Prediction of microRNA targets

被引:211
作者
Maziere, Pierre [1 ]
Enright, Anton J. [1 ]
机构
[1] Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England
关键词
D O I
10.1016/j.drudis.2007.04.002
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Recently, microRNAs (miRNAs) have been shown to be important regulators of genes in many organisms and have already been implicated in a growing number of diseases. MiRNAs are short (21-23 nucleotides) RNAs that bind to the 3' untranslated regions of target genes. This binding event causes translational repression of the target gene and, evidence now suggests, also stimulates rapid degradation of the target transcript. miRNAs represent a new species of regulator, controlling the levels of potentially large numbers of proteins, many of which might be important drug targets. The expression of miRNAs shows that they are highly differentially expressed, with specific miRNAs active in certain tissues at certain times. In many cancers, miRNA expression is significantly altered, and this has been shown to be a useful diagnostic tool. Several computational approaches have been developed for the prediction of miRNA targets.
引用
收藏
页码:452 / 458
页数:7
相关论文
共 38 条
[11]   Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs [J].
Giraldez, AJ ;
Mishima, Y ;
Rihel, J ;
Grocock, RJ ;
Van Dongen, S ;
Inoue, K ;
Enright, AJ ;
Schier, AF .
SCIENCE, 2006, 312 (5770) :75-79
[12]   MicroRNAs regulate brain morphogenesis in zebrafish [J].
Giraldez, AJ ;
Cinalli, RM ;
Glasner, ME ;
Enright, AJ ;
Thomson, JM ;
Baskerville, S ;
Hammond, SM ;
Bartel, DP ;
Schier, AF .
SCIENCE, 2005, 308 (5723) :833-838
[13]   miRBase: microRNA sequences, targets and gene nomenclature [J].
Griffiths-Jones, Sam ;
Grocock, Russell J. ;
van Dongen, Stijn ;
Bateman, Alex ;
Enright, Anton J. .
NUCLEIC ACIDS RESEARCH, 2006, 34 :D140-D144
[14]   The Ensembl genome database project [J].
Hubbard, T ;
Barker, D ;
Birney, E ;
Cameron, G ;
Chen, Y ;
Clark, L ;
Cox, T ;
Cuff, J ;
Curwen, V ;
Down, T ;
Durbin, R ;
Eyras, E ;
Gilbert, J ;
Hammond, M ;
Huminiecki, L ;
Kasprzyk, A ;
Lehvaslaiho, H ;
Lijnzaad, P ;
Melsopp, C ;
Mongin, E ;
Pettett, R ;
Pocock, M ;
Potter, S ;
Rust, A ;
Schmidt, E ;
Searle, S ;
Slater, G ;
Smith, J ;
Spooner, W ;
Stabenau, A ;
Stalker, J ;
Stupka, E ;
Ureta-Vidal, A ;
Vastrik, I ;
Clamp, M .
NUCLEIC ACIDS RESEARCH, 2002, 30 (01) :38-41
[15]   Human MicroRNA targets [J].
John, B ;
Enright, AJ ;
Aravin, A ;
Tuschl, T ;
Sander, C ;
Marks, DS .
PLOS BIOLOGY, 2004, 2 (11) :1862-1879
[16]   METHODS FOR ASSESSING THE STATISTICAL SIGNIFICANCE OF MOLECULAR SEQUENCE FEATURES BY USING GENERAL SCORING SCHEMES [J].
KARLIN, S ;
ALTSCHUL, SF .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1990, 87 (06) :2264-2268
[17]   miTarget: microRNA target gene prediction using a support vector machine [J].
Kim, Sung-Kyu ;
Nam, Jin-Wu ;
Rhee, Je-Keun ;
Lee, Wha-Jin ;
Zhang, Byoung-Tak .
BMC BIOINFORMATICS, 2006, 7 (1)
[18]   A combined computational-experimental approach predicts human microRNA targets [J].
Kiriakidou, M ;
Nelson, PT ;
Kouranov, A ;
Fitziev, P ;
Bouyioukos, C ;
Mourelatos, Z ;
Hatzigeorgiou, A .
GENES & DEVELOPMENT, 2004, 18 (10) :1165-1178
[19]   Combinatorial microRNA target predictions [J].
Krek, A ;
Grun, D ;
Poy, MN ;
Wolf, R ;
Rosenberg, L ;
Epstein, EJ ;
MacMenamin, P ;
da Piedade, I ;
Gunsalus, KC ;
Stoffel, M ;
Rajewsky, N .
NATURE GENETICS, 2005, 37 (05) :495-500
[20]   Identification of tissue-specific microRNAs from mouse [J].
Lagos-Quintana, M ;
Rauhut, R ;
Yalcin, A ;
Meyer, J ;
Lendeckel, W ;
Tuschl, T .
CURRENT BIOLOGY, 2002, 12 (09) :735-739