Abstract
IMGT, the international ImMunoGeneTics database® (http://imgt.cines.fr), is a high-quality integrated information system specializing in immunoglobulins (IG), T cell receptors (TR) and major histocompatibility complex (MHC) of human and other vertebrates, created in 1989, by LIGM, at the Université Montpellier II, CNRS, Montpellier, France. IMGT provides a common access to standardized data which include nucleotide and protein sequences, oligonucleotide primers, gene maps, genetic polymorphisms, specificities, 2D and 3D structures. IMGT includes several databases (IMGT/LIGM-DB, IMGT/3Dstructure-DB, IMGT/HLA-DB), Web resources (‘IMGT Marie-Paule page’) and interactive tools (IMGT/V-QUEST, IMGT/JunctionAnalysis). IMGT expertly annotated data and tools described in this paper are particularly useful for the analysis of the IG and TR rearrangements in leukemia, lymphoma and myeloma, and in translocations involving the antigen receptor loci. IMGT is freely available at http://imgt.cines.fr.
Introduction
The molecular synthesis and genetics of the immunoglobulin (IG) and T cell receptor (TR) chains is particularly complex and unique as it includes biological mechanisms such as DNA molecular rearrangements in multiple loci (three for IG and four for TR in humans) located on different chromosomes (four in humans), nucleotide deletions and insertions at the rearrangement junctions (or N-diversity), and somatic hypermutations in the IG loci (for review Refs 1, 2). The number of potential protein forms of IG and TR is almost unlimited. Owing to the complexity and high number of published sequences, data control and classification and detailed annotations are a very difficult task for the generalist databank such as EMBL, GenBank, and DDBJ.3,4,5 These observations were the starting point of IMGT, the international ImMunoGeneTics database® (http://imgt.cines.fr),6 created in 1989, by LIGM, at the Université Montpellier II, CNRS, Montpellier, France.
IMGT is a high-quality integrated information system specialising in IG, TR and MHC of human and other vertebrates which consists of several databases (IMGT/LIGM-DB, IMGT/3Dstructure-DB, IMGT/HLA-DB), Web resources (‘IMGT Marie-Paule page’) and interactive tools (IMGT/V-QUEST, IMGT/JunctionAnalysis).6 IMGT expertly annotated data and tools described in this paper are particularly useful for the analysis of the IG and TR rearrangements. By its high-quality and its easy data distribution, IMGT has important implications in medical research (repertoire in leukemias, lymphomas, myelomas, translocations, autoimmune diseases, AIDS), therapeutic approaches, and biotechnology related to antibody engineering. IMGT is freely available at http://imgt.cines.fr.
IMGT databases
The IMGT databases comprise three databases: (1) IMGT/LIGM-DB is a comprehensive database of IG and TR nucleotide sequences from human and other vertebrate species, with translation for fully annotated sequences, created in 1989 by LIGM, Laboratoire d'ImmunoGénétique Moléculaire, Montpellier, France, and on the Web since July 1995.6,7,8,9,10 In April 2002, IMGT/LIGM-DB contained 56 188 nucleotide sequences of IG and TR from 105 species. (2) IMGT/3Dstructure-DB is a database which provides the IMGT gene and allele identification and Colliers de Perles of IG and TR with known 3D structures, created by LIGM, on the Web since November 2001.11 In February 2002, IMGT/3Dstructure-DB contained 648 entries. (3) IMGT/HLA-DB is a database of the human MHC allele sequences, developed by Cancer Research UK, London, and ANRI (Anthony Nolan Research Institute), London, UK, on the Web since December 1998.12 The two specialized databases, IMGT/3Dstructure-DB and IMGT/HLA-DB, have been described elsewhere.11,12
IMGT/LIGM-DB data
IMGT/LIGM-DB sequence data are identified by the EMBL/GenBank/DDBJ accession number. The unique source of data for IMGT/LIGM-DB is EMBL which shares data with the other two generalist databases GenBank and DDBJ. Once the sequences are allowed by the authors to be made public, LIGM automatically receives IG and TR sequences by email from EMBL. After control by LIGM curators, data are scanned to store sequences, bibliographical references and taxonomic data, and standardized IMGT/LIGM-DB keywords are assigned to all entries. Based on expert analysis, specific detail annotations are added to IMGT flat files in a second step.7
Since August 1996, the IMGT/LIGM-DB content has closely followed that of the EMBL for the IG and TR, with the following advantages: IMGT/LIGM-DB does not contain sequences which have previously been wrongly assigned to IG and TR; conversely, IMGT/LIGM-DB contains IG and TR entries which have disappeared from the generalist databases (as examples: the L36092 accession number which encompasses the complete human TRB locus is still present in IMGT/LIGM-DB, whereas it has been deleted from EMBL/GenBank/DDBJ due to its too large size (684 973 bp); in 1999, IMGT detected the disappearance of 20 IG and TR sequences which inadvertently had been lost by GenBank, and allowed the recuperation of these sequences in the generalist databases).
