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Genome-wide Mapping of Protein-DNA Interactions with ChEC-seq in Saccharomyces cerevisiae
Published on: June 3, 2017
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A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
Jiachun Sun1, Junqiang Yan2, Xiaozhi Yuan1
1Department of Oncology, Cancer Institute, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, People's Republic of China.
Cellular & Molecular Biology Letters
|May 25, 2017
Summary
This study reveals a competing endogenous RNA (ceRNA) network involving long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs). This network significantly impacts cancer cell proliferation, apoptosis, and metastasis.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Long non-coding RNAs (lncRNAs) are crucial regulators of biological processes.
- lncRNAs can act as miRNA sponges, influencing gene expression post-transcriptionally.
Purpose of the Study:
- To construct and analyze a competing endogenous RNA (ceRNA) network.
- To compare ceRNA networks between SHEE and SHEEC cell lines.
- To identify key regulatory roles of lncRNAs, miRNAs, and mRNAs in cancer.
Main Methods:
- Integrated lncRNA, miRNA, and mRNA expression data from high-throughput sequencing and microarrays.
- Utilized bioinformatics algorithms (Targetscan, miRanda) and databases (miRTarbase).
- Performed biological function and pathway analyses.
Main Results:
- A ceRNA network was established involving 51 miRNAs, 2260 genes, and 82 lncRNAs.
- The network is implicated in cell proliferation, apoptosis, cell cycle, invasion, and metastasis.
- Key signaling pathways modulated include MAPK, Ras, HIF-1, Rap1, and PI3K/Akt.
Conclusions:
- The identified ceRNA network provides insights into cancer regulation.
- This network may offer novel therapeutic targets for cancer treatment.
- Further research can elucidate the complex regulatory mechanisms in cancer.
