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EVmiRNA: a database of miRNA profiling in extracellular vesicles
Teng Liu1,2, Qiong Zhang1, Jiankun Zhang1
1Department of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Nucleic Acids Research
|October 19, 2018
Summary
The EVmiRNA database offers comprehensive miRNA expression profiles from extracellular vesicles (EVs), aiding disease biomarker discovery and functional analysis. It identifies specific microRNAs (miRNAs) in various EVs for potential diagnostic applications.
Area of Science:
- Biochemistry
- Molecular Biology
- Bioinformatics
Background:
- Extracellular vesicles (EVs) are crucial for intercellular communication and serve as potential disease biomarkers.
- MicroRNAs (miRNAs) are key molecules within EVs, making their expression profiling vital for understanding EV function and identifying biomarkers.
Purpose of the Study:
- To construct a comprehensive database of miRNA expression profiles in EVs.
- To facilitate the identification of specific EV-derived miRNAs for disease biomarker applications.
- To provide a resource for exploring miRNA functions and their roles in various biological contexts.
Main Methods:
- Curated 462 small RNA sequencing samples from 17 different EV sources/diseases.
- Developed the EVmiRNA database (http://bioinfo.life.hust.edu.cn/EVmiRNA) to host and present miRNA expression data.
- Integrated functional modules for browsing expression profiles, identifying specific miRNAs, and accessing miRNA annotations.
Main Results:
- Identified over 1000 miRNAs expressed in EVs.
- Detected source/disease-specific miRNAs, highlighting their potential as biomarkers.
- The EVmiRNA database includes expression data, TCGA cancer type correlations, pathway regulations, and functional annotations.
Conclusions:
- The EVmiRNA database is the first resource dedicated to miRNA expression profiles in EVs.
- This database serves as a valuable tool for researchers in EV biomarker discovery, miRNA function studies, and liquid biopsy applications.
- The identified specific miRNAs offer promising avenues for developing novel diagnostic and prognostic tools.
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