IMGT/LIGM-DB interface and data distribution
One of the major objectives of IMGT was to provide immunologists with a user friendly interface. The Web interface allows searches according to immunogenetic specific criteria and is easy to use without any knowledge in a computing language. The interface allows the users to get easily connected from any type of platform (PC, Macintosh, workstation) using freeware such as Netscape. All IMGT/LIGM-DB information is available through search criteria (Figure 1): catalogue, accession number, mnemonic, definition, length, etc.; taxonomy, nucleic acid type, loci, genes or chains, functionality, structure, specificity, etc.; keywords; annotation labels; references.
Selection is displayed at the top of the resulting sequence pages, so that users can check their own queries.9 Users have the possibility to modify their request or consult the results.9 They can (1) add new conditions to increase or decrease the number of resulting sequences, (2) view details concerning the selected sequences and choose among nine possibilities: annotations, IMGT flat file, coding regions with protein translation, catalogue and external references, sequence in dump format, sequence in FASTA format, sequence with three reading frames, EMBL flat file, IMGT/V-QUEST, or (3) search for sequence fragments corresponding to a particular label.9
IMGT/LIGM-DB data are also distributed by EBI (distribution of CD-ROM, network fileserver: netserv@ebi.ac.uk, and anonymous FTP server, ftp://ftp.ebi.ac.uk/pub/databases/imgt/), by the CINES anonymous FTP server (ftp://ftp.cines.fr/pub/IMGT/), and from many SRS (Sequence Retrieval System) sites.
IMGT/LIGM-DB can be searched by BLAST or FASTA on different servers (EBI, IGH, INFOBIOGEN, Institut Pasteur, etc.).
IMGT Web resources
IMGT Web resources (‘IMGT Marie-Paule page’)6 comprise the following sections: ‘IMGT Scientific chart’, ‘IMGT Repertoire’, ‘IMGT Bloc-notes’, ‘IMGT Education’, ‘IMGT Aide-mémoire’ and ‘IMGT Index’.
IMGT Scientific chart
The IMGT Scientific chart provides the controlled vocabulary and the annotation rules and concepts defined by IMGT13 for the identification, description, classification and numerotation of the IG and TR data of human and other vertebrates.
Concept of identification: standardized keywords:
IMGT standardized keywords for IG and TR include the following: (1) General keywords: indispensable for the sequence assignments, they are described in an exhaustive and non-redundant list, and are organized in a tree structure. (2) Specific keywords: they are more specifically associated with particularities of the sequences (orphon, transgene, etc.) or to diseases (leukemia, lymphoma, myeloma, etc.).7 The list is not definitive and new specific keywords can easily be added if needed. IMGT/LIGM-DB standardized keywords have been assigned to all entries.
