Method to Disassemble Spheroids into Core and Rim for Downstream Applications Such as Flow Cytometry, Comet Assay, Transcriptomics, Proteomics, and Lipidomics

Helle Sedighi Frandsen, Martina Štampar, Joel Mario Vej-Nielsen, Bojana Žegura, Adelina Rogowska-Wrzesinska*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterCommunication

Abstract

Cells cultured in a monolayer have been a central tool in molecular and cell biology, toxicology, biochemistry, and so on. Therefore, most methods for adherent cells in cell biology are tailored to this format of cell culturing. Limitations and disadvantages of monolayer cultures, however, have resulted in the ongoing development of advanced cell culturing techniques. One such technique is culturing cells as multicellular spheroids, that had been shown to mimic the physiological conditions found in vivo more accurately. This chapter presents a novel method for separation of the spheroid rim and core in mature spheroids (>21 days) for further analysis using advanced molecular biology techniques such as flow cytometry, viability estimations, comet assay, transcriptomics, proteomics and lipidomic. This fast and gentle disassembly of intact spheroids into rim and core fractions, and further into viable single-cell suspension provides an opportunity to bridge the gap from 3D cell culture to current state-of-the-art analysis methods.

Original languageEnglish
Title of host publicationNext Generation Culture Platforms for Reliable In Vitro Models : Methods and Protocols
EditorsTiziana A.L. Brevini, Alireza Fazeli, Kursad Turksen
PublisherHumana Press
Publication date2021
Pages173-188
ISBN (Print)978-1-0716-1245-3, Softcover ISBN 978-1-0716-1248-4
ISBN (Electronic) 978-1-0716-1246-0
DOIs
Publication statusPublished - 2021
SeriesMethods in Molecular Biology
Volume2273
ISSN1064-3745

Keywords

  • 3D cell culture
  • Comet assay
  • Flow cytometry
  • HepG2/C3A
  • Lipidomic
  • Proteomics
  • Rim and core
  • Spheroids
  • Transcriptomics

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