Kel AlexanderE
Institute of Chemical Biology and Fundamental Medicine, SBRAS, Novosibirsk, Russia; Biosoft.ru, Ltd., Novosibirsk, Russia; GeneXplain GmbH, D-38302 Wolfenbüttel, Germany.
Data Brief. 2016 Dec 6;10:499-504. doi: 10.1016/j.dib.2016.11.096. eCollection 2017 Feb.
Computational analysis of master regulators through the search for transcription factor binding sites followed by analysis of signal transduction networks of a cell is a new approach of causal analysis of multi-omics data. This paper contains results on analysis of multi-omics data that include transcriptomics, proteomics and epigenomics data of methotrexate (MTX) resistant colon cancer cell line. The data were used for analysis of mechanisms of resistance and for prediction of potential drug targets and promising compounds for reverting the MTX resistance of these cancer cells. We present all results of the analysis including the lists of identified transcription factors and their binding sites in genome and the list of predicted master regulators - potential drug targets. This data was generated in the study recently published in the article "Multi-omics "Upstream Analysis" of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer" (Kel et al., 2016) [4]. These data are of interest for researchers from the field of multi-omics data analysis and for biologists who are interested in identification of novel drug targets against NTX resistance.
通过搜索转录因子结合位点，随后分析细胞的信号转导网络来对主调控因子进行计算分析，是一种对多组学数据进行因果分析的新方法。本文包含了对多组学数据的分析结果，这些数据包括甲氨蝶呤（MTX）耐药结肠癌细胞系的转录组学、蛋白质组学和表观基因组学数据。这些数据被用于分析耐药机制，以及预测潜在的药物靶点和用于逆转这些癌细胞MTX耐药性的有前景的化合物。我们展示了分析的所有结果，包括已识别的转录因子及其在基因组中的结合位点列表，以及预测的主调控因子——潜在药物靶点列表。这些数据是在最近发表于《“调控基因组区域的多组学‘上游分析’有助于识别抗结肠癌甲氨蝶呤耐药的靶点”》（凯尔等人，2016年）[4]一文中的研究中生成的。这些数据对于多组学数据分析领域的研究人员以及对识别针对NTX耐药的新型药物靶点感兴趣的生物学家来说具有重要意义。