Concept of description: standardized sequence annotation:
On hundred and seventy-seven feature labels are necessary to describe all structural and functional subregions that compose IG and TR sequences,7 whereas only seven of them are available in EMBL, GenBank or DDBJ. Annotation of sequences with these labels constitutes the main part of the expertise. Levels of annotation have been defined, which allow users to query sequences in IMGT/LIGM-DB even though they are not fully annotated.7
Prototypes represent the organizational relationship between labels and give information on the order and expected length (in number of nucleotides) of the labels.7,9
Concept of classification: standardized IG and TR gene nomenclature:
The objective is to provide immunologists and geneticists with a standardized nomenclature per locus and per species which will allow extraction and comparison of data for the complex B and T cell antigen receptor molecules.
The concepts of classification have been used to set up a unique nomenclature of human IG and TR genes, which was approved by HGNC, the HUGO (Human Genome Organization) Nomenclature Committee in 1999.6 The complete list of the human IG and TR gene names1,2,14,15,16,17,18,19,20 has been entered by the IMGT Nomenclature Committee in GDB, Toronto, and LocusLink, NCBI, USA, and is available from the IMGT site.6 IMGT reference sequences have been defined for each allele of each gene based on one or, whenever possible, several of the following criteria: germline sequence, first sequence published, longest sequence, mapped sequence.9,21 They are listed in the germline gene tables of the IMGT Repertoire.22,23,24,25,26,27,28,29 The protein displays show translated sequences of the alleles (*01) of the functional or ORF genes.1,2,30,31
Concept of numerotation: the IMGT unique numbering:
A uniform numbering system for IG and TR sequences of all species has been established to facilitate sequence comparison and cross-referencing between experiments from different laboratories whatever the antigen receptor (IG or TR), the chain type, or the species.32,33
This numbering results from the analysis of more than 5000 IG and TR variable region sequences of vertebrate species from fish to human. It takes into account and combines the definition of the framework (FR) and complementarity determining region (CDR),34 structural data from X-ray diffraction studies,35 and the characterization of the hypervariable loops.36 In the IMGT numbering, conserved amino acids from frameworks always have the same number whatever the IG or TR variable sequence, and from whatever species they come (as examples: Cysteine 23 (in FR1), Tryptophan 41 (in FR2), Leucine 89 and Cysteine 104 (in FR3)). Tables and graphs are available on the IMGT Web site at http://imgt.cines.fr and in Refs 1 and 2.
This IMGT unique numbering has several advantages:
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It has allowed the redefinition of the limits of the FR and CDR of the IG and TR variable domains. The FR-IMGT and CDR-IMGT lengths become in themselves crucial information which characterize variable regions belonging to a group, a subgroup and/or a gene.
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Framework amino acids (and codons) located at the same position in different sequences can be compared without requiring sequence alignments. This also holds for amino acids belonging to CDR-IMGT of same length.
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The unique numbering is used as the output of the IMGT/V-QUEST alignment tool. The aligned sequences are displayed according to the IMGT numbering and with the FR-IMGT and CDR-IMGT delimitations.
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The unique numbering has allowed a standardization of the description of mutations and the description of IG and TR allele polymorphisms.1,2 These mutations and allelic polymorphisms are described by comparison to the IMGT reference sequences of the alleles (*01).8,9
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The unique numbering allows the description and comparison of somatic hypermutations of the IG IMGT variable domains.
