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Sequencing of mRNA from Whole Blood using Nanopore Sequencing
Published on: June 3, 2019
Molecular Encoding during Amplification Enables Multiplex Nanopore Profiling of Small Noncoding RNAs
Mengyu Liu1,2, Haotian Zhang3, Sha Guo4,5
1State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing 210023, China.
Abstract:
Many cancers are characterized by the coordinated dysregulation of multiple small noncoding RNAs (sncRNAs), yet fluorescence-based assays such as quantitative reverse transcription PCR (qRT-PCR) fundamentally limit multiplexing. Here, we report an amplification-encoded nanopore sensing strategy in which sncRNA identity is written during RT-PCR amplification and decoded by single-molecule nanopore sensing without chemical labeling or optical detection. Target sncRNAs are converted into stem-loop amplicons whose electrical signatures are modulated by the nucleotides at the 3' terminus of sncRNA, allowing for the encoding of many distinct sncRNA identities and enabling single-nucleotide discrimination within the highly homologous Let-7 family. As a demonstration, we concurrently analyzed gastric cancer-associated microRNAs and tRNA-derived small RNAs, achieving classification accuracies exceeding 97% with machine-learning-assisted decoding. This method also enables absolute quantification of multiple sncRNAs simultaneously through capture-efficiency correction and an internal reference sequence. This amplification-encoded nanopore strategy provides a scalable framework for multiplex single-molecule analysis of diverse sncRNAs and highlights its potential for liquid biopsy applications.
Insights
Researchers developed a new nanopore sensing method to detect multiple small noncoding RNAs (sncRNAs) simultaneously. This technique enables accurate cancer diagnosis using liquid biopsies by analyzing sncRNA patterns.
Area of Science:
- Molecular Biology
- Nanotechnology
- Genomics
Background:
- Cancers involve dysregulated small noncoding RNAs (sncRNAs).
- Current fluorescence-based assays like qRT-PCR have limited multiplexing capabilities for sncRNA detection.
Purpose of the Study:
- To develop a novel amplification-encoded nanopore sensing strategy for multiplexed sncRNA analysis.
- To enable single-molecule detection and discrimination of highly homologous sncRNAs without chemical labeling.
Main Methods:
- sncRNAs were converted into stem-loop amplicons.
- Electrical signatures of amplicons were decoded using single-molecule nanopore sensing.
- Machine learning was employed for assisted decoding and classification.
Main Results:
- Achieved single-nucleotide discrimination within the Let-7 family.
- Demonstrated concurrent analysis of gastric cancer-associated microRNAs and tRNA-derived small RNAs.
- Attained classification accuracies exceeding 97% for cancer-associated sncRNA profiles.
Conclusions:
- The amplification-encoded nanopore strategy offers a scalable framework for multiplexed sncRNA analysis.
- This method enables absolute quantification of multiple sncRNAs.
- The technology shows significant potential for liquid biopsy applications in cancer detection.
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