Literature DB >> 15608165

UTRdb and UTRsite: a collection of sequences and regulatory motifs of the untranslated regions of eukaryotic mRNAs.

Flavio Mignone1, Giorgio Grillo, Flavio Licciulli, Michele Iacono, Sabino Liuni, Paul J Kersey, Jorge Duarte, Cecilia Saccone, Graziano Pesole.   

Abstract

The 5' and 3' untranslated regions of eukaryotic mRNAs play crucial roles in the post-transcriptional regulation of gene expression through the modulation of nucleo-cytoplasmic mRNA transport, translation efficiency, subcellular localization and message stability. UTRdb is a curated database of 5' and 3' untranslated sequences of eukaryotic mRNAs, derived from several sources of primary data. Experimentally validated functional motifs are annotated (and also collated as the UTRsite database) and cross-links to genomic and protein data are provided. The integration of UTRdb with genomic and protein data has allowed the implementation of a powerful retrieval resource for the selection and extraction of UTR subsets based on their genomic coordinates and/or features of the protein encoded by the relevant mRNA (e.g. GO term, PFAM domain, etc.). All internet resources implemented for retrieval and functional analysis of 5' and 3' untranslated regions of eukaryotic mRNAs are accessible at http://www.ba.itb.cnr.it/UTR/.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15608165      PMCID: PMC539975          DOI: 10.1093/nar/gki021

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


INTRODUCTION

One of the main challenges of the post-genomic era is the understanding of the mechanisms that control the spatio-temporal regulation of gene expression. The fate of newly synthesized mRNA with respect to its nucleo-cytoplasmic transport, stability, translation efficiency and subcellular localization is determined at the post-transcriptional level. Such regulation is mostly mediated by cis-acting elements located in the 5′ and 3′ untranslated regions of mRNAs (5′ UTR and 3′ UTR) (1). In several cases, specific functional sequence elements have been identified and characterized. These usually correspond to short oligonucleotide tracts whose biological activity relies on a combination of their primary sequence and specific secondary structure. These motifs act either as target sites for RNA-binding factors or interact directly with the translation machinery. The availability of a large collection of functionally related sequences—such as UTRs—is invaluable for the inference of structural and compositional features and for the identification of conserved candidate regulatory motifs. For this reason, we have developed UTRdb, a collection of 5′ and 3′ UTR sequences derived from eukaryotic mRNAs. Sequences collated in UTRdb were generated by custom software. UTRdb is a non-redundant database and annotation includes information not available in the primary databases such as genome localization and structure and presence of known regulatory elements. We have also created UTRsite, a collection of regulatory elements located in 5′ and 3′ UTRs whose function and structure have been experimentally determined and published. The UTRsite collection may prove useful in automatic annotation projects of unknown sequences as well as for finding previously undetected signals in known sequences. For the most recent release of the UTRdb and UTRsite databases, we have focused on the improvement of data quality, increasing the degree of integration with other resources and the incorporation of genome-related facilities. Besides a new graphical interface, we have introduced new specific UTR collections: (i) UTRef from RefSeq database (2); (ii) UTRait from TRAIT database of muscle-specific transcripts (3); and (iii) UTRexp, a collection of UTR sequences whose functional activity has been experimentally investigated (see below for details). The UTRsite collection of functional motifs has also been significantly expanded. Moreover, we have mapped human UTRs on genome assemblies, facilitating the direct comparison and integration of several annotated genomic features available through batch queries of Ensembl databases. The integration of UTRs and protein/genomic resources is potent in that it allows the retrieval of specific UTR subsets based on their genomic coordinates and/or features associated with the encoded proteins (e.g. GO terms, PFAM domains, etc.).

GENERATION OF UTRdb AND ITS INTEGRATION WITH OTHER DATABASES

UTRdb entries are automatically generated through the accurate parsing of the Feature Table of entries in primary databases (e.g. EMBL). Entry curation includes the detection of contaminating vector sequences, the removal of sequence redundancy and the annotation of repetitive elements and known regulatory motifs collected in the UTRsite database. Details of this process can be found in (4). The current release of UTRdb contains three further specialized divisions: UTRef, UTRait and UTRexp. Sequences collected in UTRef and UTRait have been generated from the RefSeq (2) and TRAIT (3) databases, respectively. UTRexp contains UTRs that have been investigated experimentally and shown to contain functional motifs. Some of these sequences are not present in primary sequence databases and have been manually extracted from literature resources. In the current release, we have also determined the genomic coordinates of human UTR sequences using the program BLAT (5) with the human genome assembly (Release NCBI 34). Only those UTRs that unambiguously mapped to a single genomic location were considered. Exonic structure of mapped UTRs was then refined by applying the program Spidey (6) to compare the UTR and its corresponding genomic location. We have tried to associate each mapped UTR to the specific protein encoded by the corresponding mRNA using the relevant Ensembl coordinates. A protein was defined a ‘neighbor’ of a 5′ UTR if its start site corresponds to the end of the 5′ UTR sequence (and the converse for 3′ UTRs) Once the neighbor protein of a given UTR entry had been defined, we were also able to identify the Ensembl transcripts cross-referenced to the neighbor protein. If, for a given UTR entry, no annotated protein matched our criteria, we associated any Ensembl gene overlapping the same genomic region with the UTR. The cross-referencing of UTRs and Ensembl features (protein, transcript, gene) provides a valuable resource as UTRs automatically inherit the large body of functional features annotated with the Ensembl project (7). We have also endeavored to cross-link the UTRdb human division with IPI (International Protein Index) (8), which contains a complete non-redundant data set representing the human proteome, derived from different curated protein databases. In future releases of UTRdb, we plan to extend the cross-referencing between UTRs and protein/genomic resources to all other organisms included in Ensembl. UTRdb entries (see Figure 1 for an example) are annotated for the occurrence of regulatory motifs whose activity has been assessed by experimental investigation, located in the 5′ or 3′ UTR of eukaryotic mRNAs. All these motifs are collected in the UTRsite database. Each UTRsite entry (Figure 2) is prepared/reviewed/updated by expert scientists (in many cases, those who performed the experimental analysis). We have now developed a Submission Tool for the generation/management/update of UTRsite entries (Figure 3). This tool allows selected annotators, to annotate/update all the information in the entry in a user-friendly manner via a personal login.
Figure 1

Sample entry of UTRdb database. The Genomic Features section includes information on genome mapping coordinates and links to the related transcript and protein sequences.

Figure 2

Sample UTRsite entry. The General Information section includes the pattern syntax of the regulatory motif in a format suitable for PatSearch analysis (9) and the number of hits/kb randomly expected in a sequence collection of the same nucleotide composition of UTRdb. The cross-link to the RFAM database (10) if available is also provided.

Figure 3

Home page of the Submission Tool for the management of UTRsite entries. The ‘Guest’ login only gives access to the ‘View’ option, whereas the ‘Annotator’ login allows to ‘Edit/Create’ UTRsite entries.

The databases UTRdb, UTRsite and the new specific UTR collections (UTRef, UTRait, UTRexp) have been organized into MySQL relational database management system.

UTRdb CONTENT

The main section of UTRdb (Release 19) contains nine sequence collections, one for each of the eukaryotic divisions of the EMBL nucleotide database (Release 78), namely (i) human; (ii) mouse; (ii) rodent; (iv) other mammal; (v) other vertebrate; (vi) invertebrate; (vii) plant; (viii) fungi; and (ix) virus. UTRef was generated from Reference Sequence collections (RefSeq Rel. 3). Table 1 reports a summary description of UTRdb which contains 298 036 entries and 128 286 081 nucleotides. UTRsite collects a total of 52 regulatory motifs, including upstream Open Reading Frames (uORFs) with known regulatory activity, whose occurrences have been annotated in 30 370 entries of UTRef collection.
Table 1.

Number of unique 5′ and 3′ UTR entries in the different UTRdb sections and of annotated UTRsite motifs (release 19.0)

 5′UTR3′UTRTotal
UTRdb139.019159.017298.036
UTRef83.32687.969171.295
UTRait6.290557011.860
UTRexp183452
UTR-Genome18.86426.90345.767
Neighbor proteins25.36225.64851.010
UTRSite  52

AVAILABILITY OF UTRdb

UTRdb and UTRsite are accessible through an SRS retrieval system, which has been updated to include the new fields added. In particular, all the information derived from genome mapping of UTRs, the IPI cross-link, and cross-referencing to ‘neighbor proteins’ and Ensembl genes/transcripts is available through a new field named ‘Genomic Features’ as reported in Figure 1. It is also possible to browse these fields by querying the SRS ‘Extended query form’ where relevant query fields have been added. In addition, to access all of the information indirectly linked to UTRs, we have developed a custom browsing system—the ‘UTR genome browser’ (Figure 4). Through this retrieval system, it is possible to select and extract specific UTR subsets defined by accession numbers derived from a variety of databases including IPI (8), Interpro (11), GO (12), GENEW (13), MIM (14), etc. as well as by genomic coordinates.
Figure 4

Home page of the UTRgenome browser for the retrieval of UTR subset based on their genomic coordinates and/or features of the protein encoded by the corresponding mRNAs.

The user can choose to download selected entries in Fasta format or to display a summary of their relevant genomic features, including genomic coordinates and cross-references to a variety of genomic resources. A graphical representation displays selected UTRs in terms of genomic coordinates and shows other human UTRs, cDNAs, proteins and ESTs in the same genome location. With this new tool, it is now possible to obtain specific UTR subsets from mRNAs coding for proteins of a selected protein family, containing a specific domain or belonging to a specific GO class. Further investigations of such homogeneous sets of UTRs may allow the identification of common features or conserved regions whose potential functional activity may then be experimentally characterized. Further on-line utilities are UTRscan and UTRblast. The UTRscan feature allows the enquirer to search user submitted sequences for any of the motifs collected in UTRsite. The UTRblast utility allows database searches against any of the UTRdb sections. UTRdb, UTRsite and other related resources are publicly available at http://www.ba.itb.cnr.it/UTR/.
  14 in total

1.  UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs. Update 2002.

Authors:  Graziano Pesole; Sabino Liuni; Giorgio Grillo; Flavio Licciulli; Flavio Mignone; Carmela Gissi; Cecilia Saccone
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  BLAT--the BLAST-like alignment tool.

Authors:  W James Kent
Journal:  Genome Res       Date:  2002-04       Impact factor: 9.043

3.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  The InterPro Database, 2003 brings increased coverage and new features.

Authors:  Nicola J Mulder; Rolf Apweiler; Teresa K Attwood; Amos Bairoch; Daniel Barrell; Alex Bateman; David Binns; Margaret Biswas; Paul Bradley; Peer Bork; Phillip Bucher; Richard R Copley; Emmanuel Courcelle; Ujjwal Das; Richard Durbin; Laurent Falquet; Wolfgang Fleischmann; Sam Griffiths-Jones; Daniel Haft; Nicola Harte; Nicolas Hulo; Daniel Kahn; Alexander Kanapin; Maria Krestyaninova; Rodrigo Lopez; Ivica Letunic; David Lonsdale; Ville Silventoinen; Sandra E Orchard; Marco Pagni; David Peyruc; Chris P Ponting; Jeremy D Selengut; Florence Servant; Christian J A Sigrist; Robert Vaughan; Evgueni M Zdobnov
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  Rfam: an RNA family database.

Authors:  Sam Griffiths-Jones; Alex Bateman; Mhairi Marshall; Ajay Khanna; Sean R Eddy
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

6.  NCBI Reference Sequence project: update and current status.

Authors:  Kim D Pruitt; Tatiana Tatusova; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

7.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.

Authors:  Ada Hamosh; Alan F Scott; Joanna Amberger; Carol Bocchini; David Valle; Victor A McKusick
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

8.  Genew: the Human Gene Nomenclature Database, 2004 updates.

Authors:  Hester M Wain; Michael J Lush; Fabrice Ducluzeau; Varsha K Khodiyar; Sue Povey
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

9.  PatSearch: A program for the detection of patterns and structural motifs in nucleotide sequences.

Authors:  Giorgio Grillo; Flavio Licciulli; Sabino Liuni; Elisabetta Sbisà; Graziano Pesole
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 10.  Untranslated regions of mRNAs.

