miRPathDB: a new dictionary on microRNAs and target pathways

被引:100
作者
Backes, Christina [1 ]
Kehl, Tim [2 ]
Stoeckel, Daniel [2 ]
Fehlmann, Tobias [1 ]
Schneider, Lara [2 ]
Meese, Eckart [3 ]
Lenhof, Hans-Peter [2 ]
Keller, Andreas [1 ]
机构
[1] Univ Saarland, Chair Clin Bioinformat, Saarland Informat Campus, D-66123 Saarbrucken, Germany
[2] Univ Saarland, Chair Bioinformat, Saarland Informat Campus, D-66123 Saarbrucken, Germany
[3] Univ Saarland, Human Genet, D-66421 Homburg, Germany
关键词
GENES; TOOLS;
D O I
10.1093/nar/gkw926
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In the last decade, miRNAs and their regulatory mechanisms have been intensively studied and many tools for the analysis of miRNAs and their targets have been developed. We previously presented a dictionary on single miRNAs and their putative target pathways. Since then, the number of miRNAs has tripled and the knowledge on miRNAs and targets has grown substantially. This, along with changes in pathway resources such as KEGG, leads to an improved understanding of miRNAs, their target genes and related pathways. Here, we introduce the miRNA Pathway Dictionary Database (miRPathDB), freely accessible at https://mpd.bioinf.uni-sb.de/. With the database we aim to complement available target pathway web-servers by providing researchers easy access to the information which pathways are regulated by a miRNA, which miRNAs target a pathway and how specific these regulations are. The database contains a large number of miRNAs (2595 human miRNAs), different miRNA target sets (14 773 experimentally validated target genes as well as 19 281 predicted targets genes) and a broad selection of functional biochemical categories (KEGG-, WikiPathways-, BioCarta-, SMPDB-, PID-, Reactome pathways, functional categories from gene ontology (GO), protein families from Pfam and chromosomal locations totaling 12 875 categories). In addition to Homo sapiens, also Mus musculus data are stored and can be compared to human target pathways.
引用
收藏
页码:D90 / D96
页数:7
相关论文
共 28 条
[1]   Predicting effective microRNA target sites in mammalian mRNAs [J].
Agarwal, Vikram ;
Bell, George W. ;
Nam, Jin-Wu ;
Bartel, David P. .
ELIFE, 2015, 4
[2]   Bioinformatic tools for microRNA dissection [J].
Akhtar, Most Mauluda ;
Micolucci, Luigina ;
Islam, Md Soriful ;
Olivieri, Fabiola ;
Procopio, Antonio Domenico .
NUCLEIC ACIDS RESEARCH, 2016, 44 (01) :24-44
[3]   microRNAs: Tiny regulators with great potential [J].
Ambros, V .
CELL, 2001, 107 (07) :823-826
[4]  
[Anonymous], 2004, CURR PROTOC BIOINFOR, DOI [10.1002/0471250953.bi0807s7, DOI 10.1002/0471250953.BI0807S7]
[5]  
[Anonymous], The USENIX Magazine, V36 36, P42, DOI DOI 10.5281/ZENODO.16303
[6]  
[Anonymous], 2004, BIOCARTA BIOTECH SOF
[7]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[8]   GeneTrail -: advanced gene set enrichment analysis [J].
Backes, Christina ;
Keller, Andreas ;
Kuentzer, Jan ;
Kneissl, Benny ;
Comtesse, Nicole ;
Elnakady, Yasser A. ;
Mueller, Rolf ;
Meese, Eckart ;
Lenhof, Hans-Peter .
NUCLEIC ACIDS RESEARCH, 2007, 35 :W186-W192
[9]   A dictionary on microRNAs and their putative target pathways [J].
Backes, Christina ;
Meese, Eckart ;
Lenhof, Hans-Peter ;
Keller, Andreas .
NUCLEIC ACIDS RESEARCH, 2010, 38 (13) :4476-4486
[10]  
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkh121, 10.1093/nar/gkr1065]