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Published on: February 20, 2019
Characterization and Validation of ceRNA-Mediated Pathway-Pathway Crosstalk Networks Across Eight Major
Chao Song1, Jian Zhang2, Yongsheng Liu1
1Department of Pharmacology, Harbin Medical University-Daqing, Daqing, China.
Abstract:
Pathway analysis is considered as an important strategy to reveal the underlying mechanisms of diseases. Pathways that are involved in crosstalk can regulate each other and co-regulate downstream biological processes. Furthermore, some genes in the pathways can function with other genes via the relationship of the competing endogenous RNA (ceRNA) mechanism, which has also been demonstrated to play key roles in cellular biology. However, the comprehensive analysis of ceRNA-mediated pathway crosstalk is lacking. Here, we constructed the landscape of the ceRNA-mediated pathway-pathway crosstalk of eight major cardiovascular diseases (CVDs) based on sequencing data from ∼2,800 samples. Some common features shared by numerous CVDs were uncovered. A fraction of the pathway-pathway crosstalk was conserved in multiple CVDs and a core pathway-pathway crosstalk network was identified, suggesting the similarity of pathway-pathway crosstalk among CVDs. Experimental evidence also demonstrated that the pathway crosstalk was functioned in CVDs. We split all hub pathways of each pathway-pathway crosstalk network into three categories, namely, common hubs, differential hubs, and specific hubs, which could highlight the common or specific biological mechanisms. Importantly, after a comparison analysis of the hub pathways of networks, ∼480 hub pathway-induced common modules were identified to exert functions in CVDs broadly. Moreover, we performed a random walk algorithm on the hub pathway-induced sub-network and identified 23 potentially novel CVD-related pathways. In summary, our study revealed the potential molecular regulatory mechanisms of ceRNA crosstalk in pathway-pathway crosstalk levels and provided a novel routine to investigate the pathway-pathway crosstalk in cardiology. All CVD pathway-pathway crosstalks are provided in http://www.licpathway.net/cepathway/index.html.
Insights
This study maps competing endogenous RNA (ceRNA) mediated pathway crosstalk in cardiovascular diseases (CVDs), revealing conserved mechanisms and identifying novel disease-related pathways for better understanding disease biology.
Area of Science:
- Molecular Biology
- Systems Biology
- Genomics
Background:
- Pathway analysis is crucial for understanding disease mechanisms.
- Competing endogenous RNA (ceRNA) networks regulate gene expression and cellular processes.
- Comprehensive analysis of ceRNA-mediated pathway crosstalk in cardiovascular diseases (CVDs) is currently lacking.
Purpose of the Study:
- To construct and analyze the landscape of ceRNA-mediated pathway-pathway crosstalk across eight major CVDs.
- To identify common and specific molecular mechanisms underlying CVDs.
- To discover novel CVD-related pathways and regulatory networks.
Main Methods:
- Utilized sequencing data from approximately 2,800 samples for eight major CVDs.
- Constructed ceRNA-mediated pathway-pathway crosstalk networks.
- Applied network analysis, including identifying hub pathways and common modules.
- Employed a random walk algorithm to identify novel pathways.
Main Results:
- Uncovered common features and conserved pathway-pathway crosstalk across multiple CVDs.
- Identified a core pathway-pathway crosstalk network, indicating shared mechanisms among CVDs.
- Discovered approximately 480 hub pathway-induced common modules functioning broadly in CVDs.
- Identified 23 potentially novel CVD-related pathways through network analysis.
Conclusions:
- The study reveals molecular regulatory mechanisms of ceRNA crosstalk at the pathway-pathway level in CVDs.
- A novel framework for investigating pathway-pathway crosstalk in cardiology has been established.
- The findings provide insights into the shared and specific biological mechanisms of CVDs.
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