Authors:  Flavio Mignone; Carmela Gissi; Sabino Liuni; Graziano Pesole
Journal:  Genome Biol       Date:  2002-02-28       Impact factor: 13.583

View more
  83 in total

1.  Identification and characterization of putative methylation targets in the MAOA locus using bioinformatic approaches.

Authors:  Elena Shumay; Joanna S Fowler
Journal:  Epigenetics       Date:  2010-05-05       Impact factor: 4.528

2.  Genes expressed during the development and ripening of watermelon fruit.

Authors:  A Levi; A Davis; A Hernandez; P Wechter; J Thimmapuram; T Trebitsh; Y Tadmor; N Katzir; V Portnoy; S King
Journal:  Plant Cell Rep       Date:  2006-06-27       Impact factor: 4.570

Review 3.  Cytoplasmatic post-transcriptional regulation and intracellular signalling.

Authors:  Per Sunnerhagen
Journal:  Mol Genet Genomics       Date:  2007-03-01       Impact factor: 3.291

4.  Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures.

Authors:  Alexander Stark; Michael F Lin; Pouya Kheradpour; Jakob S Pedersen; Leopold Parts; Joseph W Carlson; Madeline A Crosby; Matthew D Rasmussen; Sushmita Roy; Ameya N Deoras; J Graham Ruby; Julius Brennecke; Emily Hodges; Angie S Hinrichs; Anat Caspi; Benedict Paten; Seung-Won Park; Mira V Han; Morgan L Maeder; Benjamin J Polansky; Bryanne E Robson; Stein Aerts; Jacques van Helden; Bassem Hassan; Donald G Gilbert; Deborah A Eastman; Michael Rice; Michael Weir; Matthew W Hahn; Yongkyu Park; Colin N Dewey; Lior Pachter; W James Kent; David Haussler; Eric C Lai; David P Bartel; Gregory J Hannon; Thomas C Kaufman; Michael B Eisen; Andrew G Clark; Douglas Smith; Susan E Celniker; William M Gelbart; Manolis Kellis
Journal:  Nature       Date:  2007-11-08       Impact factor: 49.962

5.  MicroRNA target detection and analysis for genes related to breast cancer using MDLcompress.

Authors:  Scott C Evans; Antonis Kourtidis; T Stephen Markham; Jonathan Miller; Douglas S Conklin; Andrew S Torres
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

6.  Identification of gene 3' ends by automated EST cluster analysis.

Authors:  Enrique M Muro; Robert Herrington; Salima Janmohamed; Catherine Frelin; Miguel A Andrade-Navarro; Norman N Iscove
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-18       Impact factor: 11.205

7.  Effect of single-nucleotide polymorphisms of the 5' untranslated region of the human α-galactosidase gene on enzyme activity, and their frequencies in Portuguese caucasians.

Authors:  J P Oliveira; S Ferreira; J Barceló; P Gaspar; F Carvalho; M C Sá Miranda; J-E Månsson
Journal:  J Inherit Metab Dis       Date:  2008-11-03       Impact factor: 4.982

8.  Non-coding RNAs revealed during identification of genes involved in chicken immune responses.

Authors:  Marie-Laure Endale Ahanda; Thomas Ruby; Håkan Wittzell; Bertrand Bed'Hom; Anne-Marie Chaussé; Veronique Morin; Anne Oudin; Catherine Chevalier; John R Young; Rima Zoorob
Journal:  Immunogenetics       Date:  2008-11-14       Impact factor: 2.846

9.  Molecular cloning, expression analysis and chromosome localization of the Tpt1 gene coding for the pig translationally controlled tumor protein (TCTP).

Authors:  Noemí Yubero; Gloria Esteso; Henry Cardona; Luis Morera; Juan J Garrido; Manuel Barbancho
Journal:  Mol Biol Rep       Date:  2008-11-05       Impact factor: 2.316

10.  Ontology and diversity of transcript-associated microsatellites mined from a globe artichoke EST database.

Authors:  Davide Scaglione; Alberto Acquadro; Ezio Portis; Christopher A Taylor; Sergio Lanteri; Steven J Knapp
Journal:  BMC Genomics       Date:  2009-09-28       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.