Modulation Of Glioblastoma Cell Behavior By Monocyte-Derived Macrophages And Frequency-Dependent Attraction On A Microfluidıc Chip

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Kantarcı, Hanife (2025) Modulation Of Glioblastoma Cell Behavior By Monocyte-Derived Macrophages And Frequency-Dependent Attraction On A Microfluidıc Chip. [Thesis]

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Abstract

Glioblastoma Multiforme (GBM) is a highly aggressive and heterogeneous primarybrain tumor, marked by rapid proliferation, therapeutic resistance, and complexinteractions within the tumor microenvironment (TME). Among the key modulatorsof the TME are tumor-associated macrophages (TAMs), which play a pivotalrole in shaping glioma behavior and influencing treatment outcomes. This thesisinvestigates the impact of monocyte-derived macrophage phenotypes (M0, M1, andM2) on glioma cell proliferation and migration. THP-1 cells were differentiatedinto macrophage subtypes via cytokine-driven protocols. Functional assays revealedthat M1 macrophages enhanced glioma proliferation while attenuating migratorycapacity, whereas M2 macrophages initially suppressed proliferation, followed by increasedgrowth and significantly enhanced wound closure, suggesting a dual-phasemodulatory effect.To enable precise, label-free cellular analysis, a microfluidic platform incorporatingdielectrophoresis (DEP) was developed. Computational simulations validated optimalelectric field distributions for effective DEP-based manipulation of glioma cells.The DEP buffer was shown to preserve glioma cell viability, supporting its potentialuse in non-destructive diagnostics. Additionally, impedance spectroscopy confirmedthe system’s sensitivity to cellular heterogeneity across different glioma lines. Deviceperformance was validated using U-87 glioma cells, demonstrating reliable cell behavior tracking and morphological assessment.Overall, the study underscores the regulatory role of macrophage subtypes in GBMprogression and highlights the promise of DEP-integrated microfluidics for advancedglioma diagnostics and future therapeutic applications.
Item Type: Thesis
Uncontrolled Keywords: Genetically Encoded Fluorescent Proteins, Molecular DynamicsSimulations, Biosensor mechanism. -- Genetik Kodlanmış Floresan Biyosensörler, Moleküler DinamikSimülasyonları, Sensör Mekanizması.
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Dila Günay
Date Deposited: 26 Dec 2025 12:57
Last Modified: 26 Dec 2025 12:57
URI: https://research.sabanciuniv.edu/id/eprint/53538

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