Evidence map›Paper›PMID 41330639›Full record

ArticleRNA (New York, N.Y.)2026

MUTACLASH: identifying functional small RNA target sites using crosslinking-induced mutations.

Wei-Sheng Wu, Dong-En Lee, Chi-Jung Chung, Shang-Yi Lu, Jordan S Brown, Donglei Zhang, Heng-Chi Lee

Abstract read
In one paragraph

Article 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

7 authors.

Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Dong-En LeeDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Chi-Jung ChungDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Shang-Yi LuDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Jordan S BrownDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, Illinois 60637, USA.
Donglei ZhangDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, Illinois 60637, USA.ORCID 0000-0002-2720-1414
Heng-Chi LeeDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, Illinois 60637, USA hengchilee@uchicago.edu.ORCID 0000-0001-8154-906X

Funding

piRNA-mediated genome surveillance of germline transcriptsR01GM132457 · NIGMS · UNIVERSITY OF CHICAGO · PI LEE, HENG-CHI · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM132457
6 · The paper itself

Abstract

Small RNAs play essential roles in gene regulation across diverse biological processes. Crosslinking, ligation, and sequencing of hybrids (CLASH) experiments have revealed that PIWI and Argonaute proteins can each bind a wide range of mRNA targets with distinct base-pairing rules, raising questions about the flexibility and functional relevance of these interactions. Given that crosslinking-induced mutations (CIMs) provide single-nucleotide resolution molecular footprints of RNA-binding proteins, we developed MUTACLASH, a bioinformatics tool for systematically analyzing CIMs in CLASH data sets. Our analyses indicate that CIMs function as molecular footprints of Argonaute binding on target mRNAs. Specifically, for

Indexed as

Computational BiologyMicroRNAsMutationRNA, Small InterferingSoftwareAnimalsArgonaute ProteinsBinding SitesCaenorhabditis elegansRNA-Binding ProteinsRNA, MessengerArgonaute ProteinsMicroRNAsRNA-Binding ProteinsRNA, MessengerRNA, Small InterferingArgonauteCLASHpiRNAPIWIsmall RNA

Identifiers

PMID41330639
PMCPMC12810180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.