Repository logo
 

Quantification of disease-associated RNA tandem repeats by nanopore sensing.

Accepted version
Peer-reviewed

Change log

Abstract

Short tandem repeat expansions underlie a class of neurological and neuromuscular diseases known as repeat expansion disorders, yet the precise characterisation of these repeats remains technically challenging. Conventional amplification-based methods fail to resolve repeat length accurately due to amplification bias and sequence homogeneity. Here, we present a single-molecule nanopore-based strategy that enables direct quantification of tandem repeats in native RNA. By assembling RNA:DNA nanostructures that encode specific repeat number, we achieve repeat size discrimination with a resolution of 18 nucleotides. Using tandem repeat-containing RNA, we successfully detect and discriminate disease-relevant repeat lengths associated with myotonic dystrophy types 1 (DM1) and 2 (DM2), and congenital central hypoventilation syndrome-1. Finally, we apply our method to total RNA extracted from a DM1 human cell line model, demonstrating its compatibility with complex biological samples. Our approach offers a platform for studying repeat expansion biology at the single-molecule level, with broad implications for diagnostics, clinical research and multiplexed repeat profiling.

Description

Journal Title

Nat Commun

Conference Name

Journal ISSN

2041-1723
2041-1723

Volume Title

Publisher

Springer Nature

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
European Research Council (647144)
-EPSRC CDT MRes/PhD Studentship in Nanoscience and Nanotechnology (NanoDTC Cambridge EP/S022953/1) -Trinity-Henry Barlow Scholarship. -UKRI under the UK government’s Horizon Europe funding guarantee EP/ X023311/1 -European Research Council (ERC) consolidator grant (DesignerPores no. 647144) -ERC-2019-PoC grant (PoreDetect no. 899538) -European Union under the Horizon 2020 Program, FET- Open: DNA-FAIRYLIGHTS, Grant Agreement No. 964995. -George and Lilian Schiff Foundation Studentship -Winton Program for the Physics of Sustainability PhD Scholarship -St John’s College Benefactors’ Scholarship. -Science Fund of the Republic of Serbia, Grant number #7754217