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Titel: Laminar Flow Alters EV Composition in HUVECs: A Study of Culture Medium Optimization and Molecular Profiling of Vesicle Cargo
VerfasserIn: Kardani, Arefeh
Hemmer, Jan
Diesel, Britta
Mashayekhi, Vida
Schomisch, Annika
Koch, Marcus
Fecher-Trost, Claudia
Meyer, Markus R.
Ludwig, Nicole
Rishik, Shusruto
Keller, Andreas
Hoppstädter, Jessica
Fuhrmann, Gregor
Kiemer, Alexandra K.
Sprache: Englisch
Titel: Small Methods
Bandnummer: 9
Heft: 8
Verlag/Plattform: Wiley
Erscheinungsjahr: 2025
Freie Schlagwörter: endothelial cells
extracellular vesicles
microRNAs
network analysis
proteomics
shear stress
DDC-Sachgruppe: 500 Naturwissenschaften
610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Endothelial cells (ECs) experience shear stress associated with blood flow. Such shear stress regulates endothelial function by altering cell physiology. Since most cell culture protocols and media compositions are designed for static cultures and experiments with ECs are predominantly conducted under these non-physiological conditions, a model for culturing ECs under flow conditions is developed, which more closely mimics their physiological environment. This approach also enables the isolation of EVs while minimizing FCS-derived contaminants. In this study, a comprehensive assessment of how physiologically relevant cultivation conditions influence the vesicle composition and function of ECs is provided. A detailed investigation is conducted for the effect of different cell culture media on morphology and marker expression of human umbilical cord endothelial cells (HUVECs) and EVs, and optimize the conditions to culture ECs under flow, tailoring them specifically to facilitate the efficient isolation of EVs using a hollow-fiber system model. These EVs are then characterized and compared to those isolated from traditional static culture conditions. Overall, this study presents a model on isolating EC-derived EVs under conditions that closely mimic physiological environments, and characterization at their proteome, gene expression, and microRNA profile.
DOI der Erstveröffentlichung: 10.1002/smtd.202401841
URL der Erstveröffentlichung: https://doi.org/10.1002/smtd.202401841
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-462379
hdl:20.500.11880/40529
http://dx.doi.org/10.22028/D291-46237
ISSN: 2366-9608
Datum des Eintrags: 10-Sep-2025
Bezeichnung des in Beziehung stehenden Objekts: Supporting Information
In Beziehung stehendes Objekt: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fsmtd.202401841&file=smtd202401841-sup-0001-SuppMat.docx
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fsmtd.202401841&file=smtd202401841-sup-0002-TableS1.xlsx
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fsmtd.202401841&file=smtd202401841-sup-0003-TableS2.xlsx
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fsmtd.202401841&file=smtd202401841-sup-0004-TableS3.xlsx
Fakultät: M - Medizinische Fakultät
NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: M - Experimentelle und Klinische Pharmakologie und Toxikologie
M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
NT - Pharmazie
Professur: M - Prof. Dr. Veit Flockerzi
M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckart Meese
M - Prof. Dr. Markus Meyer
NT - Jun.-Prof. Dr. Gregor Fuhrmann
NT - Prof. Dr. Alexandra K. Kiemer
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons