Nucleic Acids Research, 2004, Vol. 32, Database issue D109-D111
© 2004 Oxford University Press
The microRNA Registry
The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 9SA, UK
*Tel: +44 1223 834244; Fax: +44 1223 494919; Email: sgj{at}sanger.ac.uk
Received July 24, 2003; Revised August 26, 2003; Accepted September 3, 2003
| ABSTRACT |
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The miRNA Registry provides a service for the assignment of miRNA gene names prior to publication. A comprehensive and searchable database of published miRNA sequences is accessible via a web interface (http://www.sanger.ac.uk/Software/Rfam/mirna/), and all sequence and annotation data are freely available for download. Release 2.0 of the database contains 506 miRNA entries from six organisms.
| INTRODUCTION |
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MicroRNAs (miRNAs) are a class of non-coding RNA gene whose products are
22 nt sequences that play important roles in the regulation of translation and degradation of mRNAs through base pairing to partially complementary sites in the untranslated regions (UTRs) of the message. Since the discovery of the founding members of the class, let-7 and lin-4 miRNAs in Caenorhabditis elegans (reviewed in 1), more than 300 miRNAs have been found in animals and plants (219). In animals, the expression of miRNAs has been shown to involve at least two processing steps (20). miRNAs are transcribed as long primary transcipts (pri-miRNAs), which may contain more than one miRNA. The primary transcript is processed in the nucleus to give one or more hairpin precursor sequences (pre-miRNAs). This processing step defines one end of the mature miRNA sequence, which is contained in one arm of the hairpin precursor. The hairpin precursor is exported to the cytoplasm where the mature miRNA is excised by the RNase III-like enzyme Dicer, suggesting a relationship with RNA interference (RNAi) (2123). The criteria for distinguishing miRNAs from other classes of RNA, such as small interferring RNAs (siRNAs) have recently been agreed by a number of miRNA scientists (24). The rapid rate of miRNA gene discovery has led to two basic needs for the miRNA community. To avoid inadvertant overlap, it is important for miRNA researchers to have access to an independent arbiter of gene names. In addition, a comprehensive and up-to-date repository for published miRNA sequences and annotation greatly facilitates the rapid development of computational approaches for the prediction of miRNA genes and targets, as well as aiding sequence and genome annotation. Several groups have recently published work on prediction of miRNAs in C.elegans (14,16) and human (17), and reports of prediction and verification of the mRNA targets of a number of miRNAs have started to emerge (12,25).
| AIMS OF THE miRNA REGISTRY |
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The primary aims of the miRNA Registry are two-fold. The first is to assign unique names to distinct miRNAs prior to publication of their discovery. A web interface has been developed to facilitate the submission of miRNA sequences for naming. To avoid accidental overlap of gene names, and to minimize pre-booking of assignments, the Registry will assign a name only after a paper describing the sequence has been accepted for publication. Authors are advised to use temporary names in initial submission of articles to journals for peer-review. On acceptance, final names are discussed and agreed with the corresponding author. The miRNA Registry maintains complete confidentiality for pre-publication data.
miRNAs are given numerical identifiers based on sequence similarity. At the time of writing, the last assigned name is miR-318 from Drosophila melanogaster. The next miRNA with no similarity to previously identified sequences will receive the name miR-319. It is desirable for homologues in different organisms to receive the same name. Names are based on the similarity of the excised
22 nt sequence to previously identified miRNAs. Identical mature sequences are assigned the same nameif they originate from seperate genomic loci in a given organism they are given numberical suffixes, such as mir-6-1 and mir-6-2 from D.melanogaster (4). Sequences with one or two base changes are assigned suffixes of the form miR-181a and miR-181b (17). Homologous sequences with more base differences may be suggested by sequence similarity in the hairpin portion of the primary transcript, and such cases are discussed and names agreed with the corresponding author. Some miRNA hairpin precursors give rise to two excised miRNAs, one from each arm. Different naming conventions have been used to describe these sequences. Where cloning studies have allowed researchers to determine which arm of the precursor gives rise to the predominantly expressed miRNA, an asterisk has been used to denote the less predominant form, as in miR-56 and miR-56* from C.elegans (2). Previous reports have also denoted miRNAs from opposite arms of the hairpin precursor as, for example, miR-142-s (5' arm) and miR-142-as (3' arm) (5). Current opinion favours using names of the form miR-142-5p and miR-142-3p to designate miRNAs from the 5' and 3' arms, respectively, until the data are sufficient to confirm which is predominantly expressed (T. Tuschl and D. Bartel, personal communication). Capitalisation of names should not be relied upon to confer meaning, but historically, mir-16 has been used to designate the gene (and also the predicted stemloop portion of the primary transcript), whereas miR-16 signifies the excised
22 nt sequence. Plant gene names follow a slightly different conventionof the form MIR156 (10).