By facilitating the comparison between sequences and by allowing the description of alleles and mutations, the IMGT unique numbering represents a big step forward in the analysis of the IG and TR sequences of all vertebrate species. Moreover, it gives insight into the structural configuration of the variable domain and opens interesting views on the evolution of these sequences, since this numbering has been applied with success to all the sequences belonging to the V-set of the immunoglobulin superfamily, including non-rearranging sequences in vertebrates (human CD4, Xenopus CTXg1, etc.) and in invertebrates (drosophila amalgam, drosophila fasciclin II, etc.).8,9,32,33
IMGT Repertoire
IMGT Repertoire is the global Web resource in ImMunoGeneTics for the immunoglobulins and T cell receptors of human and other vertebrates, based on the ‘IMGT Scientific chart’. IMGT Repertoire provides an easy-to-use interface to carefully and expertly annotated data on the genome, proteome, polymorphism and structural data of the IG and TR.6 Only titles of this large section are quoted here. Genome data include chromosomal localizations, locus representations, locus description, germline gene tables, potential germline repertoires, lists of IG and TR genes and links between IMGT, HUGO, GDB, LocusLink and OMIM, correspondence between nomenclatures.1,2 Proteome and polymorphism data are represented by protein displays, alignments of alleles, tables of alleles, allotypes, particularities in protein designations, IMGT reference directory in FASTA format, correspondence between IG and TR chain and receptor IMGT designations.1,2 Structural data comprise 2D graphical representations designated as Colliers de Perles,1,2,6,8,9 FR-IMGT and CDR-IMGT lengths, and 3D representations of IG and TR variable domains.10,12 This visualization permits rapid correlation between protein sequences and 3D data retrieved from the Protein Data Bank PDB. Other data comprise: (1) phages, (2) probes used for the analysis of IG and TR gene rearrangements and expression, and RFLP (restriction fragment length polymorphism) studies, (3) data related to gene regulation and expression: promoters, primers, cDNAs, reagent monoclonal antibodies, etc., (4) genes and clinical entities: translocations and inversions, humanized antibodies, monoclonal antibodies whith clinical indications, (5) taxonomy of vertebrate species present in IMGT/LIGM-DB, (6) immunoglobulin superfamily: gene exon-intron organization, protein displays, Colliers de Perles and 3D representations of V-LIKE and C-LIKE domains.
IMGT Bloc-notes
The IMGT Bloc-notes provides numerous hyperlinks towards the Web servers specializing in immunology, genetics, molecular biology and bioinformatics (associations, collections, companies, databases, immunology themes, journals, molecular biology servers, resources, societies, tools, etc.).37
IMGT Education
IMGT Education is a new section which provides useful biological resources for students. It includes figures and tutorials (in English and/or in French) on the IG and TR variable and constant domain 3D structures, the molecular genetics of immunoglobulins, the regulation of IG gene transcription, B cell differentiation and activation, etc.
IMGT Aide-mémoire and IMGT Index
IMGT Aide-mémoire provides an easy access to information such as genetic code, splicing sites, amino acid structures, restriction enzyme sites, etc.
IMGT Index is a fast way to access data when information has to be retrieved from different parts of the IMGT site. For example, ‘allele’ provides links to the IMGT Scientific chart rules for the allele description, and to the IMGT Repertoire Alignments of alleles and Tables of alleles.
IMGT interactive tools
IMGT/V-QUEST
IMGT/V-QUEST (V-QUEry and STandardization) is an integrated software for IG and TR.6 This tool, easy to use, analyses an input IG or TR germline or rearranged variable nucleotide sequence. IMGT/V-QUEST results comprise the identification of the V, D and J genes and alleles and the nucleotide alignment by comparison with sequences from the IMGT reference directory (Figure 2), the delimitations of the FR-IMGT and CDR-IMGT based on the IMGT unique numbering, the protein translation of the input sequence, the identification of the JUNCTION and the two-dimensional Collier de Perles representation of the V-REGION. The set of sequences from the IMGT reference directory, used for IMGT/V-QUEST can be downloaded in FASTA format from the IMGT site.
IMGT/JunctionAnalysis
IMGT/JunctionAnalysis is a tool, complementary to IMGT/V-QUEST, which provides a thorough analysis of the V-J and V-D-J junction of IG and TR rearranged genes (Figure 3). IMGT/JunctionAnalysis identifies the D-GENE and allele involved in the IGH, TRB and TRD V-D-J rearrangements by comparison with the IMGT reference directory, and delimits precisely the P, N and D regions (Figure 3).1,2 Results from IMGT/JunctionAnalysis are more accurate than those given by IMGT/V-QUEST regarding the D-GENE identification. Indeed, IMGT/JunctionAnalysis works on shorter sequences (JUNCTION), and with a higher constraint since the identification of the V-GENE and J-GENE and alleles is a prerequisite to perform the analysis. Several hundreds of junction sequences can be analyzed simultaneously.
IMGT-ONTOLOGY and IMGT interoperability
IMGT-ONTOLOGY
IMGT distributes high-quality data with an important incremental value added by the IMGT expert annotations, according to the rules described in the IMGT Scientific chart. IMGT has developed a formal specification of the terms to be used in the domain of immunogenetics and bioinformatics to ensure accuracy, consistency and coherence in IMGT. This has been the basis of the IMGT-ONTOLOGY,13 the first ontology in the domain, which allows the management of the immunogenetics knowledge for all vertebrate species. Control of coherence in IMGT combines data integrity control and biological data evaluation.38,39
IMGT interoperability
Since July 1995, IMGT has been available on the web at http://imgt.cines.fr. IMGT provides biologists with an easy to use and friendly interface. From January 1996 to April 2002, the IMGT WWW server at Montpellier was accessed by more than 164 000 sites. IMGT has an exceptional response with more than 100 000 requests a month. Two thirds of the visitors are equally distributed between the European Union and the United States. To facilitate the integration of IMGT data into applications developed by other laboratories, we have built an Application Programming Interface to access the database and its software tools (see ‘IMGT Informatics page (API...)’).38 This API includes a set of URL links to access biological knowledge data (keywords, labels, functionalities, list of gene names, etc.), a set of URL links to access all data related to one given sequence, a set of JAVA class packages to select and retrieve data from an appropriate IMGT server using an object-oriented approach.
Conclusion
The information provided by IMGT is of much value to clinicians and biological scientists in general.40 Tools for the analysis of genetic and phylogenetic data (IMGT/PhyloGene) and the display of physical maps (IMGT/GeneView, IMGT/LocusView) and new specific databases (IMGT/PROTEIN-DB, IMGT/PRIMER-DB) are currently in development and will be integrated into IMGT. IMGT/PROTEIN-DB, a protein database for IG and TR, will contain translations of potentially functional and ORF sequences from IMGT/LIGM-DB, and protein data from Kabat et al34 and PDB. IMGT/PRIMER-DB is an oligonucleotide primer database for IG, TR, and MHC, developed in collaboration with EUROGENTEC (Belgium). More particularly, IMGT/PRIMER-DB will integrate information on primers used for the analysis of the IG and TR gene repertoire and expression, and in the detection of minimal residual diseases in B and T cell malignancies.41,42,43,44,45,46,47,48,49,50,51 IMGT is designed to allow a common access to all immunogenetics data, and particular attention is given to the establishment of cross-referencing links to other databases pertinent to the users of IMGT.
Note: Citing IMGT
Authors who make use of the information provided by IMGT should cite Ref. 6 as a general reference for the access to and content of IMGT, and quote the IMGT home page URL, http://imgt.cines.fr.
References
Lefranc, M-P & Lefranc, G The Immunoglobulin FactsBook, Academic Press: London (2001).
Lefranc, M-P & Lefranc, G The T Cell Receptor FactsBook, Academic Press: London (2001).
Stoesser, G, Baker, W, Van den Broek, A, Camon, E, Garcia-Pastor, M, Kanz, C, Kulikova, T, Lombard, V, Lopez, R, Parkinson, H, Redaschi, N, Sterk, P, Stoehr, P & Tuli, M-A The EMBL nucleotide sequence database. Nucleic Acids Res, (2001). 29, 17–21.
Benson, DA, Karsch-Mizrachi, I, Lipman, D, Ostell, J, Rapp, BA & Wheeler, DL GenBank. Nucleic Acids Res, (2000). 28, 15–18.
Tateno, Y, Miyazaki, S, Ota, M, Sugawara, H & Gojobori, T DNA Data Bank of Japan (DDBJ) in collaboration with mass sequencing teams. Nucleic Acids Res, (2000). 28, 24–26.
