Evidence map›Paper›PMID 41535089›Full record

ReviewRNA (New York, N.Y.)2026

Progress and challenges in profiling protein-RNA and protein-associated RNA-RNA interactions.

Zhuoyi Song, Eric L Van Nostrand

Abstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 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

2 authors.

Zhuoyi SongTherapeutic Innovation Center and the Verna Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, USA.ORCID 0000-0001-8367-6353
Eric L Van NostrandTherapeutic Innovation Center and the Verna Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, Texas 77030, USA eric.vannostrand@bcm.edu.ORCID 0000-0002-5188-0082

Funding

Large-scale characterization of the function of RNA regulatory elementsR35HG011909 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI VAN NOSTRAND, ERIC LYMAN · 2021 to 2025
$2.4M
NHGRI NIH HHS R35 HG011909
6 · The paper itself

Abstract

RNA binding proteins (RBPs) play essential roles in post-transcriptional gene regulation by interacting with a wide range of RNA targets. In addition to regulating RNA processing via individual RBP-RNA interactions, there is a growing appreciation of the regulatory impact of protein-associated RNA-RNA interactions that include both well-studied examples of small regulatory RNAs (e.g., microRNAs, snRNAs, snoRNAs, piRNAs) guiding ribonucleoprotein complexes to their targets as well as structured RNA elements defining the interaction landscape for an RBP. To elucidate the full scope of RBP-RNA interactions, CLIP (crosslinking and immunoprecipitation)-based methods have emerged as powerful tools. Even with the wide application of CLIP and variant approaches, these methods are still under significant ongoing advancement to better accommodate diverse biological systems and experimental demands and improve scalability. In particular, recent years have seen a focus on improved techniques to globally profile protein-associated RNA-RNA interactions. In this review, we provide a summary of recent improvements in traditional CLIP methods that improve the mapping of RBP-RNA interactions, with particular focus on those that specifically enable the profiling of protein-associated RNA-RNA interactions. We discuss the unique challenges involved in mapping protein-associated RNA-RNA interactions and highlight different ways current approaches address these challenges in order to offer a practical framework for researchers seeking to investigate RBP-associated RNA interactions.

Indexed as

RNARNA-Binding ProteinsAnimalsHumansImmunoprecipitationMicroRNAsProtein BindingMicroRNAsRNARNA-Binding Proteinschimeric CLIPCLASHCLIPRNA interactionsRRI

Identifiers

PMID41535089
PMCPMC12990808

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.