The second aim of the miRNA Registry is to provide a comprehensive and searchable database of all published miRNA sequences. To this end, submitted sequences are moved to the public sections of the database on their publication. The website includes a browsable list of miRNA entries, name, keyword and publication searches, and allows the user to search a sequence against the database of predicted hairpins and mature miRNAs. Each database entry represents a predicted stemloop containing the miRNA, with the bounds of the excised sequence(s) reported. The publication describing the discovery of the miRNA is cited as the primary reference. A brief description of the genomic location, homologous sequences and possible targets is provided, with links to literature references for more information. Cross-links to nucleotide databases, model organism databases and RNA family databases are given. Hairpin base-paired structures are depicted as predicted by the RNAfold program from the ViennaRNA package (26). A typical entry page is shown in Figure 1.
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A commitment to the long-term curation of the miRNA Registry ensures the rapid dissemination of new sequence data and annotation. Each database entry is identified by a stable accession number in addition to the miRNA gene name. This enables the rationalisation of gene names as more data become available, whilst maintaining information for tracking changes from initial published names and descriptions. At the time of writing, the database contains only published miRNA loci, but miRNA annotation guidelines allow for the computational identification of homologues of validated miRNA sequences (24). The size of the database is likely to increase significantly as such sequences are curated by us and others. As more information becomes available about the biogenesis of miRNAs, we predict that it will become desirable to curate sequence information for the primary transcipt and the hairpin precursor, as well as the excised mature miRNA. Close integration with the Rfam database (27) facilitates the classification of related miRNA sequences into families.
| AVAILABILITY |
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The database is hosted by the Rfam (UK) website at http://www.sanger.ac.uk/Software/Rfam/mirna/ and is freely available to all. Predicted stemloop and mature miRNA sequence data are also available for download from the FTP site in FASTA format, and complete with annotation in EMBL format. Release 2.0 of the database (July 2003) contains 506 entries from C.elegans, Caenorhabditis briggsae, D.melanogaster, human, mouse and Arabidopsis thaliana. Queries and feedback, including data revisions are welcomed by email to microrna{at}sanger.ac.uk.
| ACKNOWLEDGEMENTS |
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I would like to thank Mhairi Marshall for web design and database support, and Simon Moxon for annotating many entries in the database. I am grateful to David Bartel, Tom Tuschl, Victor Ambros, Sean Eddy and Alex Bateman for their support and useful discussions, and David Bartel for critical manuscript reading.
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M. V.G. Latronico, D. Catalucci, and G. Condorelli Emerging Role of MicroRNAs in Cardiovascular Biology Circ. Res., December 7, 2007; 101(12): 1225 - 1236. [Abstract] [Full Text] [PDF] |
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S. Ro, R. Song, C. Park, H. Zheng, K. M. Sanders, and W. Yan Cloning and expression profiling of small RNAs expressed in the mouse ovary RNA, December 1, 2007; 13(12): 2366 - 2380. [Abstract] [Full Text] [PDF] |
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J. G. Ruby, A. Stark, W. K. Johnston, M. Kellis, D. P. Bartel, and E. C. Lai Evolution, biogenesis, expression, and target predictions of a substantially expanded set of Drosophila microRNAs Genome Res., December 1, 2007; 17(12): 1850 - 1864. [Abstract] [Full Text] [PDF] |
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F. Winter, S. Edaye, A. Huttenhofer, and C. Brunel Anopheles gambiae miRNAs as actors of defence reaction against Plasmodium invasion Nucleic Acids Res., November 29, 2007; 35(20): 6953 - 6962. [Abstract] [Full Text] [PDF] |
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S. Ikeda, S. W. Kong, J. Lu, E. Bisping, H. Zhang, P. D. Allen, T. R. Golub, B. Pieske, and W. T. Pu Altered microRNA expression in human heart disease Physiol Genomics, November 14, 2007; 31(3): 367 - 373. [Abstract] [Full Text] [PDF] |