Lefranc, M-P IMGT, the international ImMunoGeneTics database. Nucleic Acids Res, (2001). 29, 207–209.
Giudicelli, V, Chaume, D, Bodmer, J, Müller, W, Busin, C, Marsh, S, Bontrop, R, Lemaitre, M, Malik, & Lefranc, M-P IMGT, the international ImMunoGeneTics database. Nucleic Acids Res, (1997). 25, 206–211.
Lefranc, M-P, Giudicelli, V, Busin, C, Bodmer, J, Müller, W, Bontrop, R, Lemaitre, M, Malik, A & Chaume, D IMGT, the international ImMunoGeneTics database. Nucleic Acids Res, (1998). 26, 297–303.
Lefranc, M-P, Giudicelli, V, Ginestoux, C, Bodmer, J, Müller, W, Bontrop, R, Lemaitre, M, Malik, A, Barbié, V & Chaume, D IMGT, the international ImMunoGeneTics database. Nucleic Acids Res, (1999). 27, 209–212.
Ruiz, M, Giudicelli, V, Ginestoux, C, Stoehr, P, Robinson, J, Bodmer, J, Marsh, SG, Bontrop, R, Lemaitre, M, Lefranc, G, Chaume, D & Lefranc, M-P IMGT, the international ImMunoGeneTics database. Nucleic Acids Res, (2000). 28, 219–221.
Ruiz, M & Lefranc, M-P IMGT gene identification and Colliers de Perles of human immunoglobulin with known 3D structures. Immunogenetics DOI 10.1007/s00251-001-0408-6. Immunogenetics, (2002). 53, 857–883.
Robinson, J, Malik, A, Parham, P, Bodmer, JG & Marsh, SGE IMGT/HLA Database – a sequence database for the human major histocompatibility complex. Tissue Antigens, (2000). 55, 280–287.
Giudicelli, V & Lefranc, M-P Ontology for Immunogenetics: IMGT-ONTOLOGY. Bioinformatics, (1999). 12, 1047–1054.
Lefranc, M-P Nomenclature of the human immunoglobulin genes. Current Protocols in Immunology, J Wiley and Sons: New York (2000). Suppl. 40, A.1P.1–A.1P.37.
Lefranc, M-P Nomenclature of the human T cell Receptor genes. Current Protocols in Immunology, J Wiley and Sons: New York, USA (2000). Suppl. 40, A.1O.1–A.1O.23.
Lefranc, M-P Locus maps and genomic repertoire of the human Ig genes. Immunologist, (2000). 8, 80–87.
Lefranc, M-P Locus maps and genomic repertoire of the human T-cell receptor genes. Immunologist, (2000). 8, 72–79.
Lefranc, M-P Nomenclature of the human immunoglobulin heavy (IGH) genes. Exp Clin Immunogenet, (2001). 18, 100–116.
Lefranc, M-P Nomenclature of the human immunoglobulin kappa (IGK) genes. Exp Clin Immunogenet, (2001). 18, 161–174.
Lefranc, M-P Nomenclature of the human immunoglobulin lambda (IGL) genes. Exp Clin Immunogenet, (2001). 18, 242–254.
Lefranc, M-P IMGT (ImMunoGeneTics) Locus on Focus. A new section of experimental and clinical immunogenetics. Exp Clin Immunogenet, (1998). 15, 1–7.
Pallarès, N, Frippiat, JP, Giudicelli, V & Lefranc, M-P The human immunoglobulin lambda variable (IGLV) genes and joining (IGLJ) segments. Exp Clin Immunogenet, (1998). 15, 8–18.
Barbié, V & Lefranc, M-P The human immunoglobulin kappa variable (IGKV) genes and joining (IGKJ) segments. Exp Clin Immunogenet, (1998). 15, 171–183.
Pallarès, N, Lefebvre, S, Contet, V, Matsuda, F & Lefranc, M-P The human immunoglobulin heavy variable (IGHV) genes. Exp Clin Immunogenet, (1999). 16, 36–60.
