MiRGen: a Database for the Study of Animal MicroRNA Genomic Organization and Function
Overview
Affiliations
miRGen is an integrated database of (i) positional relationships between animal miRNAs and genomic annotation sets and (ii) animal miRNA targets according to combinations of widely used target prediction programs. A major goal of the database is the study of the relationship between miRNA genomic organization and miRNA function. This is made possible by three integrated and user friendly interfaces. The Genomics interface allows the user to explore where whole-genome collections of miRNAs are located with respect to UCSC genome browser annotation sets such as Known Genes, Refseq Genes, Genscan predicted genes, CpG islands and pseudogenes. These miRNAs are connected through the Targets interface to their experimentally supported target genes from TarBase, as well as computationally predicted target genes from optimized intersections and unions of several widely used mammalian target prediction programs. Finally, the Clusters interface provides predicted miRNA clusters at any given inter-miRNA distance and provides specific functional information on the targets of miRNAs within each cluster. All of these unique features of miRGen are designed to facilitate investigations into miRNA genomic organization, co-transcription and targeting. miRGen can be freely accessed at http://www.diana.pcbi.upenn.edu/miRGen.
miR-26a/30d/152 are reliable reference genes for miRNA quantification in skin wound age estimation.
Suo L, Cheng J, Yuan H, Jiang Z, Tash D, Wang L Forensic Sci Res. 2024; 8(3):230-240.
PMID: 38221964 PMC: 10785593. DOI: 10.1093/fsr/owad037.
Niu H, Pang Y, Xie L, Yu Q, Shen Y, Li J BMC Genomics. 2023; 24(1):73.
PMID: 36782132 PMC: 9926789. DOI: 10.1186/s12864-023-09159-x.
A review on methods for predicting miRNA-mRNA regulatory modules.
Madhumita M, Paul S J Integr Bioinform. 2022; 19(3).
PMID: 35357793 PMC: 9521823. DOI: 10.1515/jib-2020-0048.
The Role of Non-Coding RNAs in Autophagy During Carcinogenesis.
Cruz-Ojeda P, Flores-Campos R, Navarro-Villaran E, Muntane J Front Cell Dev Biol. 2022; 10:799392.
PMID: 35309939 PMC: 8926078. DOI: 10.3389/fcell.2022.799392.
Ragni E, Perucca Orfei C, Vigano M, Valli F, de Girolamo L Biomolecules. 2022; 12(2).
PMID: 35204816 PMC: 8869367. DOI: 10.3390/biom12020316.