Evidence map›Paper›PMID 40298108›Full record

ArticleNucleic acids research2025

Mapping effective microRNA pairing beyond the seed using abasic modifications.

David M Kosek, Katja Petzold, Emma R Andersson

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

David M KosekDepartment of Cell and Molecular Biology, Karolinska Institute, Biomedicum 9B, Solnavägen 9, 171 77Stockholm, Sweden.ORCID 0000-0002-0192-4761
Katja PetzoldDepartment of Medical Biochemistry and Microbiology, Uppsala University, Biomedical Centre D9:3, Husargatan 3, 752 37 Uppsala, Sweden.ORCID 0000-0001-9470-0347
Emma R AnderssonDepartment of Cell and Molecular Biology, Karolinska Institute, Biomedicum 9B, Solnavägen 9, 171 77Stockholm, Sweden.ORCID 0000-0002-8608-625X

Funding

Karolinska InstitutetKarolinska Institutet 21 1770 PjKnut and Alice Wallenberg Foundation KAW 2016.0087Stiftelsen för Strategisk Forskning SSF FFL15-0178
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression by base-pairing to complementary sites in messenger RNAs (mRNAs). The primary element for site recognition is the seed region (nucleotides 2-8 in the miRNA), but for a minority of sites pairing outside the seed increases efficiency, with the supplementary region (nucleotides 13-16) typically having the greatest impact. However, the structural determinants of effective pairing outside the seed are not fully understood. Here, we use abasic modified nucleotides to disrupt pairing to residues 13 and 14 of miR-34a and measure the effect of this modification compared to wild-type miR-34a on the cellular transcriptome and proteome using RNA-seq and mass spectrometry. We find that a subset of sites with predicted supplementary pairing are affected by miRNA transfection, with up to two-fold decreases in site repression at the mRNA level. We show that miR-34a 3'-pairing is sensitive to GU wobble pairs in a position-specific manner and favors bulges in the miRNA over the target. These results were validated with luciferase reporter assays. Overall, this study demonstrates a novel methodological approach for elucidating the role of specific miRNA residues in target site selection, advancing our understanding of miRNA-mediated gene regulation.

Indexed as

Base PairingMicroRNAsHumansNucleic Acid ConformationRNA, MessengerTranscriptomeMicroRNAsMIRN34 microRNA, humanRNA, Messenger

Identifiers

PMID40298108
PMCPMC12038393

What OpenQuestion holds

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Registered trials

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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.