Literature DB >> 15608257

Entrez Gene: gene-centered information at NCBI.

Donna Maglott1, Jim Ostell, Kim D Pruitt, Tatiana Tatusova.   

Abstract

Entrez Gene (www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene) is NCBI's database for gene-specific information. It does not include all known or predicted genes; instead Entrez Gene focuses on the genomes that have been completely sequenced, that have an active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is updated as new information becomes available. Entrez Gene is a step forward from NCBI's LocusLink, with both a major increase in taxonomic scope and improved access through the many tools associated with NCBI Entrez.

Entities:  

Mesh:

Year:  2005        PMID: 15608257      PMCID: PMC539985          DOI: 10.1093/nar/gki031

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


INTRODUCTION

Entrez Gene is the gene-specific database at the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM), located on the campus of the US National Institutes of Health (NIH) in Bethesda, MD, USA. Entrez Gene provides unique integer identifiers for genes and other loci for a subset of model organisms. It tracks those identifiers, and is integrated with the Entrez system for interactive query, LinkOuts, and access by E-utilities (1). The information that is maintained includes nomenclature, chromosomal localization, gene products and their attributes (e.g. protein interactions), associated markers, phenotypes, interactions, and a wealth of links to citations, sequences, variation details, maps, expression reports, homologs, protein domain content and external databases. Data in Entrez Gene result from a mixture of curation and automated analyses. Annotation in sequences from NCBI's Reference sequence project (2) or the International Nucleotide Sequence Database Collaboration (DDBJ, EMBL, GenBank) (3) is integrated with information from collaborating model organism databases, literature review (especially the Gene References into Function or GeneRIFs) (1), and public users, with curation by RefSeq staff as required. Entrez Gene is an integral part of representation of gene-specific information at NCBI. The information conveyed by establishing a ‘gene-to-sequence’ relationship is used by other NCBI resources (1) such as BLAST, Geo, HomoloGene, Map Viewer, UniGene, UniSTS and NCBI's genome annotation pipeline. For example, the names associated with GeneIDs are used in HomoloGene, Map Viewer, UniGene and the Mammalian Gene Collection (4). Inconsistencies in representation of genes and their sequences are investigated, and resolved by NCBI staff in collaboration with external nomenclature authorities. The content, display and bulk reporting from Entrez Gene continue to be developed. Users may be interested in subscribing to gene-announce@ncbi.nlm.nih.gov to receive information about modifications.

FUNCTION OF THE DATABASE

The primary goals of Entrez Gene are to provide tracked, unique identifiers for genes and to report information associated with those identifiers for unrestricted public use. The identifier that is assigned (GeneID) is an integer, and is species specific. In other words, the integer assigned to dystrophin in human is different from that in any other species. For genomes that had been represented in LocusLink, the GeneID is the same as the LocusID. The GeneID is reported in RefSeq records as a ‘db_xref’ (e.g. /db_xref=“GeneID:856646”, in GenBank format). Entrez Gene provides multiple reports. For the interactive user, the defaults are the HTML summary display resulting from an Entrez query (Figure 1) or a gene-specific report achieved by clicking on the symbol in the summary page (Figure 2). The Gene Table display option is useful to obtain a report of the intron/exon organization of the gene as annotated on a RefSeq genomic sequence, and to navigate quickly to the sequence of any of those gene features. In addition to the multiple views from Entrez, Gene provides a complete database extraction in ASN.1 format as well as several tab-delimited reports for ftp transfer (ftp://ftp.ncbi.nlm.nih.gov/gene/). The data are also available from the programmatic interface to Entrez, namely e-utilities (1).
Figure 1

Summary view of query results. The query is collagen ix “alpha 2”. The phrase alpha 2 is submitted in double quotes to restrict the query for alpha followed by 2. Note that the box ‘current records only’ (A) is checked automatically; to retrieve outdated records, this box must be unchecked. The default Summary display option allows gene-specific links to many other resources both within NCBI's Entrez system and not (LinkOut, MGC cDNA clone) via the Links menu (shown expanded, B). The summary includes the species of origin, preferred and alternate (Other aliases) symbols, preferred and other (Other designations) descriptive names, chromosome localization, the GeneID. Click on any symbol to the left of the check box (C) to link to the full report (Figure 2). The top black navigation bar and the blue sidebar at the left provide general links to other sites, including Genome-specific resource guides (Genomic Biology), the FTP site, forms to submit feedback (Feedback), and forms to subscribe to mail lists to be informed of changes (Subscriptions).

