miRTarBase 2025: updates to the collection of experimentally validated microRNA–target interactions

MicroRNAs (miRNAs) are small non-coding RNAs (18-26 nucleotides) that regulate gene expression by interacting with target mRNAs, affecting various physiological and pathological processes. miRTarBase, a database of experimentally validated miRNA-target interactions (MTIs), now features over 3 817 550 validated MTIs from 13 690 articles, significantly expanding its previous version. The updated database includes miRNA interactions with therapeutic agents, revealing roles in drug resistance and therapeutic strategies. It also highlights miRNAs as predictive, safety and monitoring biomarkers for toxicity assessment, clinical treatment guidance and therapeutic optimization. The expansion of miRNA-mRNA and miRNA-miRNA networks allows the identification of key regulatory genes and co-regulatory miRNAs, providing deeper insights into miRNA functions and critical target genes. Information on oxidized miRNA sequences has been added, shedding light on how oxidative modifications influence miRNA targeting and regulation. The integration of the LLAMA3 model into the NLP pipeline, alongside prompt engineering, enables the efficient identification of MTIs and miRNA-disease associations without large training datasets. An updated data integration and a redesigned user interface enhance accessibility, reinforcing miRTarBase as an essential resource for molecular oncology, drug development and related fields. The updated miRTarBase is available at https://mirtarbase.cuhk.edu.cn/∼miRTarBase/miRTarBase_2025.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-23
DOI
https://doi.org/10.1093/nar/gkae1072
Citations
155
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
44.20

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article

miRTarBase 2025: updates to the collection of experimentally validated microRNA–target interactions

Guanghao Li, Hua‐Li Zuo, Hao-Xuan Zhang, Hsien‐Da Huang et al.
155 citations
Nucleic Acids Research
MicroRNA in disease regulation
44.20
article

miRTarBase 2025: updates to the collection of experimentally validated microRNA–target interactions

Guanghao Li, Hua‐Li Zuo, Hao-Xuan Zhang, Hsien‐Da Huang, Lin‐Fa Wang, Baiming Chen, Jiajun Ma, Yixian Huang, Jiayi Fu, Shidong Cui, Yang-Chi-Dung Lin, Jiayi Wang, Zhuoran Li, Bojian Zhang, Junyao Xiao, Sicong Yu
article en
155 citations

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs (18-26 nucleotides) that regulate gene expression by interacting with target mRNAs, affecting various physiological and pathological processes. miRTarBase, a database of experimentally validated miRNA-target interactions (MTIs), now features over 3 817 550 validated MTIs from 13 690 articles, significantly expanding its previous version. The updated database includes miRNA interactions with therapeutic agents, revealing roles in drug resistance and therapeutic strategies. It also highlights miRNAs as predictive, safety and monitoring biomarkers for toxicity assessment, clinical treatment guidance and therapeutic optimization. The expansion of miRNA-mRNA and miRNA-miRNA networks allows the identification of key regulatory genes and co-regulatory miRNAs, providing deeper insights into miRNA functions and critical target genes. Information on oxidized miRNA sequences has been added, shedding light on how oxidative modifications influence miRNA targeting and regulation. The integration of the LLAMA3 model into the NLP pipeline, alongside prompt engineering, enables the efficient identification of MTIs and miRNA-disease associations without large training datasets. An updated data integration and a redesigned user interface enhance accessibility, reinforcing miRTarBase as an essential resource for molecular oncology, drug development and related fields. The updated miRTarBase is available at https://mirtarbase.cuhk.edu.cn/∼miRTarBase/miRTarBase_2025.

Nucleic Acids ResearchVol. 53(D1)
Dalian Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Chinese University of Hong Kong, Shenzhen (CN), First Affiliated Hospital of Dalian Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 0%
MicroRNA in disease regulation
44.20
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