Network Analysis Of Micrornas Genes And Their Regulation In Ewing'S Sarcoma

3RD AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS (CIB 2015)(2015)

Cited 0|Views5
No score
Abstract
Experimentally validated data of the genes, microRNAs (miRNAs) and transcription factors (TFs) that affect EWS can be found in many literatures and databases. However, majority of them are in scattered form. The systematic regulatory mechanism has yet to be revealed. We constructed three regulatory networks hierarchically, including differentially expressed network, related network and global network. The differentially expressed network can be used as a faulty map of EWS. If the errors can be corrected, the cancer may be prevented and even cured in theory. Next, we compared their similarities and differences, a number of significant pathways, some self-adaptation associations and circle-regulations were highlighted. The differentially expressed network illuminated the pathogenesis of EWS. In addition, the related network further delineates the regulatory mechanism related with EWS. This paper systematically presented the regulatory mechanism of EWS and supplied gene therapy researchers with theoretical basis to concentrate on crucial genes and miRNAs.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined