Extracellular vesicles (EVs) are naturally occurring nano-sized carriers that are secreted by cells and facilitate cell-to-cell communication by their unique ability to transfer biologically active cargo. Despite the pronounced increase in our understanding of EVs over the last decade, from disease pathophysiology to therapeutic drug delivery, improved molecular tools to track their therapeutic delivery are still needed. Unfortunately, the present catalogue of tools utilised for EV labelling lacks sensitivity or are not sufficiently specific. Here, we have explored the bioluminescent labelling of EVs using different luciferase enzymes tethered to CD63 to achieve a highly sensitive system for in vitro and in vivo tracking of EVs. Using tetraspanin fusions to either NanoLuc or ThermoLuc permits performing highly sensitive in vivo quantification of EVs or realtime imaging, respectively, at low cost and in a semi-high throughput manner. We find that the in vivo distribution pattern of EVs is determined by the route of injection, but that different EV subpopulations display differences in biodistribution patterns. By applying this technology for real-time non-invasive in vivo imaging of EVs, we show that their distribution to different internal organs occurs just minutes after administration.
Up to 40% of advance lung, melanoma and breast cancer patients suffer from brain metastases (BM) with increasing incidence. Here, we assessed whether circulating tumor cells (CTCs) in peripheral blood can serve as a disease surrogate, focusing on CD44 and CD74 expression as prognostic markers for BM. We show that a size-based microfluidic approach in combination with a semi-automated cell recognition system are well suited for CTC detection in BM patients and allow further characterization of tumor cells potentially derived from BM. CTCs were found in 50% (7/14) of breast cancer, 50% (9/18) of non-small cell lung cancer (NSCLC) and 36% (4/11) of melanoma patients. The next-generation sequencing (NGS) analysis of nine single CTCs from one breast cancer patient revealed three different CNV profile groups as well as a resistance causing ERS1 mutation. CD44 and CD74 were expressed on most CTCs and their expression was strongly correlated, whereas matched breast cancer BM tissues were much less frequently expressing CD44 and CD74 (negative in 46% and 54%, respectively). Thus, plasticity of CD44 and CD74 expression during trafficking of CTCs in the circulation might be the result of adaptation strategies.
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