ArticleNucleic acids research2025
Development of programmable RNA imaging with RNA-guided GFP via click chemistry.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Recent Advances in the Development of CRISPR-Based Live-Cell Molecular Imaging and Sensing.Molecular imaging and biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The CRISPR-Cas system revolutionized molecular biology by guiding Cas proteins to target nucleic acid sequences using customizable guide RNAs, offering unparalleled precision and versatility. Inspired by this innovation, we developed RNA-guided green fluorescent protein (RGG), a simple and programmable platform for targeting nucleic acid. Using a streamlined click chemistry approach, known for its high efficiency and specificity, we conjugated dibenzocyclooctyne (DBCO)-modified guide nucleic acids, designed to complement target sequences, with azide-exposed proteins to construct RGG. Systematic optimization identified 30-nt RNA with 3'-DBCO modifications as the most effective configuration for RGG, enabling precise visualization of nuclear-localized RNAs, including NEAT1 and Satellite III RNA, in living cells. This establishes RGG as a customizable and efficient system for RNA imaging and molecular analysis, underscoring the potential of direct conjugation between guide nucleic acids and proteins to enable precise nucleic acid recognition and dynamic molecular modification in living cells.
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Registered trials
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.