Evidence map›Paper›PMID 41152491›Full record

ArticleScientific reports2025

New characteristics of MiRNA and IsomiR interactions with mRNA.

Matthew Weston, Rony Chowdhury Ripan, Xiaoman Li, Haiyan Hu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Matthew WestonDepartment of Computer Science, University of Central Florida, Orlando, FL, USA.
Rony Chowdhury RipanDepartment of Computer Science, University of Central Florida, Orlando, FL, USA.
Xiaoman LiBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA. xiaoman@mail.ucf.edu.
Haiyan HuDepartment of Computer Science, University of Central Florida, Orlando, FL, USA. haihu@cs.ucf.edu.

Funding

National Science Foundation 2120907National Science Foundation 2514869
6 · The paper itself

Abstract

Studying the interactions between microRNAs/isomiRs and mRNAs is crucial due to their fundamental roles in gene regulation and disease. Although many isomiRs have been identified, the analysis of their interactions with mRNAs remains in its early stages. In this study, we compiled available human chimeric reads, each pairing a microRNA or isomiR segment with an mRNA segment. We then identified 1747 isomiRs and over 5 million microRNA/isomiR-mRNA interactions from the complied data. We found that microRNAs with higher adenine and thymine content, and lower cytosine content, tend to have more isomiRs and target more mRNAs. Notably, 18.9% of mRNA targets were bound exclusively by isomiRs, not their microRNAs. Furthermore, isomiRs sharing the same seed sequences as their reference miRNAs may target different mRNAs from their miRNAs, suggesting functional divergence. Interestingly, 20.0% of microRNAs and 8.2% of isomiRs bind mRNAs independently of their seed regions. Among those that do utilize seed regions, 94.5% of microRNAs and 95.7% of isomiRs also engage non-seed region binding. Our findings provide new insights into the complexity of microRNA/isomiR-mRNA interactions.

Indexed as

MicroRNAsRNA, MessengerGene Expression RegulationHumansMicroRNAsRNA, MessengerChimeric readsisomiR–mRNA interactionsIsomiRsmiRNA–mRNA interactions

Identifiers

PMID41152491
PMCPMC12569181

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.