Literature DB >> 17021860

Reassignment of the murine 3'TRDD1 recombination signal sequence.

C Touvrey1, L G Cowell, A E Lieberman, P N Marche, E Jouvin-Marche, S M Candéias.   

Abstract

T cell receptor genes are assembled in developing T lymphocytes from discrete V, D, and J genes by a site-specific somatic rearrangement mechanism. A flanking recombination signal, composed of a conserved heptamer and a semiconserved nonamer separated by 12 or 23 variable nucleotides, targets the activity of the rearrangement machinery to the adjoining V, D, and J genes. Following the rearrangement of V, D, or J genes, their respective recombination signals are ligated together. Although these signal joints are allegedly invariant, created by the head-to-head abuttal of the heptamers, some do exhibit junctional diversity. Recombination signals were initially identified by comparison and alignment of germ-line sequences with the sequence of rearranged genes. However, their overall low level of sequence conservation makes their characterization solely from sequence data difficult. Recently, computational analysis unraveled correlations between nucleotides at several positions scattered within the spacer and recombination activity, so that it is now possible to identify putative recombination signals and determine and predict their recombination efficiency. In this paper, we analyzed the variability introduced in signal joints generated after rearrangement of the TRDD1 and TRDD2 genes in murine thymocytes. The recurrent presence of identical nucleotides inserted in these signal joints led us to reconsider the location and sequence of the TRDD1 recombination signal. By combining molecular characterization and computational analysis, we show that the functional TRDD1 recombination signal is shifted inside the putative coding sequence of the TRDD1 gene and, consequently, that this gene is shorter than indicated in the databases.

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Year:  2006        PMID: 17021860      PMCID: PMC1876511          DOI: 10.1007/s00251-006-0150-1

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  27 in total

Review 1.  Unraveling V(D)J recombination; insights into gene regulation.

Authors:  David Jung; Frederick W Alt
Journal:  Cell       Date:  2004-01-23       Impact factor: 41.582

2.  Increased frequency of aberrant V(D)J recombination products in core RAG-expressing mice.

Authors:  Sadiqur R Talukder; Darryll D Dudley; Frederick W Alt; Yousuke Takahama; Yoshiko Akamatsu
Journal:  Nucleic Acids Res       Date:  2004-08-24       Impact factor: 16.971

3.  Cyclin A/CDK2 regulates V(D)J recombination by coordinating RAG-2 accumulation and DNA repair.

Authors:  J Lee; S Desiderio
Journal:  Immunity       Date:  1999-12       Impact factor: 31.745

4.  V(D)J recombination: a functional definition of the joining signals.

Authors:  J E Hesse; M R Lieber; K Mizuuchi; M Gellert
Journal:  Genes Dev       Date:  1989-07       Impact factor: 11.361

Review 5.  Somatic generation of antibody diversity.

Authors:  S Tonegawa
Journal:  Nature       Date:  1983-04-14       Impact factor: 49.962

6.  Fine structure and activity of discrete RAG-HMG complexes on V(D)J recombination signals.

Authors:  Patrick C Swanson
Journal:  Mol Cell Biol       Date:  2002-03       Impact factor: 4.272

7.  Prospective estimation of recombination signal efficiency and identification of functional cryptic signals in the genome by statistical modeling.

Authors:  Lindsay G Cowell; Marco Davila; Kaiyong Yang; Thomas B Kepler; Garnett Kelsoe
Journal:  J Exp Med       Date:  2003-01-20       Impact factor: 14.307

Review 8.  Computational tools for understanding sequence variability in recombination signals.

Authors:  Lindsay G Cowell; Marco Davila; Dale Ramsden; Garnett Kelsoe
Journal:  Immunol Rev       Date:  2004-08       Impact factor: 12.988

9.  TCR delta gene rearrangements revealed by fine structure of the recombination junction in mice.

Authors:  Yasuyoshi Kanari; Masahiro Muto; Hideo Yamagishi
Journal:  Microbiol Immunol       Date:  2003       Impact factor: 1.955

10.  Identification and utilization of arbitrary correlations in models of recombination signal sequences.

Authors:  Lindsay G Cowell; Marco Davila; Thomas B Kepler; Garnett Kelsoe
Journal:  Genome Biol       Date:  2002-11-21       Impact factor: 13.583

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