Figure 2

Partial report page. The standard gene-specific report page starts with the preferred symbol (name) and description of the gene, the species and the ID. As appropriate, it provides links to key external resource, using the label ‘Locus tag’ consistent with feature annotation of a GenBank record. If the gene has been annotated on a RefSeq genomic sequence (NT_004511), a graphic is provided showing the placement of the gene and those of its neighbors. The accessions assigned to the mRNA and proteins are shown at the left and right respectively (NM_001852, NP_001843 in this case). Clicking on any of these accessions opens a menu of options to obtain the sequence. The menu attached to the protein accession (A) shows that you can link to the sequence in either FASTA, GenBank or graphical format, or use BLink (1) to display information about related proteins, or conserved domains. The Links menu at the upper right corner of the complete record (expanded in B) indicates what resources have information related specifically to this gene. Some of these links are the same as those seen on the summary display (Figure 1), but there are often additional Links to information not accessible directly from Entrez.

SCOPE OF THE DATABASE

When are GeneIDs assigned?

Identifiers are always assigned to what is annotated as a Gene on a RefSeq record. Records may also be created when an authoritative source for a genome assigns an identifier to a gene, mapped locus or trait, even though that entity is not yet defined by explicit sequence. Although this means that Entrez Gene is not restricted to what might be considered a gene biologically, the expectation is that some of these records will become more ‘gene-like’ as the molecular basis of traits or other loci is defined. Each Gene record is assigned a type from an enumerated list in the ASN.1 specification for Entrez Gene. (See the Gene Help document for more information.) This type, which is indexed in Entrez as a named property (e.g. genetype protein coding), can be changed without changing the GeneID.

Some current statistics

As of September 2004, there were more than 2400 taxa represented in Entrez Gene, with a total of approximately 958 000 current records. Not all the taxa are completely represented in Entrez Gene; most of the eukaryotes (∼600 total), for example, have Gene records only for their mitochondrial genomes. More than half of the taxa represented are viruses (∼1350). Next of those having genomes with comprehensive gene annotation are eubacteria and Archaea (∼200 and 20, respectively). About 95 per cent of all records are for protein-coding genes.

Record content

Table 1 summarizes the gene-specific information that can be retrieved through Entrez Gene, how the data are shown, and some aspects of how those data are processed. For example, GeneRIFs, contributed primarily by the public and the Index Section of the National Library of Medicine, provide an annotated bibliography of the function, discovery and mapping of genes from the current literature and are seen in the default report. Information about Clusters of Orthologous Groups (COGs) (5) is available via Links menus. This combination of text and connections is designed to provide sufficient descriptions, keywords and links to make Entrez Gene an effective starting place to retrieve information of interest.
Table 1.

Categories of information in Entrez Gene

SubcategoryShownaComments
Nomenclature  
 Gene symbols and full descriptionsReport, TableSources: External authorities, GenBank, Publications. ‘LOC’+GeneID designation assigned if none of the above officially accepted nomenclature has precedence
 Protein namesReport, TableOften same as the gene name, but may be edited to make orthologs' names uniform
Gene structure and sequence  
 Gene structureReport, TableBased on annotation of the Reference sequence
 Reference sequencesReport, Table, LinksThe accessions are shown in the report page; the sequences are retrieved from Nucleotide or Protein
 Related sequencesReport, LinksBased on cDNA or protein comparison, best genomic placement and curation. Accessions are shown in the report page; sequences are retrieved from Nucleotide or Protein
Genomic position  
 By sequenceReport, LinksGenomic annotation
 By independent mapsLinksShared markers or reports of cytogenetic position
Citations  
 Not annotatedLinksSources: external authorities, RefSeq curation
 AnnotatedReport, LinksSources: external databases, GeneRIFs
Functional annotation  
 Domain contentReport, LinksConserved Domain Database (CDD)
 GO termsReportGO Consortium
 Pathways and interactionsReport, LinksKEGG, HIV Interactions Database
 Disease and other phenotypesReport, LinksExternal authorities such as OMIM, RefSeq curation
Homology  
 By GeneLinksHomoloGene
 By ProteinLinksCOG
 Conserved segmentsLinksMap Viewer
Expression  
 ESTsLinksUniGene
 External resourcesLinksExternal resource is named and used to anchor a Link. The expression data are available at that source
 ArraysLinksGEO
Related information  
 Integrated by Gene staffLinksMay be displayed on report as well as from Links menu
 External sourcesLinksLinkOut choice in Links menu

aWhere information is shown: Report, Graphic Display; Table, Gene Table Display; Links, Links menu.

