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Published on: March 19, 2012
exoRBase 3.0: an updated resource for extracellular RNAs from human biofluids
Wenqian Yu1,2, Jia Hu1,2, Peng Lin1,2
1Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
The updated exoRBase 3.0 database now compares extracellular long RNAs (exLRs) from extracellular vesicles and particles (EVPs) and cell-free fractions. This resource aids in discovering novel RNA biomarkers for improved noninvasive disease diagnosis and monitoring.
Area of Science:
- Biochemistry
- Genomics
- Bioinformatics
Background:
- Extracellular RNAs (exRNAs) in biofluids are key noninvasive biomarkers for disease detection.
- Understanding the distinct origins of exRNAs (e.g., vesicle-bound vs. cell-free) is crucial for optimizing liquid biopsy.
- Existing databases lack comprehensive comparative analysis of different extracellular RNA fractions.
Purpose of the Study:
- To present exoRBase 3.0, an expanded database integrating and comparing extracellular long RNAs (exLRs).
- To provide the first large-scale platform for distinguishing between EVP-associated and cell-free exLRs.
- To facilitate comparative analysis of RNA expression, pathways, and origins for improved liquid biopsy strategies.
Main Methods:
- Systematic integration of exLR data from extracellular vesicles and particles (EVPs) and cell-free fractions.
- Development of a comparative analysis platform distinguishing between EVP-associated and cell-free exLRs.
- Inclusion of interactive visualizations and expanded pathway analysis for 12,981 gene sets.
Main Results:
- exoRBase 3.0 integrates 19,927 mRNAs, 15,961 lncRNAs, and 126,816 circRNAs from 2,913 samples (blood, urine, CSF, bile).
- The database enables large-scale comparison of exLRs from EVP and cell-free fractions.
- Enhanced pathway analysis facilitates understanding of functional roles and tissue origins.
Conclusions:
- exoRBase 3.0 is a valuable resource for comparative analysis of exLRs from different biofluid fractions.
- This resource supports the identification of context-specific RNA biomarkers for precision medicine.
- The findings advance noninvasive disease diagnosis, monitoring, and therapeutic applications using liquid biopsies.
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