Ruiz, M, Pallarès, N, Contet, V, Barbié, V & Lefranc, M-P The human immunoglobulin heavy diversity (IGHD) and joining (IGHJ) segments. Exp Clin Immunogenet, (1999). 16, 173–184.
Folch, G & Lefranc, M-P The human T cell receptor beta variable (TRBV) genes. Exp Clin Immunogenet, (2000). 17, 42–54.
Scaviner, D & Lefranc, M-P The human T cell receptor alpha variable (TRAV) genes. Exp Clin Immunogenet, (2000). 17, 83–96.
Scaviner, D & Lefranc, M-P The human T cell receptor alpha joining (TRAJ) genes. Exp Clin Immunogenet, (2000). 17, 97–106.
Folch, G & Lefranc, M-P The human T cell receptor beta diversity (TRBD) and beta joining (TRBJ) genes. Exp Clin Immunogenet, (2000). 17, 107–114.
Scaviner, D, Barbié, V, Ruiz, M & Lefranc, M-P Protein displays of the human immunoglobulin heavy, kappa and lambda variable and joining regions. Exp Clin Immunogenet, (1999). 16, 234–240.
Folch, G, Scaviner, D, Contet, V & Lefranc, M-P Protein displays of the human T cell receptor alpha, beta, gamma and delta variable and joining regions. Exp Clin Immunogenet, (2000). 17, 205–215.
Lefranc, M-P Unique database numbering system for immunogenetic analysis. Immunol Today, (1997). 18, 509
Lefranc, M-P The IMGT unique numbering for Immunoglobulins, T cell receptors and Ig-like domains. Immunologist, (1999). 7, 132–136.
Kabat, EA, Wu, TT, Perry, HM, Gottesman, KS & Foeller, C Sequences of Proteins of Immunological Interest, National Institute of Health Publications: Washington DC (1991). 91–3242.
Satow, Y, Cohen, GH, Padlan, EA & Davies, DR Phosphocholine binding immunoglobulin Fab McPC603. J Mol Biol, (1986). 190, 593–604.
Chothia, C & Lesk, AM Canonical structures for the hypervariable regions of immunoglobulins. J Mol Biol, (1987). 196, 901–917.
Lefranc, M-P Web sites of Interest to immunologists. Current Protocols in Immunology, J Wiley and Sons: New York (2000). A.1J.1–A.1J.33.
Giudicelli, V, Chaume, D & Lefranc, M-P IMGT/LIGM-DB: A systematized approach for ImMunoGeneTics database coherence and data distribution improvement. Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology, ISBM-98. (1998). 59–68.
Giudicelli, V, Chaume, D, Mennessier, G, Althaus, HH, Mller, W, Bodmer, J, Malik, A & Lefranc, M-P IMGT, the international ImMunoGeneTics database: a new Design for Immunogenetics Data Access. In: Cesnik B et al (eds). Proceedings of the Ninth World Congress on Medical Informatics, MEDINFO’ 98, IOS Press: Amsterdam (1998). 351–355.
Lefranc, M-P IMGT, the international ImMunoGeneTics database: a high-quality information system for comparative immmunogenetics and immunology. Dev Comp Immunol, (in press)
Eckert, C, Landt, O, Taube, T, Seeger, K, Beyermann, B, Proba, J & Henze, G Potential of LightCycler technology for quantification of minimal residual disease in childhood acute lymphoblastic leukemia. Leukemia, (2000). 14, 316–323.
Delabesse, E, Burtin, ML, Millien, C, Madonik, A, Arnulf, B, Beldjord, K, Valensi, F & Macintyre, EA Rapid, multifluorescent TCRG Vgamma and Jgamma typing: application to T cell acute lymphoblastic leukemia and to the detection of minor clonal populations. Leukemia, (2000). 14, 1143–1152.
