A 3D Biomimetic System for Testing Anticancer Drug Sensitivity.
2022
Autori:
Dragoj, MiodragStojkovska, Jasmina
Jovanović Stojanov, Sofija
Obradović, Bojana
Pešić, Milica
Baiocchi, Marta
Tip dokumenta:
Poglavlje u monografiji (Objavljena verzija)
,
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
Metapodaci
Prikaz svih podataka o dokumentuApstrakt:
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.
Ključne reči:
3D culture; Alginate microfibers; Bioreactor; Drug discovery; Multidrug resistanceIzvor:
Cancer Drug Resistance: Methods and Protocols, 2022, 2535, 1-9Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200007 (Univerzitet u Beogradu, Institut za biološka istraživanja 'Siniša Stanković') (RS-MESTD-inst-2020-200007)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200135 (Univerzitet u Beogradu, Tehnološko-metalurški fakultet) (RS-MESTD-inst-2020-200135)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200287 (Inovacioni centar Tehnološko-metalurškog fakulteta u Beogradu doo) (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