A 3D Biomimetic System for Testing Anticancer Drug Sensitivity.
2022
Authors:
Dragoj, MiodragStojkovska, Jasmina
Jovanović Stojanov, Sofija
Obradović, Bojana
Pešić, Milica
Baiocchi, Marta
Document Type:
Book part (Published version)
,
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
Metadata
Show full item recordAbstract:
3D cultures of cancer cells enable better mimicking of physiological conditions compared to traditional monolayer 2D cultures. Here we describe alginate scaffold-based model that can be used in both static and biomimetic conditions for studying drug sensitivity in cancer cells and multidrug resistance (MDR) mechanisms. This 3D culture model resembles in vivo conditions and provides relevant and reproducible results. It is easy to set up and allows for facile manipulation for downstream analyses. All these remarkable features make this 3D culture model a promising tool in drug discovery and cancer cell biology research.
Keywords:
3D culture; Alginate microfibers; Bioreactor; Drug discovery; Multidrug resistanceSource:
Cancer Drug Resistance: Methods and Protocols, 2022, 2535, 1-9Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200007 (University of Belgrade, Institute for Biological Research 'Siniša Stanković') (RS-MESTD-inst-2020-200007)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200135 (University of Belgrade, Faculty of Technology and Metallurgy) (RS-MESTD-inst-2020-200135)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200287 (Innovation Center of the Faculty of Technology and Metallurgy) (RS-MESTD-inst-2020-200287)
- Donnell Foundation 21st Century Science Initiative in Mathematical and Complex Systems Approaches for Brain Cancer (220020560)
- European Commission (grant 952033)
DOI: 10.1007/978-1-0716-2513-2_1
ISBN: 978-1-0716-2512-5
ISSN: 1064-3745
PubMed: 35867218
Scopus: 2-s2.0-85135073021
URI
https://link.springer.com/10.1007/978-1-0716-2513-2_1http://radar.ibiss.bg.ac.rs/handle/123456789/5093