ArticleScientific data2026
A reliable and verified dataset of functional miRNA-mRNA target interactions for gene regulation studies.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- A reliable and verified dataset of functional miRNA-mRNA target interactions for gene regulation studies.Scientific data · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
MicroRNAs (miRNAs) regulate gene expression through interactions with target mRNAs, primarily thought to be via seed-mediated binding in the 3' untranslated region. However, increasing evidence supports the functional importance of non-canonical and seed-independent interactions, as well as miRNA-mediated up-regulation. Existing miRNA-mRNA interaction databases integrate data from diverse experimental approaches but often contain inconsistencies in annotation, redundancy, and variable levels of validation, limiting their utility for sequence-level and mechanistic analyses. Here, we present miRVerified, a high-confidence dataset of 1,913 experimentally validated human miRNA-mRNA interactions curated using stringent inclusion criteria. Interactions were compiled from publicly available resources and filtered to retain only those supported by direct functional reporter assays and sequence-resolved binding evidence. Additional quality control steps included removal of duplicate entries, exclusion of retracted studies, and validation of target site sequences through alignment to the human reference genome (hg38). Both canonical and non-canonical interactions were retained, along with experimentally supported cases of miRNA-mediated up-regulation. The resulting dataset provides binding site-resolved interaction sequences, mutation data, and genomic coordinates. Enrichment analysis demonstrates a significant overrepresentation of conserved targets, supporting biological validity. MiRVerified is designed as a reliable reference resource for benchmarking, predictive modeling, and mechanistic studies of miRNA-mediated gene regulation.
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Registered trials
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.