Profiling Nascent Tumor Extracellular Vesicles via Metabolic Timestamping and Aptamer-Driven Specific Click Chemistry

Tumor-derived extracellular vesicles (tEVs) are essential mediators of tumor progression and therapeutic resistance, yet their secretion dynamics and cargo composition in response to therapies remain poorly understood. Here, we present STAMP, <u>s</u>pecific click-<u>t</u>agging driven by <u>a</u>ptamer for tEV labeled with a <u>m</u>etabolic timestam<u>p</u>, which exploits the unique kinetics and thermodynamics of aptamer to significantly enhance the local concentration of clickable probes on tEVs for their covalent attachment to the timestamp, resulting in the selective microfluidic isolation of nascent tEVs following stimulation. In a PD-L1 antibody-treated model, we demonstrated the feasibility of STAMP and revealed a robust positive correlation between the nascent EpCAM<sup>+</sup> EV levels and tumor volume. Proteome profiling of isolated nascent tEVs identified previously unknown upregulated vesicle proteins following immunotherapy, including key regulators of immune activation and suppression, suggesting that tumors orchestrate an intricate dual adaptive response through tEV secretion modulation to simultaneously elicit therapeutic sensitivity and resistance. Notably, among the upregulated proteins, we identified HSP70, whose enhanced presentation on tEVs promotes antitumor immunity and inhibits tumor growth. Thus, STAMP provides an effective gateway for studying EV dynamics with cell-origin accuracy and for identifying potential therapeutic targets based on EV transitions.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-03-13
DOI
https://doi.org/10.1021/jacs.5c01973
Citations
6
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
4.84

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article

Profiling Nascent Tumor Extracellular Vesicles via Metabolic Timestamping and Aptamer-Driven Specific Click Chemistry

Yanling Song, Yihao Huang, T.M. Wang, Sinong Liu et al.
6 citations
Journal of the American Chemical Society
Extracellular vesicles in disease
4.84
article

Profiling Nascent Tumor Extracellular Vesicles via Metabolic Timestamping and Aptamer-Driven Specific Click Chemistry

Yanling Song, Yihao Huang, T.M. Wang, Sinong Liu, Zhenlong You, Qiuyue Wu, Chaoyong James Yang, Yinyan Zeng, Chi Zhang, Wencheng Wang, Yuqian Zhang, Ximing Chen
article en
6 citations

Abstract

Tumor-derived extracellular vesicles (tEVs) are essential mediators of tumor progression and therapeutic resistance, yet their secretion dynamics and cargo composition in response to therapies remain poorly understood. Here, we present STAMP, <u>s</u>pecific click-<u>t</u>agging driven by <u>a</u>ptamer for tEV labeled with a <u>m</u>etabolic timestam<u>p</u>, which exploits the unique kinetics and thermodynamics of aptamer to significantly enhance the local concentration of clickable probes on tEVs for their covalent attachment to the timestamp, resulting in the selective microfluidic isolation of nascent tEVs following stimulation. In a PD-L1 antibody-treated model, we demonstrated the feasibility of STAMP and revealed a robust positive correlation between the nascent EpCAM<sup>+</sup> EV levels and tumor volume. Proteome profiling of isolated nascent tEVs identified previously unknown upregulated vesicle proteins following immunotherapy, including key regulators of immune activation and suppression, suggesting that tumors orchestrate an intricate dual adaptive response through tEV secretion modulation to simultaneously elicit therapeutic sensitivity and resistance. Notably, among the upregulated proteins, we identified HSP70, whose enhanced presentation on tEVs promotes antitumor immunity and inhibits tumor growth. Thus, STAMP provides an effective gateway for studying EV dynamics with cell-origin accuracy and for identifying potential therapeutic targets based on EV transitions.

Journal of the American Chemical SocietyVol. 147(12)
Shanghai Jiao Tong University (CN), Xiamen University (CN), Renji Hospital (CN), Institute of Molecular Medicine (IN), State Key Laboratory of Chemical Engineering (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Fujian Province, National Science and Technology Major Project, Program for Changjiang Scholars and Innovative Research Team in University
Openalex Percentile: Top 5%
Extracellular vesicles in disease
4.84
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