Szczepanski, T, Langerak, AW, Willemse, MJ, Wolvers-Tettero, ILM, van Wering, ER & van Dongen, JJM T cell receptor gamma (TCRG) gene rearrangements in T cell acute lymphoblastic leukemia reflect ‘end-stage’ recombinations: implications for minimal residual disease monitoring. Leukemia, (2000). 14, 1208–1214.
Bruggemann, M, Droese, J, Bolz, I, Luth, P, Pott, C, von Neuhoff, N, Scheuering, U & Kneba, M Improved assessment of minimal residual disease in B cell malignancies using fluorogenic consensus probes for real-time quantitative PCR. Leukemia, (2000). 14, 1419–1425.
Verhagen, OJHM, Willemse, MJ, Breunis, WB, Wijkhuijs, AJM, Jacobs, DCH, Joosten, SA, van Wering, ER, van Dongen, JJM & van der Schoot, CE Application of germline IGH probes in real-time quantitative PCR for the detection of minimal residual disease in acute lymphoblastic leukemia. Leukemia, (2000). 14, 1426–1435.
De Haas, V, Verhagen, OJ, von dem Borne, AE, Kroes, W, van den Berg, H & van der Schoot, CE Quantification of minimal residual disease in children with oligoclonal B-precursor acute lymphoblastic leukemia indicates that the clones that grow out during relapse already have the slowest rate of reduction during induction therapy. Leukemia, (2001). 15, 134–140.
Szczepanski, T, Willemse, MJ, van Wering, ER, Weerden, JF, Kamps, WA & van Dongen, JJM Precursor-B-ALL with DH-JH gene rearrangements have an immature immunogenotype with a high frequency of oligoclonality and hyperdiploidy of chromosome 14. Leukemia, (2001). 15, 1415–1423.
Moreira, I, Papaioannou, M, Mortuza, FY, Gameiro, P, Palmisano, GL, Harrison, CJ, Prentice, HG, Mehta, AB, Hoffbrand, AV & Foroni, L Heterogeneity of VH-JH gene rearrangement patterns: an insight into the biology of B cell precursor ALL. Leukemia, (2001). 15, 1527–1536.
Boeckx, N, Willemse, MJ, Szczepanski, T, van Der Velden, VHJ, Langerak, AW, Vandekerckhove, P & van Dongen, JJM Fusion gene transcripts and Ig/TCR gene rearrangements are complementary but infrequent targets for PCR-based detection of minimal residual disease in acute myeloid leukemia. Leukemia, (2002). 16, 368–375.
Van der Velden, VHJ, Wijkhuijs, JM, Jacobs, DCH, van Wering, ER & van Dongen, JJM T cell receptor gamma gene rearrangements as targets for detection of minimal residual disease in acute lymphoblastic leukemia by real-time quantitative PCR analysis. Leukemia, (2002). 16, (in press)
Van der Velden, VHJ, Willemse, MJ, van der Schoot, CE, van Wering, ER & van Dongen, JJM Immunoglobulin kappa deleting element rearrangements in precursor–B acute lymphoblastic leukemia are stable targets for detection of minimal residual disease by real-time quantitative PCR. Leukemia, (2002). 16, (in press)
Acknowledgements
I thank Véronique Giudicelli, Denys Chaume and Gérard Lefranc for helpful discussion, Nora Bonnet for typing the manuscript. I am deeply grateful to the IMGT team for its expertise and constant motivation. IMGT is funded by the European Union's 5th PCRDT programme (QLG2-2000-01287), the CNRS (Centre National de la Recherche Scientifique), the Ministère de l’Education Nationale, and the Ministère de la Recherche. Subventions have been received from ARC (Association pour la Recherche sur le Cancer), and the Région Languedoc-Roussillon.
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Lefranc, MP. IMGT® databases, web resources and tools for immunoglobulin and T cell receptor sequence analysis, http://imgt.cines.fr. Leukemia 17, 260–266 (2003). https://doi.org/10.1038/sj.leu.2402637
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DOI: https://doi.org/10.1038/sj.leu.2402637
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