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Optimizacija priprave in spremljanja rasti sferoidov mišje osteosarkomske celične linije K7M2
ID Bačnik, Zala (Author), ID Čemažar, Maja (Mentor) More about this mentor... This link opens in a new window, ID Lampreht Tratar, Urša (Comentor)

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Abstract
Namen magistrske naloge je bil optimizirati pripravo in gojenje sferoidov mišje osteosarkomske celične linije K7M2 glede na začetno število celic in trajanje gojenja ter ovrednotiti uporabnost metabolnih testov PrestoBlue™ in ATPlite 3D za spremljanje rasti in celične vitalnosti. Sferoidi predstavljajo tridimenzionalni tumorski model, ki posnema prostorsko organizacijo čvrstih tumorjev, vključno z nastankom proliferativne in nekrotične cone. Sferoide smo oblikovali z različno začetno gostoto celic (1000, 2000, 3000, 4000 in 10.000) ter jih gojili en ali dva tedna. Na preparatih sferoidov smo določili velikost nekrotične in proliferativne cone. Rezultati so potrdili značilno organizacijo con sferoidov ter pokazali, da večje začetno število celic in daljši čas gojenja vodita do večjih sferoidov in izrazitejšega razvoja nekrotične cone. Na podlagi teh rezultatov smo za nadaljnje analize izbrali sferoide z zmerno velikostjo nekrotične cone in na njih izvedli metabolne teste ter izračunali njihov volumen. Analiza metabolne aktivnosti je pokazala, da PrestoBlue™ test zazna trend naraščanja signala z rastjo sferoidov, vendar brez statistično značilne korelacije z volumnom. Test ATPlite 3D se v uporabljenih pogojih ni izkazal za zanesljivega, saj ni zagotavljal ponovljivih rezultatov. Ugotovili smo, da metabolna aktivnost ni linearno povezana z velikostjo sferoida, kar verjetno odraža difuzijske omejitve in presnovno heterogenost. Kombinacija morfoloških in metabolnih analiz tako omogoča celovitejše razumevanje stanja sferoidov ter predstavlja ustrezno osnovo za nadaljnje preučevanje terapevtskih pristopov, kot je elektrokemoterapija.

Language:Slovenian
Keywords:optimizacija, K7M2, 3D modeli, tumorski sferoidi
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:BF - Biotechnical Faculty
Publisher:[Z. Bačnik]
Year:2026
PID:20.500.12556/RUL-179213 This link opens in a new window
UDC:576.5:616.71-006.34(043.2)
COBISS.SI-ID:267706115 This link opens in a new window
Publication date in RUL:08.02.2026
Views:73
Downloads:12
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Secondary language

Language:English
Title:Optimization of spheroid formation and growth monitoring of the K7M2 mouse osteosarcoma cell line
Abstract:
The aim of this master’s thesis was to optimize the formation and cultivation of mouse osteosarcoma K7M2 spheroids with respect to initial cell number and culture duration, and to evaluate the applicability of the PrestoBlue™ and ATPlite 3D metabolic assays for monitoring spheroid growth and cellular viability. Spheroids represent a three-dimensional tumor model that mimics the spatial organization of solid tumours, including the formation of proliferative and necrotic zone. Spheroids were generated using different initial cell densities (1000, 2000, 3000, 4000 and 10,000 cells) and cultured for one or two weeks. Histological preparations were used to determine the size of the necrotic and proliferative zones. The results confirmed the characteristic spatial organization of spheroids and showed that higher initial cell numbers and longer culture durations produced larger spheroids with more pronounced necrotic regions. Based on these findings, spheroids with moderately sized necrotic zones were selected for further analyses, in which metabolic assays were performed and spheroid volume was calculated. Metabolic activity assessment showed that the PrestoBlue™ assay detected an increasing trend in signal intensity with spheroid growth, although no statistically significant correlation with volume was observed. The ATPlite 3D assay did not prove reliable under the tested experimental conditions, as it did not yield reproducible results. We found that metabolic activity is not linearly associated with spheroid size, likely reflecting diffusion limitations and metabolic heterogeneity. The combined use of morphological and metabolic analyses therefore enables a more comprehensive understanding of spheroid status and provides a relevant foundation for further investigation of therapeutic approaches, such as electrochemotherapy.

Keywords:optimization, K7M2, 3D models, tumor spheroids

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