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A method for simultaneous detection of small and long RNA biotypes by ribodepleted RNA-Seq
Nikita Potemkin1,2, Sophie M F Cawood1,2, Jackson Treece1
1Department of Anatomy, School of Biomedical Sciences, University of Otago, P.O. Box 56, Dunedin, New Zealand.
Scientific Reports
|January 13, 2022
Summary
This study presents a novel RNA sequencing protocol for simultaneous detection of coding and non-coding transcripts. The method ensures consistent library preparation and accurate quantification of over 30,000 unique transcripts from diverse tissues.
Area of Science:
- Molecular Biology
- Genomics
- Transcriptomics
Background:
- RNA sequencing (RNA-Seq) provides comprehensive transcriptome analysis.
- Simultaneous detection of diverse RNA species is crucial for understanding gene expression.
- Existing protocols may face challenges with specific tissue types or rRNA removal.
Purpose of the Study:
- To develop and validate a novel, streamlined RNA sequencing protocol.
- To enable simultaneous detection and quantification of both coding and non-coding transcripts.
- To improve RNA-Seq efficiency and consistency across different sample types.
Main Methods:
- Modification of the Ion Total RNA-Seq kit v2 protocol.
- Integration of the QIASeq FastSelect rRNA removal kit for efficient rRNA depletion.
- Application of the protocol to frozen mouse hippocampal and post-mortem human tissues.
- Validation using quantitative real-time PCR (qRT-PCR).
Main Results:
- Consistent sequencing library preparation from both high-integrity mouse and challenging human post-mortem tissues.
- Highly efficient rRNA removal (<1.5% in final library) using FastSelect.
- Identification and quantification of >30,000 unique transcripts, including coding and non-coding RNAs.
- Normalized sequencing read counts showed significant negative correlation with qRT-PCR Ct values, indicating accuracy.
Conclusions:
- The developed protocol accurately and consistently identifies and quantifies a wide range of transcripts simultaneously.
- Efficient rRNA depletion and minimized sample handling enhance its utility.
- This protocol is valuable for researchers investigating whole transcriptomes, particularly with challenging samples.
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