Modular RNA:DNA Nanostructures Enable Nanopore Profiling of rRNA Processing and rRNA Variants

Ribosomal RNAs (rRNAs) serve as species-defining markers and undergo processing steps, such as excision of intervening sequences (IVSs). Direct analysis of native rRNAs is hampered by enzyme-induced biases and by the high conservation of rRNA sequences, which complicate discrimination of closely related variants. Here, we present modular RNA:DNA nanostructures that enable direct identification of native rRNAs and their variants. The approach employs rationally designed RNA:DNA duplexes, named RNA identifiers (IDs), assembled onto native rRNAs via short complementary oligonucleotides bearing programmable coding motifs. We demonstrate that native bacterial 16S rRNAs can be directly converted to RNA IDs and detected with solid-state nanopores. Having established a direct rRNA readout, we next show that biologically encoded rRNA processing states, including serovar-specific 23S rRNA fragmentation patterns arising from IVS excision, are resolved using RNA IDs. Finally, to extend discrimination beyond processing-level differences, we incorporate catalytically inactive Cas9 ribonucleoprotein complexes to enable single-nucleotide discrimination of rRNA variants. Our modular RNA ID nanopore system facilitates the study of rRNA processing and rRNA diversity.

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Publication Details

Journal
ACS Nano
Published
2026-05-13
DOI
https://doi.org/10.1021/acsnano.6c01132
Primary Topic
Nanopore and Nanochannel Transport Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Modular RNA:DNA Nanostructures Enable Nanopore Profiling of rRNA Processing and rRNA Variants

Bhavik Kumar, Stephen Baker, Yuan Shui, Jinbo Zhu et al.
ACS Nano
Nanopore and Nanochannel Transport Studies
article

Modular RNA:DNA Nanostructures Enable Nanopore Profiling of rRNA Processing and rRNA Variants

Bhavik Kumar, Stephen Baker, Yuan Shui, Jinbo Zhu, Simon Brauburger, Joana Pereira Dias, Filip Bošković, Ulrich F. Keyser, Sarah Sandler, Plamena Naydenova
article en

Abstract

Ribosomal RNAs (rRNAs) serve as species-defining markers and undergo processing steps, such as excision of intervening sequences (IVSs). Direct analysis of native rRNAs is hampered by enzyme-induced biases and by the high conservation of rRNA sequences, which complicate discrimination of closely related variants. Here, we present modular RNA:DNA nanostructures that enable direct identification of native rRNAs and their variants. The approach employs rationally designed RNA:DNA duplexes, named RNA identifiers (IDs), assembled onto native rRNAs via short complementary oligonucleotides bearing programmable coding motifs. We demonstrate that native bacterial 16S rRNAs can be directly converted to RNA IDs and detected with solid-state nanopores. Having established a direct rRNA readout, we next show that biologically encoded rRNA processing states, including serovar-specific 23S rRNA fragmentation patterns arising from IVS excision, are resolved using RNA IDs. Finally, to extend discrimination beyond processing-level differences, we incorporate catalytically inactive Cas9 ribonucleoprotein complexes to enable single-nucleotide discrimination of rRNA variants. Our modular RNA ID nanopore system facilitates the study of rRNA processing and rRNA diversity.

ACS Nano
Agency for Science, Technology and Research (SG), University of Cambridge (GB), Star Technology and Research (United States) (US), Cambridge School (PT), Cavendish Hospital (GB)
Cambridge Trust, Engineering and Physical Sciences Research Council, HORIZON EUROPE European Research Council
Openalex Percentile: Top 9%
Nanopore and Nanochannel Transport Studies
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