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Modelling the Central Carbon Metabolism of three Cancer Cells using 13C Data

机译:使用 13 C数据来模拟三种癌细胞的中央碳代谢。

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Ten percent of all colon cancer cases have an activating KRAS mutation. Cases with this kind of mutation do not respond to the usual drug treatment. KRAS mutated colon cancer cells have an accumulation of lactate, which is a potential option as a treatment target. We build a kinetic model to compare the KRAS cell line with two other common colon cancer cell lines to investigate the reason for the accumulation of lactate. The purpose of the model is to see if the differences of their central carbon metabolism are based only on enzyme concentrations or otherwise find potential modifications in enzymes.To achieve this goal we use flux data, metabolomics data,13C metabolomics data, and proteomics data. The model tracks carbon groups in glycolysis. We use the L1 regularization to find the differences in parameters for the cell lines.
机译:百分之十的结肠癌病例具有激活的KRAS突变。这种突变的病例没有响应通常的药物治疗。 KRAS突变结肠癌细胞具有乳酸的积累,这是作为治疗靶标的潜在选择。我们建立一种动力学模型,可以将KRAS细胞系与另外两种常见的结肠癌细胞系进行比较,以研究乳酸积累的原因。该模型的目的是看其中央碳代谢的差异仅基于酶浓度或以其他方式发现酶的潜在修饰。要达到这一目标,我们使用助焊剂数据,代谢组数据,13C代谢组数据和蛋白质组学数据。该模型跟踪糖酵解中的碳基团。我们使用L1正常化来找到小区线的参数的差异。

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