ACCESS TO ENTREZ GENE

The information in Entrez Gene can be accessed in multiple ways at NCBI (Table 2). The most direct is to submit a query to Entrez from the NCBI home page and display the results in Gene, or enter a query in any Entrez query bar and restrict the database search to Gene. Another way is to take advantage of the Links computed by the Entrez system. For example, you might find a PubMed record of interest, and from PubMed's Links menu discover that there is a record in Gene connected to the publication.
Table 2.

Accessing Entrez Gene

Direct query—detailed instructions in the Query tips section of the online help documentation:
http://www.ncbi.nlm.nih.gov/entrez/query/static/help/genehelp.html#query 
  www.ncbi.nlm.nih.gov/Entrez/ or www.ncbi.nlm.nih.govEnter search term(s) and select results shown in the Gene section
  www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene or select Gene as the search option from any Entrez query barEnter search term(s)
Record-specific connections in other NCBI databases 
 Gene option in the Links menu at the upper right of a display in a non-Gene recordClick on Gene to find Gene records related to the record being displayed
 Links called Gene or GMap Viewer's annotation of Genes; BLAST retrieval of accessions connected to Gene records
Many databases within NCBI take advantage of the GeneID<->sequence relationship maintained by Gene to make connections from a sequence of interest to the Entrez Gene record. For example, BLAST queries matching protein or mRNA accessions associated with an Entrez Gene record are identified by the blue G icon. Map Viewer provides links from annotated genes to Entrez Gene. And RefSeq records include the GeneID as a db_xref in the gene feature. Thus you can obtain gene-specific information not only by text queries but also by genomic position (Map Viewer), RefSeq annotation and related sequences (BLAST, Entrez Nucleotide, Entrez Protein).

LINKS TO EXTERNAL DATABASES FROM ENTREZ GENE

Entrez Gene can serve as a directory to gene-specific information for databases outside of NCBI. External databases can register with the LinkOut service (1) and submit information about how their database should be connected to any Gene record. Any user of Entrez Gene retrieving a record with LinkOuts will then be able to connect to the registered database according to the specification of the data provider.

FEEDBACK

We welcome your feedback with respect to the Entrez Gene interface, or any data contained therein. You may use any of the Feedback options on a Gene page (Figure 1).
  5 in total

1.  Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.

Authors:  Robert L Strausberg; Elise A Feingold; Lynette H Grouse; Jeffery G Derge; Richard D Klausner; Francis S Collins; Lukas Wagner; Carolyn M Shenmen; Gregory D Schuler; Stephen F Altschul; Barry Zeeberg; Kenneth H Buetow; Carl F Schaefer; Narayan K Bhat; Ralph F Hopkins; Heather Jordan; Troy Moore; Steve I Max; Jun Wang; Florence Hsieh; Luda Diatchenko; Kate Marusina; Andrew A Farmer; Gerald M Rubin; Ling Hong; Mark Stapleton; M Bento Soares; Maria F Bonaldo; Tom L Casavant; Todd E Scheetz; Michael J Brownstein; Ted B Usdin; Shiraki Toshiyuki; Piero Carninci; Christa Prange; Sam S Raha; Naomi A Loquellano; Garrick J Peters; Rick D Abramson; Sara J Mullahy; Stephanie A Bosak; Paul J McEwan; Kevin J McKernan; Joel A Malek; Preethi H Gunaratne; Stephen Richards; Kim C Worley; Sarah Hale; Angela M Garcia; Laura J Gay; Stephen W Hulyk; Debbie K Villalon; Donna M Muzny; Erica J Sodergren; Xiuhua Lu; Richard A Gibbs; Jessica Fahey; Erin Helton; Mark Ketteman; Anuradha Madan; Stephanie Rodrigues; Amy Sanchez; Michelle Whiting; Anup Madan; Alice C Young; Yuriy Shevchenko; Gerard G Bouffard; Robert W Blakesley; Jeffrey W Touchman; Eric D Green; Mark C Dickson; Alex C Rodriguez; Jane Grimwood; Jeremy Schmutz; Richard M Myers; Yaron S N Butterfield; Martin I Krzywinski; Ursula Skalska; Duane E Smailus; Angelique Schnerch; Jacqueline E Schein; Steven J M Jones; Marco A Marra
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-11       Impact factor: 11.205

2.  NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.

Authors:  Kim D Pruitt; Tatiana Tatusova; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

