@article{VollandKauppSchmitzetal.2022, author = {Volland, Julian Manuel and Kaupp, Johannes and Schmitz, Werner and W{\"u}nsch, Anna Chiara and Balint, Julia and M{\"o}llmann, Marc and El-Mesery, Mohamed and Frackmann, Kyra and Peter, Leslie and Hartmann, Stefan and K{\"u}bler, Alexander Christian and Seher, Axel}, title = {Mass spectrometric metabolic fingerprinting of 2-Deoxy-D-Glucose (2-DG)-induced inhibition of glycolysis and comparative analysis of methionine restriction versus glucose restriction under perfusion culture in the murine L929 model system}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {16}, issn = {1422-0067}, doi = {10.3390/ijms23169220}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-286007}, year = {2022}, abstract = {All forms of restriction, from caloric to amino acid to glucose restriction, have been established in recent years as therapeutic options for various diseases, including cancer. However, usually there is no direct comparison between the different restriction forms. Additionally, many cell culture experiments take place under static conditions. In this work, we used a closed perfusion culture in murine L929 cells over a period of 7 days to compare methionine restriction (MetR) and glucose restriction (LowCarb) in the same system and analysed the metabolome by liquid chromatography mass spectrometry (LC-MS). In addition, we analysed the inhibition of glycolysis by 2-deoxy-D-glucose (2-DG) over a period of 72 h. 2-DG induced very fast a low-energy situation by a reduced glycolysis metabolite flow rate resulting in pyruvate, lactate, and ATP depletion. Under perfusion culture, both MetR and LowCarb were established on the metabolic level. Interestingly, over the period of 7 days, the metabolome of MetR and LowCarb showed more similarities than differences. This leads to the conclusion that the conditioned medium, in addition to the different restriction forms, substantially reprogramm the cells on the metabolic level.}, language = {en} } @article{DongBoeppleThieletal.2023, author = {Dong, Meng and B{\"o}pple, Kathrin and Thiel, Julia and Winkler, Bernd and Liang, Chunguang and Schueler, Julia and Davies, Emma J. and Barry, Simon T. and Metsalu, Tauno and M{\"u}rdter, Thomas E. and Sauer, Georg and Ott, German and Schwab, Matthias and Aulitzky, Walter E.}, title = {Perfusion air culture of precision-cut tumor slices: an ex vivo system to evaluate individual drug response under controlled culture conditions}, series = {Cells}, volume = {12}, journal = {Cells}, number = {5}, issn = {2073-4409}, doi = {10.3390/cells12050807}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311030}, year = {2023}, abstract = {Precision-cut tumor slices (PCTS) maintain tissue heterogeneity concerning different cell types and preserve the tumor microenvironment (TME). Typically, PCTS are cultured statically on a filter support at an air-liquid interface, which gives rise to intra-slice gradients during culture. To overcome this problem, we developed a perfusion air culture (PAC) system that can provide a continuous and controlled oxygen medium, and drug supply. This makes it an adaptable ex vivo system for evaluating drug responses in a tissue-specific microenvironment. PCTS from mouse xenografts (MCF-7, H1437) and primary human ovarian tumors (primary OV) cultured in the PAC system maintained the morphology, proliferation, and TME for more than 7 days, and no intra-slice gradients were observed. Cultured PCTS were analyzed for DNA damage, apoptosis, and transcriptional biomarkers for the cellular stress response. For the primary OV slices, cisplatin treatment induced a diverse increase in the cleavage of caspase-3 and PD-L1 expression, indicating a heterogeneous response to drug treatment between patients. Immune cells were preserved throughout the culturing period, indicating that immune therapy can be analyzed. The novel PAC system is suitable for assessing individual drug responses and can thus be used as a preclinical model to predict in vivo therapy responses.}, language = {en} }