ArticleNucleic acids research2026
Development of CRISPR/Cas13-based analytical tools to study RNA-protein interactions.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
RNA-protein interactions (RPIs) are as important as protein-protein interactions (PPIs) for the formation of membraneless organelles (MLOs) and play vital roles in diverse biological processes. Despite remarkable advances in PPI analysis technologies, the development of tools for RPI analysis has lagged behind. To address this challenge, we integrated three established PPI technologies-bimolecular fluorescence complementation (BiFC), NanoBiT, and split-TurboID-with RNA-targeting CRISPR/dCas13. We applied these platforms to paraspeckles, a representative MLO formed through interactions between the long non-coding RNA NEAT1 and the RNA-binding protein NONO. BiFC-dCas13 functions as a fluorescence-based recorder that enables quantitative detection of NEAT1-NONO interaction events. NanoBiT-dCas13 precisely monitors dynamic changes in the NEAT1-NONO interaction through a reversible luminescence readout. Split-TurboID-dCas13 induces proximity-dependent biotinylation of proteins surrounding paraspeckles, identifying the N6-methyladenosine reader YTHDC1 as a paraspeckle-associated protein. Furthermore, BiFC-dCas13 was readily reconfigured to detect additional RPI pairs, demonstrating the modularity of the platform. Together, these complementary systems provide versatile approaches for recording, monitoring, and discovering RPI-associated biology and molecular environments.
Indexed as
Identifiers
What OpenQuestion holds
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.