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J. M. Calabrese, A. C. Seila, G. W. Yeo, and P. A. Sharp RNA sequence analysis defines Dicer's role in mouse embryonic stem cells PNAS, November 13, 2007; 104(46): 18097 - 18102. [Abstract] [Full Text] [PDF] |
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J. U. Pontius, J. C. Mullikin, D. R. Smith, Agencourt Sequencing Team, K. Lindblad-Toh, S. Gnerre, M. Clamp, J. Chang, R. Stephens, B. Neelam, et al. Initial sequence and comparative analysis of the cat genome Genome Res., November 1, 2007; 17(11): 1675 - 1689. [Abstract] [Full Text] [PDF] |
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Y. Guan, W.-L. Kuo, J. L. Stilwell, H. Takano, A. V. Lapuk, J. Fridlyand, J.-H. Mao, M. Yu, M. A. Miller, J. L. Santos, et al. Amplification of PVT1 Contributes to the Pathophysiology of Ovarian and Breast Cancer Clin. Cancer Res., October 1, 2007; 13(19): 5745 - 5755. [Abstract] [Full Text] [PDF] |
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S. Ro, C. Park, D. Young, K. M. Sanders, and W. Yan Tissue-dependent paired expression of miRNAs Nucleic Acids Res., September 27, 2007; 35(17): 5944 - 5953. [Abstract] [Full Text] [PDF] |
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A. Chakrabarty, S. Tranguch, T. Daikoku, K. Jensen, H. Furneaux, and S. K. Dey MicroRNA regulation of cyclooxygenase-2 during embryo implantation PNAS, September 18, 2007; 104(38): 15144 - 15149. [Abstract] [Full Text] [PDF] |
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C. Xu, Y. Lu, Z. Pan, W. Chu, X. Luo, H. Lin, J. Xiao, H. Shan, Z. Wang, and B. Yang The muscle-specific microRNAs miR-1 and miR-133 produce opposing effects on apoptosis by targeting HSP60, HSP70 and caspase-9 in cardiomyocytes J. Cell Sci., September 1, 2007; 120(17): 3045 - 3052. [Abstract] [Full Text] [PDF] |
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P. Jiang, H. Wu, W. Wang, W. Ma, X. Sun, and Z. Lu MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features Nucleic Acids Res., July 13, 2007; 35(suppl_2): W339 - W344. [Abstract] [Full Text] [PDF] |
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N. Baroukh, M. A. Ravier, M. K. Loder, E. V. Hill, A. Bounacer, R. Scharfmann, G. A. Rutter, and E. Van Obberghen MicroRNA-124a Regulates Foxa2 Expression and Intracellular Signaling in Pancreatic {beta}-Cell Lines J. Biol. Chem., July 6, 2007; 282(27): 19575 - 19588. [Abstract] [Full Text] [PDF] |
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K. P. Porkka, M. J. Pfeiffer, K. K. Waltering, R. L. Vessella, T. L.J. Tammela, and T. Visakorpi MicroRNA Expression Profiling in Prostate Cancer Cancer Res., July 1, 2007; 67(13): 6130 - 6135. [Abstract] [Full Text] [PDF] |
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C. Blenkiron and E. A. Miska miRNAs in cancer: approaches, aetiology, diagnostics and therapy Hum. Mol. Genet., April 15, 2007; 16(R1): R106 - R113. [Abstract] [Full Text] [PDF] |
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H. Liang and L. F. Landweber Hypothesis: RNA editing of microRNA target sites in humans? RNA, April 1, 2007; 13(4): 463 - 467. [Abstract] [Full Text] [PDF] |
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I. Beuvink, F. A. Kolb, W. Budach, A. Garnier, J. Lange, F. Natt, U. Dengler, J. Hall, W. Filipowicz, and J. Weiler A novel microarray approach reveals new tissue-specific signatures of known and predicted mammalian microRNAs Nucleic Acids Res., April 1, 2007; 35(7): e52 - e52. [Abstract] [Full Text] [PDF] |
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D. Sayed, C. Hong, I.-Y. Chen, J. Lypowy, and M. Abdellatif MicroRNAs Play an Essential Role in the Development of Cardiac Hypertrophy Circ. Res., February 16, 2007; 100(3): 416 - 424. [Abstract] [Full Text] [PDF] |
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M. Karali, I. Peluso, V. Marigo, and S. Banfi Identification and Characterization of MicroRNAs Expressed in the Mouse Eye Invest. Ophthalmol. Vis. Sci., February 1, 2007; 48(2): 509 - 515. [Abstract] [Full Text] [PDF] |
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S. J. Cooper, N. D. Trinklein, L. Nguyen, and R. M. Myers Serum response factor binding sites differ in three human cell types Genome Res., February 1, 2007; 17(2): 136 - 144. [Abstract] [Full Text] [PDF] |
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K. Woods, J. M. Thomson, and S. M. Hammond Direct Regulation of an Oncogenic Micro-RNA Cluster by E2F Transcription Factors J. Biol. Chem., January 26, 2007; 282(4): 2130 - 2134. [Abstract] [Full Text] [PDF] |
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S. A. Helvik, O. Snove Jr, and P. Saetrom Reliable prediction of Drosha processing sites improves microRNA gene prediction Bioinformatics, January 15, 2007; 23(2): 142 - 149. [Abstract] [Full Text] [PDF] |
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Z. Yu, Z. Jian, S.-H. Shen, E. Purisima, and E. Wang Global analysis of microRNA target gene expression reveals that miRNA targets are lower expressed in mature mouse and Drosophila tissues than in the embryos Nucleic Acids Res., January 12, 2007; 35(1): 152 - 164. [Abstract] [Full Text] [PDF] |
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P. W.-C. Hsu, L.-Z. Lin, S.-D. Hsu, J. B.-K. Hsu, and H.-D. Huang ViTa: prediction of host microRNAs targets on viruses Nucleic Acids Res., January 12, 2007; 35(suppl_1): D381 - D385. [Abstract] [Full Text] [PDF] |
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C. Johnson, L. Bowman, A. T. Adai, V. Vance, and V. Sundaresan CSRDB: a small RNA integrated database and browser resource for cereals Nucleic Acids Res., January 12, 2007; 35(suppl_1): D829 - D833. [Abstract] [Full Text] [PDF] |
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H. Wang, R. A. Ach, and B. Curry Direct and sensitive miRNA profiling from low-input total RNA RNA, January 1, 2007; 13(1): 151 - 159. [Abstract] [Full Text] [PDF] |
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P. L. Boutz, G. Chawla, P. Stoilov, and D. L. Black MicroRNAs regulate the expression of the alternative splicing factor nPTB during muscle development Genes & Dev., January 1, 2007; 21(1): 71 - 84. [Abstract] [Full Text] [PDF] |
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J. Mattes, M. Yang, and P. S. Foster Regulation of MicroRNA by Antagomirs: A New Class of Pharmacological Antagonists for the Specific Regulation of Gene Function? Am. J. Respir. Cell Mol. Biol., January 1, 2007; 36(1): 8 - 12. [Abstract] [Full Text] [PDF] |
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J. C. Ritland Politz, F. Zhang, and T. Pederson MicroRNA-206 colocalizes with ribosome-rich regions in both the nucleolus and cytoplasm of rat myogenic cells PNAS, December 12, 2006; 103(50): 18957 - 18962. [Abstract] [Full Text] [PDF] |
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R. A. Shivdasani MicroRNAs: regulators of gene expression and cell differentiation Blood, December 1, 2006; 108(12): 3646 - 3653. [Abstract] [Full Text] [PDF] |
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C. Anderson, H. Catoe, and R. Werner MIR-206 regulates connexin43 expression during skeletal muscle development Nucleic Acids Res., November 6, 2006; 34(20): 5863 - 5871. [Abstract] [Full Text] [PDF] |
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E. Berezikov, G. van Tetering, M. Verheul, J. van de Belt, L. van Laake, J. Vos, R. Verloop, M. van de Wetering, V. Guryev, S. Takada, et al. Many novel mammalian microRNA candidates identified by extensive cloning and RAKE analysis Genome Res., October 1, 2006; 16(10): 1289 - 1298. [Abstract] [Full Text] [PDF] |
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A. Mortazavi, E. C. L. Thompson, S. T. Garcia, R. M. Myers, and B. Wold Comparative genomics modeling of the NRSF/REST repressor network: From single conserved sites to genome-wide repertoire Genome Res., October 1, 2006; 16(10): 1208 - 1221. [Abstract] [Full Text] [PDF] |
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Y. Tsuchiya, M. Nakajima, S. Takagi, T. Taniya, and T. Yokoi MicroRNA Regulates the Expression of Human Cytochrome P450 1B1. Cancer Res., September 15, 2006; 66(18): 9090 - 9098. [Abstract] [Full Text] [PDF] |
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S. P. Jonstrup, J. Koch, and J. Kjems A microRNA detection system based on padlock probes and rolling circle amplification RNA, September 1, 2006; 12(9): 1747 - 1752. [Abstract] [Full Text] [PDF] |
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K. Bjork, S. T. Saarikoski, C. Arlinde, L. Kovanen, D. Osei-Hyiaman, M. Ubaldi, M. Reimers, P. Hyytia, M. Heilig, and W. H. Sommer Glutathione-S-transferase expression in the brain: possible role in ethanol preference and longevity FASEB J, September 1, 2006; 20(11): 1826 - 1835. [Abstract] [Full Text] [PDF] |
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