Membrane Protein Modification Modulates Big and Small Extracellular Vesicle Biodistribution and Tumorigenic Potential in Breast Cancers in vivo.
Bryan John Abel MagolingAnthony Yan-Tang WuYen-Ju ChenWendy Wan-Ting WongSteven Ting-Yu ChuoHsi-Chien HuangYun-Chieh SungHsin Tzu HsiehPoya HuangKang-Zhang LeeKuan-Wei HuangRuey-Hwa ChenYunching ChenCharles Pin-Kuang LaiPublished in: Advanced materials (Deerfield Beach, Fla.) (2023)
Extracellular vesicles (EVs) are released by cells to mediate intercellular communication under pathological and physiological conditions. While small EVs (sEVs; <100-200 nm, exosomes) are intensely investigated, the properties and functions of medium and large EVs (big EVs [bEVs]; >200 nm, microvesicles) are less well explored. Here, we identify bEVs and sEVs as distinct EV populations, and determine that bEVs are released in a greater bEV:sEV ratio in the aggressive human triple-negative breast cancer (TNBC) subtype. PalmGRET, bioluminescence resonance energy transfer (BRET)-based EV reporter, reveals dose-dependent EV biodistribution at non-lethal and physiological EV dosages, as compared to lipophilic fluorescent dyes. Remarkably, the bEVs and sEVs exhibit unique biodistribution profiles, et individually promote in vivo tumor growth in a syngeneic immunocompetent TNBC breast tumor murine model. The bEVs and sEVs share mass spectrometry (MS)-identified tumor progression-associated EV surface membrane proteins (tpEVSurfMEMs), which include SLC29A1, CD9 and CD44. tpEVSurfMEM depletion attenuates EV lung organotropism, alters biodistribution, and reduces protumorigenic potential. This study identifies distinct in vivo property and function of bEVs and sEVs in breast cancer, which suggest the significant role of bEVs in diseases, diagnostic and therapeutic applications. This article is protected by copyright. All rights reserved.
Keyphrases
- energy transfer
- mass spectrometry
- pet imaging
- quantum dots
- endothelial cells
- photodynamic therapy
- big data
- mesenchymal stem cells
- induced apoptosis
- ms ms
- multiple sclerosis
- liquid chromatography
- genome wide
- dna methylation
- machine learning
- long non coding rna
- cell cycle arrest
- high performance liquid chromatography
- artificial intelligence
- endoplasmic reticulum stress
- deep learning
- bone marrow
- positron emission tomography
- climate change