miRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species

Single nucleotide polymorphisms (SNPs) within microRNAs (miRNAs) and their target binding sites can influence miRNA biogenesis and target regulation, thereby participating in a variety of diseases and biological processes. Current miRNA-related SNP databases are often species-limited or based on outdated data. Therefore, we updated our miRNASNP database to version 4 by updating data, expanding the species from Homo sapiens to 17 species, and introducing several new features. In miRNASNP-v4, 82 580 SNPs in miRNAs and 24 836 179 SNPs in 3'UTRs of genes across 17 species were identified and their potential effects on miRNA secondary structure and target binding were characterized. In addition, compared to the last release, miRNASNP-v4 includes the following improvements: (i) gene enrichment analysis for gained or lost miRNA target genes; (ii) identification of miRNA-related SNPs associated with drug response and immune infiltration in human cancers; (iii) inclusion of experimentally supported immune-related miRNAs and (iv) online prediction tools for 17 animal species. With the extensive data and user-friendly web interface, miRNASNP-v4 will serve as an invaluable resource for functional studies of SNPs and miRNAs in multiple species. The database is freely accessible at http://gong_lab.hzau.edu.cn/miRNASNP/.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2024-10-16
DOI
https://doi.org/10.1093/nar/gkae888
Citations
8
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
2.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

miRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species

Congcong Min, An‐Yuan Guo, Jing Gong, Tian Wu et al.
8 citations
Nucleic Acids Research
MicroRNA in disease regulation
2.28
article

miRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species

Congcong Min, An‐Yuan Guo, Jing Gong, Tian Wu, Xiaohong Wu, Xiaohui Niu, Dongyang Wang, Jing Feng, Jiaxin He, Zexia Gao, Wen Cao
article en
8 citations

Abstract

Single nucleotide polymorphisms (SNPs) within microRNAs (miRNAs) and their target binding sites can influence miRNA biogenesis and target regulation, thereby participating in a variety of diseases and biological processes. Current miRNA-related SNP databases are often species-limited or based on outdated data. Therefore, we updated our miRNASNP database to version 4 by updating data, expanding the species from Homo sapiens to 17 species, and introducing several new features. In miRNASNP-v4, 82 580 SNPs in miRNAs and 24 836 179 SNPs in 3'UTRs of genes across 17 species were identified and their potential effects on miRNA secondary structure and target binding were characterized. In addition, compared to the last release, miRNASNP-v4 includes the following improvements: (i) gene enrichment analysis for gained or lost miRNA target genes; (ii) identification of miRNA-related SNPs associated with drug response and immune infiltration in human cancers; (iii) inclusion of experimentally supported immune-related miRNAs and (iv) online prediction tools for 17 animal species. With the extensive data and user-friendly web interface, miRNASNP-v4 will serve as an invaluable resource for functional studies of SNPs and miRNAs in multiple species. The database is freely accessible at http://gong_lab.hzau.edu.cn/miRNASNP/.

Nucleic Acids ResearchVol. 53(D1)
Huazhong Agricultural University (CN), West China Medical Center of Sichuan University (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 11%
MicroRNA in disease regulation
2.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.