Prediction of interaction network of altered proteins, kinases and transcription factors, miRNAs, lncRNA in breast cancer disease

The most common cancer type, is female breast cancer with more than ۲.۳ million cases diagnosed and ۶۸۵,۰۰۰ deaths in ۲۰۲۰. Eukaryotic gene expression is regulated at the epigenetic, transcriptional, and post-transcriptional levels by coordinated multi-layer mechanisms . Create multi-layered networks consisting of di↵erent biological levels is one of the appropriate methods to increase the depth of our knowledge regarding this type of diseases. In the present study, in order to identify the regulatory layers including the transcription factors and the transcription factors regulated kinase, the ChEA۲۰۱۶, and KEA۲۰۱۵ header of the EnrichR database was used respectively as well as IncHub and TargetScan headers were used to detected lncRNAs and miRNAs regulator of all three gene layers. Based on the three topological parameters such as closeness, degree and between ۱۰ driving elements of each layer were selected. Analysis related to message transmission pathways and gene ontology was performed using MetaScape and Cytoscape. To determine the DEPs biological functions, gene ontology enrichment analysis was conducted at the following levels: biological process (BP), molecular function (MF) and cellular component (CC). The message transmission pathways and gene ontology related to all ۳ layers of kinases, transcription factors and altered proteins were identified in breast cancer. Multilayer network analysis, drawing, and central element identification revealed that hsa-miR-۱۶-۵p, hsa-miR-۹۲a-۳p, hsa-miR-۶۱۵-۳p, and lncRNAs IGBP۱-AS۲, TMED۲-DT were involved in breast cancer progression. In the findings of biological processes in gene ontology and molecular functions, changes in similar pathways such as mRNA binding, Cadherin binding, and other regulatory pathways such as inhibitory enzyme activity and oxidoreductase activity were shown. The pathways identified in the sub- section also detected changes in the regulation of the cellular matrix and cellular junctions.

کلیدواژه ها:

proteomics ، breast cancer ، lncRNAs ، Bioinformatics