein 1 (PD-1) expression. The 6 h condition was characterized by peak cytotoxicity and increased IFN-γ production. The 72 h condition was characterized by reduced cytotoxicity and IFN-γ production relative to their 6 h peaks, together with increased PD-1 expression. Single-cell metabolic profiling revealed time-associated metabolic trajectories linked to these functional changes. Across the dataset, 158 metabolite features were detected. The early activation condition showed changes consistent with antioxidant, central carbon/amino-acid, and lipid remodeling. In contrast, the prolonged stimulation condition showed broader metabolic imbalance. Together, these findings establish a proof-of-concept framework for linking single-cell metabolic trajectories with independently measured changes in NK-cell function.

PMID:
43007915
Bibliographic data and abstract were imported from PubMed on 11 Nov 2026.

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