Evidence map›Paper›PMID 41755635›Full record

ArticleNucleic acids research2026

RAPseq enables large-scale identification of RBP-RNA interactions and reveals essentials of post-transcriptional gene regulation.

Riccardo Mosca, Carlos J Gallardo-Dodd, Qun Li, Christian Sommerauer, Justas Šidiškis, Jonas Nørskov Søndergaard, Claudia Kutter

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. Review
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.

Riccardo MoscaDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0001-7355-6737
Carlos J Gallardo-DoddDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0002-6086-0550
Qun LiDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0002-4734-712X
Christian SommerauerDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0001-7132-7172
Justas ŠidiškisDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0001-6498-8140
Jonas Nørskov SøndergaardDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0002-4438-6756
Claudia KutterDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Science for Life Laboratory, 171 11 Stockholm, Sweden.ORCID 0000-0002-8047-0058

Funding

Cancerfonden 22 2246 PjERASMUS+ 2021/092KI-KID 2018-00904KI-KID 2021-00308Knut and Alice Wallenberg Foundation KAW 2016.0174National Academic Infrastructure for Supercomputing in Sweden 2024/22-1263National Academic Infrastructure for Supercomputing in Sweden 2024/22-144National Academic Infrastructure for Supercomputing in Sweden 2024/23-563National Academic Infrastructure for Supercomputing in Sweden 2024/23-84Robert Lundberg Memorial Foundation 2022-01158Robert Lundberg Memorial Foundation 2025-02130Ruth and Richard Julin foundation 2020-00294Ruth and Richard Julin foundation 2022-00283Ruth and Richard Julin foundation 2023-00162SFO-SciLifeLab SFO_004Swedish Research Council 2019-05165Swedish Research Council 2023-02780
6 · The paper itself

Abstract

Over the past decade, thousands of putative human RNA-binding proteins (RBPs) have been identified, increasing the need for methods that define their RNA-binding capacities across diverse biological settings. Existing methods rely either on antibody-based in vivo capture (e.g. CLIP-seq), which depends on cross-linking efficiency and antibody availability, or on synthetic oligonucleotide-based assays (e.g. RNAcompete), which use artificial RNA substrates and cannot assess binding across the native transcriptome. To bridge this gap, we developed RNA affinity purification followed by sequencing (RAPseq), an in vitro method that profiles RBP-binding to native cellular RNA, enabling large-scale transcriptome-wide characterization of RNA-protein interactions without antibodies or synthetic probes. Using RAPseq, we characterized the RNA interactomes of 11 canonical RBPs and 26 non-canonical RBPs, and uncovered novel and specialized moonlighting RNA-binding activities. Applying RAPseq to vertebrate HUR proteins revealed recognition of a conserved RNA-binding motif but showed species-specific binding preferences. Profiling of five pathological IGF2BP family variants exhibited distinct gain- and loss-of-function binding patterns, with implications for cancer biology. Our combinatorial RBP-binding assay (co-RAPseq) uncovered cooperative RNA-binding by HUR and PTBP1, including de novo estimation of the optimal binding distance. Lastly, we introduce a modification-sensitive assay (mod-RAPseq) to distinguish between modification-dependent and -independent RNA-binding sites of YTHDF1 and YBX1. Overall, our simple, scalable, and versatile method enables exploration of complex RNA-protein interactions and the regulatory layers that shape post-transcriptional gene regulation.

Indexed as

Gene Expression RegulationRNARNA-Binding ProteinsAnimalsBinding SitesHumansProtein BindingSequence Analysis, RNATranscriptomeRNARNA-Binding Proteins

Identifiers

PMID41755635
PMCPMC12956339

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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.