Evidence map›Paper›PMID 41099710›Full record

ArticleNucleic acids research2025

Functional microRNA targeting without seed pairing.

Matthew H Hall, Peter Y Wang, Thy M Pham, David P Bartel

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
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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 H HallHoward Hughes Medical Institute, Cambridge, MA 02142, USA.ORCID 0000-0001-8509-6838
Peter Y WangHoward Hughes Medical Institute, Cambridge, MA 02142, USA.ORCID 0000-0002-6129-2815
Thy M PhamHoward Hughes Medical Institute, Cambridge, MA 02142, USA.ORCID 0000-0001-5281-9147
David P BartelHoward Hughes Medical Institute, Cambridge, MA 02142, USA.ORCID 0000-0002-3872-2856

Funding

Post-transcriptional gene regulationR35GM118135 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI DAVID P BARTEL · 2016 to 2026
$10.7M
Howard Hughes Medical InstituteNIGMS NIH HHS R35 GM118135NIH HHS GM118135
6 · The paper itself

Abstract

MicroRNAs (miRNAs) associate with Argonaute (AGO) proteins to serve as guides, directing binding to partially complementary sites in mRNAs, ultimately causing post-transcriptional repression. Complementarity to the miRNA seed (miRNA nucleotides 2-7) is typically necessary and sufficient for repression. Here, we investigate unusual sites with extensive complementarity to the miRNA 3' region (nucleotide 9 and onwards) but without complementarity to the seed. The top examples of these 3'-only sites bind as well as top canonical sites and impart similar repression, which can be further boosted by as few as 2-3 additional pairs to the miRNA seed. Despite these similarities, 3'-only sites have slower association and dissociation rates than seed-matched sites. They also impart different conformations to bound AGO-miRNA complexes than do seed-matched sites, and individual miRNAs differ substantially with respect to how well they bind their respective 3'-only sites. Thus, pairing to the seed is not always required for binding and repression, or for a target to gain access to the 3' region of the guide. For miRNAs that recognize 3'-only sites, those sites are estimated to constitute <1% of the set of endogenous target sites, a proportion resembling that of other rare but functional site types such as 3'-compensatory sites.

Indexed as

Argonaute ProteinsMicroRNAs3' Untranslated RegionsBase PairingBinding SitesHumansRNA, Messenger3' Untranslated RegionsArgonaute ProteinsMicroRNAsRNA, Messenger

Identifiers

PMID41099710
PMCPMC12529927

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.