3.  Database resources of the National Center for Biotechnology Information.

Authors:  David L Wheeler; Tanya Barrett; Dennis A Benson; Stephen H Bryant; Kathi Canese; Deanna M Church; Michael DiCuccio; Ron Edgar; Scott Federhen; Wolfgang Helmberg; David L Kenton; Oleg Khovayko; David J Lipman; Thomas L Madden; Donna R Maglott; James Ostell; Joan U Pontius; Kim D Pruitt; Gregory D Schuler; Lynn M Schriml; Edwin Sequeira; Steven T Sherry; Karl Sirotkin; Grigory Starchenko; Tugba O Suzek; Roman Tatusov; Tatiana A Tatusova; Lukas Wagner; Eugene Yaschenko
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

4.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

5.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

  5 in total
  409 in total

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Authors:  Roberto Romero; Offer Erez; Eli Maymon; Piya Chaemsaithong; Zhonghui Xu; Percy Pacora; Tinnakorn Chaiworapongsa; Bogdan Done; Sonia S Hassan; Adi L Tarca
Journal:  Am J Obstet Gynecol       Date:  2017-03-03       Impact factor: 8.661

2.  gViz, a novel tool for the visualization of co-expression networks.

Authors:  Raphaël Helaers; Eric Bareke; Bertrand De Meulder; Michael Pierre; Sophie Depiereux; Naji Habra; Eric Depiereux
Journal:  BMC Res Notes       Date:  2011-10-27

3.  Cross-species gene normalization by species inference.

Authors:  Chih-Hsuan Wei; Hung-Yu Kao
Journal:  BMC Bioinformatics       Date:  2011-10-03       Impact factor: 3.169

4.  Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization.

Authors:  Cheng-Ju Kuo; Maurice H T Ling; Chun-Nan Hsu
Journal:  BMC Bioinformatics       Date:  2011-10-03       Impact factor: 3.169

5.  Using Galaxy to perform large-scale interactive data analyses.

Authors:  Jennifer Hillman-Jackson; Dave Clements; Daniel Blankenberg; James Taylor; Anton Nekrutenko
Journal:  Curr Protoc Bioinformatics       Date:  2012-06

6.  Functional implications of the emergence of alternative splicing in hnRNP A/B transcripts.

Authors:  Siew Ping Han; Karin S Kassahn; Adam Skarshewski; Mark A Ragan; Joseph A Rothnagel; Ross Smith
Journal:  RNA       Date:  2010-07-22       Impact factor: 4.942

7.  Generalized random set framework for functional enrichment analysis using primary genomics datasets.

Authors:  Johannes M Freudenberg; Siva Sivaganesan; Mukta Phatak; Kaustubh Shinde; Mario Medvedovic
Journal:  Bioinformatics       Date:  2010-10-22       Impact factor: 6.937

8.  PathEx: a novel multi factors based datasets selector web tool.

Authors:  Eric Bareke; Michael Pierre; Anthoula Gaigneaux; Bertrand De Meulder; Sophie Depiereux; Fabrice Berger; Naji Habra; Eric Depiereux
Journal:  BMC Bioinformatics       Date:  2010-10-22       Impact factor: 3.169

9.  Deep transcriptome profiling of mammalian stem cells supports a regulatory role for retrotransposons in pluripotency maintenance.

Authors:  Alexandre Fort; Kosuke Hashimoto; Daisuke Yamada; Md Salimullah; Chaman A Keya; Alka Saxena; Alessandro Bonetti; Irina Voineagu; Nicolas Bertin; Anton Kratz; Yukihiko Noro; Chee-Hong Wong; Michiel de Hoon; Robin Andersson; Albin Sandelin; Harukazu Suzuki; Chia-Lin Wei; Haruhiko Koseki; Yuki Hasegawa; Alistair R R Forrest; Piero Carninci
Journal:  Nat Genet       Date:  2014-04-28       Impact factor: 38.330

10.  Tools and strategies for physiological genomics: the Rat Genome Database.

Authors:  Simon N Twigger; Dean Pasko; Jeff Nie; Mary Shimoyama; Susan Bromberg; Dan Campbell; Jiali Chen; Norberto dela Cruz; Chunyu Fan; Cindy Foote; Glenn Harris; Brian Hickmann; Yuan Ji; Weihong Jin; Dawei Li; Jedidiah Mathis; Nataliya Nenasheva; Rajni Nigam; Victoria Petri; Dorothy Reilly; Victor Ruotti; Eric Schauberger; Kathy Seiler; Ronit Slyper; Jennifer Smith; Weiye Wang; Wenhua Wu; Lan Zhao; Angela Zuniga-Meyer; Peter J Tonellato; Anne E Kwitek; Howard J Jacob
Journal:  Physiol Genomics       Date:  2005-08-16       Impact factor: 3.107

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