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Identification of Deregulated Transcription Factors Involved in Specific Bladder Cancer Subtypes

机译：鉴定涉及特定膀胱癌亚型的令人讨厌的转录因子

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Comparison between tumoral and healthy cells may reveal abnormal regulation behaviors between a transcription factor and the genes it regulates, without exhibiting differential expression of the former genes. We propose a methodology for the identification of transcription factors involved in the deregulation of genes in tumoral cells. This strategy is based on the inference of a reference gene regulatory network that connects transcription factors to their downstream targets using gene expression data. Gene expression levels in tumor samples are then carefully compared to this reference network to detect deregulated target genes. A linear model is finally used to measure the ability of each transcription factor to explain these deregulations. We assess the performance of our method by numerical experiments on a public bladder cancer data set derived from the Cancer Genome Atlas project. We identify genes known for their implication in the development of specific bladder cancer subtypes as well as new potential biomarkers.
机译：肿瘤和健康细胞之间的比较可以揭示转录因子和调节基因之间的异常调节行为，而不表现出前基因的差异表达。我们提出了一种方法，用于鉴定肿瘤细胞中基因的放松沉积物中涉及的转录因子。该策略基于参考基因调节网络的推论，该网络使用基因表达数据将转录因子连接到其下游靶标。然后将肿瘤样品中的基因表达水平与该参考网络进行仔细地进行比较以检测Derocation靶基因。最终用于测量每种转录因素来解释这些放入管制的能力的线性模型。我们评估我们的方法对来自癌症基因组Atlas项目的公共膀胱癌数据集的数值实验。我们鉴定其在特定膀胱癌亚型的发育中暗示的基因以及新的潜在生物标志物。

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