Evidence map›Paper›PMID 42127214›Full record

ArticleACS nano2026

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

Filip Boskovic, Sarah E Sandler, Simon Brauburger, Yuan Shui, Bhavik Kumar, Joana Pereira Dias, Plamena Naydenova, Jinbo Zhu, Stephen Baker, Ulrich F Keyser

Abstract read
In one paragraph

Article in ACS nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Filip BoskovicCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.ORCID 0000-0001-7663-2408
Sarah E SandlerCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.ORCID 0000-0001-9689-8684
Simon BrauburgerCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.
Yuan ShuiCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.
Bhavik KumarCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.
Joana Pereira DiasUniversity of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0SP, U.K.
Plamena NaydenovaUniversity of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0SP, U.K.
Jinbo ZhuCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.ORCID 0000-0003-4935-825X
Stephen BakerA*STAR Infectious Diseases Laboratories (A*STAR IDL), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Singapore.
Ulrich F KeyserCavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DNA NanostructuresNanoporesRNA, BacterialRNA, RibosomalRNA, BacterialRNA, Ribosomalbacterial identificationRNA:DNA nanostructuresrRNA processingSalmonella serotypingsingle-molecule detectionsolid-state nanopores

Identifiers

PMID42127214
PMCPMC13218044

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.