Evidence map›Paper›PMID 42170088›Full record

ArticleRSC advances2026

An approach for the systematic profiling of drug-induced remodeling of RNA-RBP (RNA-binding protein) interactions.

Yajie Jiao, Jinguo Zhao, Bin Fu, Peiying Dong, Xiaohong Qian, Tong Liu, Weijie Qin

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yajie JiaoState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.ORCID https://orcid.org/0009-0000-6211-428X
Jinguo ZhaoState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.
Bin FuState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.
Peiying DongState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.
Xiaohong QianState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.
Tong LiuState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.
Weijie QinState Key Laboratory of Medical Proteomics, National Center for Protein Sciences Beijing, Academy of Military Medical Sciences Beijing 102206 China liutong19920918@163.com aunp_dna@126.com.ORCID https://orcid.org/0000-0002-7633-9786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acid-based therapeutics targeting RNA-related regulatory networks have received substantial attention in drug development, among which the interventions of RNA-RBP (RNA-binding protein) interactions or RNA-protein complex assemblies represent a promising strategy for treating various diseases. RBPs play essential roles in post-transcriptional regulation, and their interactions with RNA are closely associated with physiological homeostasis and pathological progression. Although RNA-RBP interactions are increasingly recognized as therapeutic targets, the lack of systematic methods for screening the drugs that intervene in these interactions and evaluating their off-target effects remains a major bottleneck in the field. Here, we established an integrated approach combining biotinylated furocoumarin probe (BFP)-mediated RNA-tagging and RPC enrichment with quantitative proteomics to systematically profile the drug-induced remodeling of RNA-RBP interactions, thereby facilitating therapeutic drug discovery and off-target effect assessment. Applying this approach to MS-444-treated cells, we confirmed therapeutic target engagement by detecting inhibited HuR-RNA binding (the primary target of MS-444) and simultaneously revealed widespread binding suppression of RNA-processing RBPs, particularly those harboring RRM domains, as potential off-target effects. When applied to risdiplam-treated cells (an FDA-approved splicing modulator for spinal muscular atrophy), we verified the expected dissociation of hnRNP G from RNA transcripts and revealed extensive remodeling of SR and hnRNP splicing factors involved in SMN2 exon 7 regulation, providing insights into both its therapeutic mechanism and potential off-target perturbations. We anticipate that this approach will serve as a powerful platform for screening the drugs targeting RNA-RBP interactions and evaluating their off-target effects, thereby advancing the development of RNA-targeted therapeutics.

Identifiers

PMID42170088
PMCPMC13187759

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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.