This paper introduces the first results of dielec-7 tric spectroscopy characterization of glioblastoma cells, measur-8 ing their crossover frequencies in the ultra-high-frequency range 9 (above 50 MHz) by dielectrophoresis (DEP) techniques. Exper-10 iments were performed on two glioblastoma lines U87-MG and 11 LN18 that were cultured following different conditions, in order 12 to achieve different phenotypic profiles. We demonstrate here that 13 the presented DEP electrokinetic method can be used to discrim-14 inate the undifferentiated from the differentiated cells. In this 15 study, microfluidic lab-on-chip systems implemented on bipolar-16 complementary oxide semiconductor technology are used allowing 17 single cell handling and analysis. Based on the characterizations 18 of their own intracellular features, both the selected glioblastoma 19 (GBM) cell lines cultured in distinct culture conditions have shown 20 clear differences of DEP crossover frequency signatures compared 21 to the differentiated cells cultured in a normal medium. These re-22 sults support the concept and validate the efficiency for cell char-23 acterization in glioblastoma pathology. 24 Index Terms-BiCMOS chip, biological cell manipulation, 25 glioblastoma cells, high frequency dielectrophoresis. 26 I. INTRODUCTION 27 G LIOBLASTOMA (GBM) is one of the most frequent and 28 the most aggressive tumors of the central nervous system.

Glioblastoma is currently described as the worst brain tumor because of its aggressiveness and poor prognosis. Chemotherapy and irradiation are not curative, and the average survival for patients with glioblastoma is around 15 months. The cellular heterogeneity and infiltrative capability of glioblastoma make complete surgical resection almost impossible. Moreover, the presence of cancer stem-like cells in this tumor leads to therapeutic resistance and tumor recurrence after surgery. Numerous studies have explored the physiology of these cancer stem cells, and attempts have been made to develop devices aimed at isolating this rare population of cells. This chapter describes the complexity of cancer stem cells in glioblastoma. Their role in autophagy, gene regulation by epigenetic modifications, and the challenges in isolating these cells are addressed. This knowledge may pave the way for a better understanding of cancer stem cells in glioblastoma, and the potential development of new therapeutic strategies for this deadly disease.

Therapeutic resistance and infiltrative capacities justify the aggressiveness of glioblastoma. This is due to cellular heterogeneity, especially the presence of stemness-related cells, i.e. Cancer Stem Cells (CSC). Previous studies focused on autophagy and its role in CSCs maintenance; these studies gave conflicting results as they reported either sustaining or disruptive effects. In the present work, we silenced two autophagy related genes -either Beclin1 or ATG5- by shRNA and we explored the ensuing consequences on CSCs markers’ expression and functionalities. Our results showed that the down regulation of autophagy led to enhancement in expression of CSCs markers, while proliferation and clonogenicity were boosted. Temozolomide (TMZ) treatment failed to induce apoptotic death in shBeclin1-transfected cells, contrary to control. We optimized the cellular subset analysis with the use of Sedimentation Field Flow Fractionation, a biological event monitoring- and cell sorting-dedicated technique. Fractograms of both shBeclin1 and shATG5 cells exhibited a shift of elution peak as compared with control cells, showing cellular dispersion and intrinsic sub-fraction modifications. The classical stemness fraction (i.e. F3) highlighted data obtained with the overall cellular population, exhibiting enhancement of stemness markers and escape from dormancy. Our results contributed to illustrate CSCs polydispersity and to show how these cells develop capacity to bypass autophagy inhibition, thanks to their acute adaptability and plasticity.

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