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Published on: February 13, 2013
Charting Extracellular Transcriptomes in The Human Biofluid RNA Atlas
Eva Hulstaert1, Annelien Morlion2, Francisco Avila Cobos2
1Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; OncoRNALab, Cancer Research Institute Ghent (CRIG), Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; Department of Dermatology, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium.
This study maps RNA in 20 human biofluids, revealing significant concentration differences and tissue-specific profiles. This RNA atlas aids selecting optimal biofluids for disease biomarker discovery.
Area of Science:
- Molecular Biology
- Biochemistry
- Genomics
Background:
- Extracellular RNAs (exRNAs) in biofluids are promising disease biomarkers.
- Research predominantly focuses on blood, overlooking other potentially informative biofluids.
Purpose of the Study:
- To create a comprehensive atlas of messenger, circular, and small RNA transcriptomes across 20 human biofluids.
- To compare RNA concentrations and profiles across different biofluids.
- To identify biofluids suitable for specific disease biomarker monitoring.
Main Methods:
- Profiling of messenger, circular, and small RNA transcriptomes from 20 human biofluids.
- Utilizing synthetic spike-in controls for accurate RNA quantification and cross-biofluid comparison.
- Analysis of four independent disease cohorts for biomarker validation.
Main Results:
- A 10,000-fold variation in RNA concentration was observed across the 20 biofluids.
- Circular RNA fractions were generally higher in biofluids than in tissues.
- Each biofluid exhibited unique RNA signatures enriched from specific tissue and cell types.
- Differential RNAs were identified between disease and control groups in validation cohorts.
Conclusions:
- The developed biofluid RNA atlas facilitates informed selection of biofluids for disease biomarker studies.
- Extracellular RNA profiles in biofluids hold significant potential for non-invasive disease diagnostics.
- Publicly available spike-normalized data supports further research and exploration of biofluid biomarkers.
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