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Book of Abstracts - Ruhr-Universität Bochum

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P-06<br />

ISBOMC `10 5.7 – 9.7. 2010 <strong>Ruhr</strong>-<strong>Universität</strong> <strong>Bochum</strong><br />

Response Pr<strong>of</strong>ile <strong>of</strong> Cancer Cells to Cisplatin Treatment<br />

Hamed Alborzinia, a Pavlo Holenya a and Stefan Wölfl *a<br />

a Ruprecht-Karls-<strong>Universität</strong> Heidelberg, Institute <strong>of</strong> Pharmacy and Molecular Biotechnology,<br />

Im Neuenheimer Feld 364, D-69120 Heidelberg, Germany<br />

E-mail: hamed.alborzinia@uni-heidelberg.de, wolfl@uni-hd.de<br />

The cell based sensor chip system BIONAS® 2500 <strong>of</strong>fers the ability to measure three important<br />

parameters <strong>of</strong> cellular metabolism on line in living cell cultures: (i) glycolytic flux measured as pH<br />

change; (ii) cellular respiration (mitochondrial activity) measured as oxygen consumption; and (iii)<br />

cellular morphology, adhesion and membrane function measured as cellular impedance. These<br />

parameters are analyzed with metabolic sensor chips (SC1000) that feature the following analytical<br />

tools: (i) ion-sensitive field effect transistors (ISFETs) to record pH changes; (ii) oxygen electrodes to<br />

monitor oxygen consumption; and (iii) interdigitated electrode structures (IDES) to measure<br />

impedance under the cell layer. Cells are grown on the chip surface and all parameters are measured<br />

continuously with the electrodes on the chip surface. To work under stable conditions the medium is<br />

exchanged in short cycles with an automated fluidic system.<br />

We use this system to measure changes in cellular metabolism and morphology in response to<br />

treatment with cisplatin in different cell lines on line. Cisplatin treatment shows a well defined onset<br />

<strong>of</strong> change in acidification and impedance at about 7h and 10h respectively after treatment is started. At<br />

these time points we collected cells for further analysis <strong>of</strong> specific signalling pathways and gene<br />

expression. Protein phosphorylation <strong>of</strong> growth related signalling pathways was analyzed with a<br />

phosphoprotein ELISA micro array. Gene expression was analyzed using whole genome Affymetrix<br />

Gene Expression micro arrays.<br />

This work was in part supported by the BMBF (FKZ 01 EA 0509: “Nutrition.Net”) and the DFG<br />

Forschergruppe FOR630.<br />

64

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