4.7 Article

A quick pipeline for the isolation of 3D cell culture-derived extracellular vesicles

期刊

JOURNAL OF EXTRACELLULAR VESICLES
卷 11, 期 10, 页码 -

出版社

WILEY
DOI: 10.1002/jev2.12273

关键词

3D cell culture; cancer spheroids; extracellular vesicles; isolation; nanofibrillar cellulose

资金

  1. Business Finland
  2. Magnus Ehrnroothin Saatio
  3. Jane ja Aatos Erkon Saatio
  4. Mizutani Foundation for Glycoscience
  5. Academy of Finland [330486, 337120, 337641]
  6. Academy of Finland (AKA) [337120, 337641, 330486, 330486] Funding Source: Academy of Finland (AKA)

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This research developed two methods using nanofibrillar cellulose as a 3D cell culture matrix to isolate extracellular vesicles from cancer spheroids. Both methods were easy to set up, quick to perform, and provided high yields of extracellular vesicles.
Recent advances in cell biology research regarding extracellular vesicles have highlighted an increasing demand to obtain 3D cell culture-derived EVs, because they are considered to more accurately represent EVs obtained in vivo. However, there is still a grave need for efficient and tunable methodologies to isolate EVs from 3D cell cultures. Using nanofibrillar cellulose (NFC) scaffold as a 3D cell culture matrix, we developed a pipeline of two different approaches for EV isolation from cancer spheroids. A batch method was created for delivering high EV yield at the end of the culture period, and a harvesting method was created to enable time-dependent collection of EVs to combine EV profiling with spheroid development. Both these methods were easy to set up, quick to perform, and they provided a high EV yield. When compared to scaffold-free 3D spheroid cultures on ultra-low affinity plates, the NFC method resulted in similar EV production/cell, but the NFC method was scalable and easier to perform resulting in high EV yields. In summary, we introduce here an NFC-based, innovative pipeline for acquiring EVs from 3D cancer spheroids, which can be tailored to support the needs of variable EV research objectives.

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