Data on master regulators and transcriptiption factor binding sites found by upstream analysis of multi-omics data on methotrexate resistance of colon cancer

Publication date: Available online 6 December 2016
Source:Data in Brief
Author(s): Alexander E. Kel
Computational analysis of master regulators through the search for transcription factor binding sites followed by analysis of signal transduction networks of cell is a new approach of causal analysis of multi-omics data.This article 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 were 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" [4].This data are of interest for the researchers from the field of multi-omics data analysis and for biologists who are interested in identification of novel drug targets against NTX resistance.



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