Snorkel-tag based affinity chromatography for recombinant extracellular vesicle purification

Madhusudhan Reddy Bobbili, André Görgens, Yan Yan, Stefan Vogt, Dhanu Gupta, Giulia Corso, Samir Barbaria, Carolina Patrioli, Sylvia Weilner, Marianne Pultar, Jaroslaw Jacak, Matthias Hackl, Markus Schosserer, Regina Grillari, Jørgen Kjems, Samir E.L. Andaloussi, Johannes Grillari

Research output: Contribution to journalArticlepeer-review

Abstract

Extracellular vesicles (EVs) are lipid nanoparticles and play an important role in cell-cell communications, making them potential therapeutic agents and allowing to engineer for targeted drug delivery. The expanding applications of EVs in next generation medicine is still limited by existing tools for scaling standardized EV production, single EV tracing and analytics, and thus provide only a snapshot of tissue-specific EV cargo information. Here, we present the Snorkel-tag, for which we have genetically fused the EV surface marker protein CD81, to a series of tags with an additional transmembrane domain to be displayed on the EV surface, resembling a snorkel. This system enables the affinity purification of EVs from complex matrices in a non-destructive form while maintaining EV characteristics in terms of surface protein profiles, associated miRNA patterns and uptake into a model cell line. Therefore, we consider the Snorkel-tag to be a widely applicable tool in EV research, allowing for efficient preparation of EV standards and reference materials, or dissecting EVs with different surface markers when fusing to other tetraspanins in vitro or in vivo.

Original languageEnglish
Article numbere12523
Pages (from-to)e12523
JournalJournal of Extracellular Vesicles
Volume13
Issue number10
DOIs
Publication statusPublished - Oct 2024

Keywords

  • affinity chromatography
  • CD81
  • extracellular vesicles
  • snorkel-tag
  • StEVAC
  • tetraspanins
  • Humans
  • MicroRNAs
  • HEK293 Cells
  • Chromatography, Affinity/methods
  • Extracellular Vesicles/metabolism
  • Tetraspanin 28/metabolism

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