Demonstrates effective multiplex profiling of small noncoding RNAs in cancers, indicating its potential for liquid biopsies.
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.
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Liu et al. (2026) studied this question.
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