Visualizing single-base RNA mutations in living cells through DNA nanostructure-mediated amplification

preprint OA: closed
Full text JSON View at publisher

Abstract

Capturing RNA dynamics in living cells would provide critical insights into transcriptional control and cellular adaptation, but remains technically formidable — particularly at single-base precision. Here, we introduce a DNA tetrahedron based three-dimensional catalytic hairpin assembly (3D@CHA) nanoplatform that couples target recognition with catalytic activation in a spatially organized framework. Three cascaded hairpins (H-AN, H1, and H2) then enable localized and efficient signal amplification. Without external carriers or transfection, the platform exhibits robust biocompatibility, distinguishing highly homologous insulin I ( Ins1 ) and insulin II ( Ins2 ) mRNAs in living cells and tracking their redistribution and intercellular transfer during metabolic changes. Introducing a single-base mismatch site into H1 and coupling it with a Förster resonance energy transfer (FRET) readout yielded a KRAS -3D@CHA probe capable of detecting KRAS G12D mutations at the RNA level with single-base resolution. This platform establishes a programmable framework for precise RNA imaging and mutation discrimination, opening new avenues for RNA-level diagnostics and precision oncology.
Full text 1,271 characters · extracted from oa-doi-fallback · click to expand
Abstract Capturing RNA dynamics in living cells would provide critical insights into transcriptional control and cellular adaptation, but remains technically formidable — particularly at single-base precision. Here, we introduce a DNA tetrahedron based three-dimensional catalytic hairpin assembly (3D@CHA) nanoplatform that couples target recognition with catalytic activation in a spatially organized framework. Three cascaded hairpins (H-AN, H1, and H2) then enable localized and efficient signal amplification. Without external carriers or transfection, the platform exhibits robust biocompatibility, distinguishing highly homologous insulin I (Ins1) and insulin II (Ins2) mRNAs in living cells and tracking their redistribution and intercellular transfer during metabolic changes. Introducing a single-base mismatch site into H1 and coupling it with a Förster resonance energy transfer (FRET) readout yielded a KRAS-3D@CHA probe capable of detecting KRASG12D mutations at the RNA level with single-base resolution. This platform establishes a programmable framework for precise RNA imaging and mutation discrimination, opening new avenues for RNA-level diagnostics and precision oncology. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-07-30T08:32:49.343555+00:00