NDLI: MicroRNA and transcription factor mediated regulatory network for ovarian cancer : Regulatory network of ovarian cancer

Content Provider	Springer Nature Link
Author	Ying, Huanchun Lv, Jing Ying, Tianshu Li, Jun Yang, Qing Ma, Yuan
Copyright Year	2013
Abstract	A better understanding on the regulatory interactions of microRNA (miRNA) target genes and transcription factor (TF) target genes in ovarian cancer may be conducive for developing early diagnosis strategy. Thus, gene expression data and miRNA expression data were downloaded from The Cancer Genome Atlas in this study. Differentially expressed genes and miRNAs were selected out with t test, and Gene Ontology enrichment analysis was performed with DAVID tools. Regulatory interactions were retrieved from miRTarBase, TRED, and TRANSFAC, and then networks for miRNA target genes and TF target genes were constructed to globally present the mechanisms. As a result, a total of 1,939 differentially expressed genes were identified, and they were enriched in 28 functions, among which cell cycle was affected to the most degree. Besides, 213 differentially expressed miRNAs were identified. Two regulatory networks for miRNA target genes and TF target genes were established and then both were combined, in which E2F transcription factor 1, cyclin-dependent kinase inhibitor 1A, cyclin E1, and miR-16 were the hub genes. These genes may be potential biomarkers for ovarian cancer.
Starting Page	3219
Ending Page	3225
Page Count	7
File Format	PDF
ISSN	10104283
Journal	Tumor Biology
Volume Number	34
Issue Number	5
e-ISSN	14230380
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-08-29
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Ovarian cancer Differentially expressed genes MicroRNA Transcription factor Target genes Interaction network Cancer Research
Content Type	Text
Resource Type	Article
Subject	Medicine Cancer Research

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