Biochemical-free enrichment or depletion of RNA classes in real-time during direct RNA sequencing with RISER
View abstract on PubMed
Summary
This summary is machine-generated.RISER is a new biochemical-free technology that enriches RNA detection during direct RNA sequencing. It depletes abundant RNA classes in real-time, improving the detection of weakly expressed RNA molecules.
Area Of Science
- Genomics and Molecular Biology
- Bioinformatics and Computational Biology
Background
- Cellular transcriptomes are complex, making it difficult to detect low-abundance RNA classes obscured by abundant ones.
- Existing biochemical methods for RNA enrichment/depletion are costly, time-consuming, and can degrade RNA integrity.
Purpose Of The Study
- To introduce RISER, a novel biochemical-free technology for real-time RNA class enrichment or depletion during direct RNA sequencing.
- To demonstrate RISER's ability to improve the detection of low-abundance RNA by reducing interference from dominant RNA species.
Main Methods
- RISER utilizes deep learning to identify RNA classes from nanopore signals in real-time.
- It selectively rejects unwanted RNA molecules by communicating directly with sequencing hardware.
- The technology is modular, retrainable, and features a user-friendly command-line interface.
Main Results
- RISER depleted dominant messenger and mitochondrial RNA classes by over 85%, increasing sequencing depth for long non-coding RNAs by 47%.
- In whole blood, RISER reduced globin mRNA reads by over 90%, increasing non-globin reads by 16%.
- RISER processing is faster than GPU-accelerated basecalling and mapping.
Conclusions
- RISER offers an efficient, real-time, and adaptable solution for targeted RNA depletion or enrichment in direct RNA sequencing.
- This technology overcomes limitations of traditional biochemical methods, enhancing the study of complex transcriptomes.
- RISER's speed and flexibility make it valuable for various RNA analysis applications.
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