T-Cell-Derived Exosomes from Multicore Granules Exhibit Superior Caspase-3-Mediated Tumor-Suppressive Activity Compared to those from Multivesicular Bodies

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Authors: Nadia Alawar, Claudia Schirra, Ruth Rasuli, Claudia Fecher-Trost, Lisa Weins, Markus Robert Meyer, Veit Flockerzi, Andreas Keller, Michael Loran Dustin, Jens Rettig, Ute Becherer
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Abstract

Small extracellular vesicles (sEVs) derived from cytotoxic T lymphocytes (CTLs) are emerging as potential mediators of antitumor immunity; however, their subcellular origins and functional properties remain incompletely defined. In this study, we investigated the intracellular routes and cytotoxic potential of CTL-derived exosomes. Using correlative light and electron microscopy, we discovered that CTL-derived exosomes originate from both classical multivesicular bodies (MVBs) and the recently identified multi core granules (MCGs). Through total internal reflection fluorescence microscopy, we demonstrated that, in contrast to MVB-derived exosomes, MCG-derived exosomes are released at the immunological synapse in a stimulus-dependent manner. To enable functional characterization, we developed a scalable primary cell culture method for the isolation of high-purity exosomes. Super-resolution microscopy revealed significant heterogeneity in exosome size and tetraspanin composition. Notably, MCG-derived exosomes exhibited fivefold higher cytotoxic activity than MVB-derived exosomes, inducing apoptosis in tumor cells via a caspase 3-dependent mechanism. These findings reveal that CTLs exploit distinct secretory pathways to release heterogeneous exosome populations with differential cytotoxic capacities, offering new insights into CTL-mediated immune responses and providing a basis for the development of novel exosome-based immunotherapies.

Fields of Study & Subjects

Extracellular vesicles in disease Cellular transport and secretion Cell death mechanisms and regulation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN
Document type
Dataset