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Exosomes

Exosomes are small membrane vesicles of endocytic origin secreted by most cell types in vitro. Cells continuously secrete a large number of microvesicles, exosomes and small molecules into the extracellular space. Exosomes have been shown to contain mRNA and miRNA and they are able to mediate communication between cells, by transport of RNA and proteins which can be functionalized in the recipient cell. The ability to transport bioactive cargoes, gives exosomes innate therapeutic potential as a natural drug carrier. Efficient techniques for loading drugs into exosomes to utilize the natural carrier capabilities of these vesicles remains to be elucidated.

Applications of Exosomes

The presence exosomes in blood, saliva, and urine paves the way for the possible application of exosomes as a diagnostic marker for diseases. Many diseases are difficult to detect by the methods and equipment available today and there is a growing demand for development of new non‐invasive methods to detect diseases in early stages. The use of exosomes as markers of disease is being investigated to cement their potential as a non-invasive diagnostic tool for early detection of many diseases, in particular cancers. This, however, relies on thorough characterisation of exosomes in both healthy and diseased states

An important factor to understanding the roles of exosomes is knowledge of their biodistribution. Currently, the number of publications describing the biodistribution of exosomes is limited. The main reason being the lack of a robust fluorescent label that can be visualised in vivo. Mapping the specific cell type derived exosomes can increase our knowledge on the roles of exosomes in the organism, as well as help to identify natural targeting systems.

Isolation, Characterisation and Fluorescent Labelling

The most common isolation protocol uses a differential centrifugation to fractionate cells, microvesicles, and exosomes, which are pelleted by ultracentrifugation. After vesicles are secreted from cells into the extracellular environment, it difficult to separate the different subpopulations of vesicles to obtain a pure sample. We have developed methods to optimise isolation and thorough characterisation procedures to obtain pure and well-characterised exosomes. Furthermore, we have developed a simple method for labelling of exosomes with a robust fluorescent label that can be visualised in vivo, allowing investigation of the biodistribution of different cell derived exosomes.

Collaborators:

Department of Clinical Medicine, Aarhus University Hospital, Denmark

Dan Peer, Department of Cell Research & Immunology, Tel Aviv University, Israel

Moein Moghimi, school of Medicine, Pharmacy and Health, Durham University, UK

Recent Publications

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Jørgensen, ME, Vequaud, D, Wang, Y, Andersen, CB, Bayer, M, Box, A, Braune, KB, Cai, Y, Chen, F, Cuesta-Seijo, JA, Dong, H, Fincher, GB, Gojkovic, Z, Huang, Z, Jaegle, B, Kale, SM, Krsticevic, F, Le Roux, P-M, Lozier, A, Lu, Q, Mascher, M, Murozuka, E, Nakamura, S, Simmelsgaard, MU, Pedas, PR, Pin, PA, Podzimska-Sroka, D, Sato, K, Spannagl, M, Rasmussen, MW, Russell, J, Schreiber, M, Thomsen, HC, Thomsen, NW, Tulloch, S, Voss, C, Skadhauge, B, Stein, N, Willerslev, E, Waugh, R & Dockter, C 2026, 'Postdomestication selection of MKK3 shaped seed dormancy and end-use traits in barley', Science, vol. 391, no. 6780, eadx2022, pp. 90-95. https://doi.org/10.1126/science.adx2022
Schulten, I, Maselli, V, King, EL, Schmidt, M, Hensen, C, Müller, T, Asioli, A, Micallef, A, Berndt, C, Brown, CJ, Córdoba-Ramírez, F, Elger, J, Hölz, S, Kotliarov, A, Kurylyk, B, Yu, S & Nedimović, MR 2026, 'Post-LGM sedimentation history and deglaciation processes in the southern Gulf of St. Lawrence, Canada', Quaternary Science Reviews, vol. 372, 109715. https://doi.org/10.1016/j.quascirev.2025.109715
Montomoli, J, Baldassarre, M, Sandahl, TD, Naldi, M, Glavind, E, Pompili, E, Jepsen, P, Palmese, F, Caraceni, P, Vilstrup, H & Domenicali, M 2026, 'Post-Translational Changes in Serum Albumin in Patients with Alcohol-Associated Hepatitis', International Journal of Molecular Sciences , vol. 27, no. 3, 1503. https://doi.org/10.3390/ijms27031503
Ravn, KS 2026, Poul Martin Møller's Poems. in N Bravo, FG Jensen & J Stewart (eds), Poul Martin Møller: Poet, Philosopher and Philologist . vol. 16, Brill, Leiden and Boston, Danish Golden Age Studies, vol. 16, pp. 305.
Ravn, KS 2026, Poul Martin Møller's The Adventures of a Danish Student. in N Bravo, FG Jensen & J Stewart (eds), Poul Martin Møller: Poet, Philosopher and Philologist . vol. 16, Brill, Leiden and Boston, Danish Golden Age Studies, vol. 16, pp. 239.
Tesfamariam, YM, Christensen, MH, Diehl, S, Klein, T, Lingnau, JM, Normann, S, Hagelauer, E, Herbert, M, Reimer, S, Joshi, RP, Engels, P, Pritzl, S, Fontana, P, Zillinger, T, Hartmann, G, Eis-Hübinger, A, Lam, MC, Walgenbach, KJ, Meissner, F, Wu, H & Schmidt, FI 2026, 'Poxvirus dsDNA genomes differentially activate AIM2 or NLRP3 inflammasomes in human primary cells', EMBO Journal, vol. 45, no. 5, pp. 1728-1759. https://doi.org/10.1038/s44318-025-00690-z
Kunisch, S, Leicht-Deobald, U, Laamanen, T, Schulte Steinberg, A & Ambos, B 2026, 'Practice Adoption in MNCs: A Multi-Level Interactionist Model of Trait Activation', Global Strategy Journal. https://doi.org/10.1002/gsj.70014
Kousholt, D, Sander, O, Nissen, M & Huniche, L 2026, 'PRACTICE RESEARCH – THE DANISH TRADITIONS', Forum Kritische Psychologie - Neue Folge.
Gulmann, M, Christensen, L & Aarkrog, V 2026, PRAKSISFAGLIGHED SOM ERHVERVSRETTET UNDERVISNING I FOLKESKOLEN. Københavns Professionshøjskole og Aarhus Universitet.
Luque, NM, Leader, L, Lowe, SM, Horrowitz, SD, Tare, M, Hinkley, V, Matchkov, VV, Costantine, MM, Markus, I, Liu, L, Sandow, SL & Murphy, TV 2026, 'Pravastatin Corrects Endothelial Dysfunction in Ex Vivo Uterine Radial Arteries in Preeclampsia', Acta Physiologica, vol. 242, no. 4, e70186. https://doi.org/10.1111/apha.70186
Bønding, EW, Thunbo, MM & Agersnap, A 2026, Preaching During the COVID-19 Pandemic: A Quantitative Close Reading of Danish Sermons during National Lockdowns. in Aarhus University. (2026). DHNB 2026 - Lost in Abundance (Book of Abstracts). Zenodo.. pp. 34-35, DHNB 2026: Lost in Abundance: Encounters with the Non-Canonical., Aarhus, Denmark, 09/03/2026. https://doi.org/10.5281/zenodo.18835192
Brix, LD, Madsen, TW, Geisler, A, Birkild, M, Collin, T, Thomsen, T, Lassen, KL, Gamst-Jensen, H, Mortensen, LG & Nielsen, AH 2026, 'Pre-Anaesthesia Assessments of Adults Undergoing Elective Surgery: A Scoping Review', Acta Anaesthesiologica Scandinavica, vol. 70, no. 2, e70177. https://doi.org/10.1111/aas.70177
Schierle, F, Bolmgren, JL, Deleuran, M, Welter, O & Gebauer, V 2026, 'Precision dermatology 2050: AI-driven personalized monitoring and individualized treatment', Journal of the European Academy of Dermatology and Venereology : JEADV, vol. 40, no. 3, pp. 431-439. https://doi.org/10.1111/jdv.70248
Wang, S, Khaipho-Burch, M, Johnson, LC, Miller, ZR, Bradbury, PJ, Speed, D, Allen, WJ, Romay, MC, Xue, J, Buckler, ES, Ramstein, GP & Song, B 2026, 'Predicted protein 3D structures provide essential insights into the genetic architecture underlying phenotypic diversity in maize', Genome Research, vol. 36, no. 1, pp. 214-225. https://doi.org/10.1101/gr.280514.125
Zubia-Aranburu, J, Gardin, A, Paffen, L, Tollemeto, M, Alberdi, A, Termenon, M, Grisoni, F & Patiño Padial, T 2026, 'Predicting DNA Origami Stability in Physiological Media by Machine Learning', Small Structures, vol. 7, no. 2, e202500784. https://doi.org/10.1002/sstr.202500784
Castro de la Guardia, L, Bartsch, I, Hop, H, Niedzwiedz, S, Düsedau, L, Diehl, N, Krause-Jensen, D, Sejr, M, Ager, TG, Gattuso, JP, Schlegel, RW, Miller, CA, Filbee-Dexter, K & Duarte, P 2026, 'Predicting potential Arctic kelp distribution and lower-depth biomass from seafloor irradiance', Limnology and Oceanography: Methods, vol. 24, no. 3, e70018. https://doi.org/10.1002/lom3.70018
Matthes, J, Reinhardt, A, Hodzic, S, Kaňková, J, Binder, A, Bojic, L, Maindal, HT, Paraschiv, C & Ryom, K 2026, 'Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study', Journal of Medical Internet Research, vol. 28, e75648. https://doi.org/10.2196/75648
Farooq, F, Roy, T, Ali, MH, Ridoy, MAR, Kashem, A, Rahman, L & Das, A 2026, 'Prediction of mechanical strengths of geopolymer concrete using optimized machine learning models with graphical user interface', Journal of Building Pathology and Rehabilitation, vol. 11, no. 1, 31. https://doi.org/10.1007/s41024-025-00704-7
Banaschewski, MT, Mathys, C, Winkler, I, Todd, J & Auksztulewicz, R 2026, 'Predictive Processing Over the Course of Aging: Multiple Timescales of Effective Connectivity', European Journal of Neuroscience, vol. 63, no. 1, e70387. https://doi.org/10.1111/ejn.70387