Literature DB >> 16210621

Hypermutation at A-T base pairs: the A nucleotide replacement spectrum is affected by adjacent nucleotides and there is no reverse complementarity of sequences flanking mutated A and T nucleotides.

Jo Spencer1, Deborah K Dunn-Walters.   

Abstract

Hypermutation is thought to be a two-phase process. The first phase is via the action of activation-induced cytidine deaminase (AID), which deaminates C nucleotides in WRC motifs. This results in the RGYW/WRCY hot spot motifs for mutation from G and C observed in vivo. The resemblance between the hot spot for C mutations and the reverse complement of that for G mutations implies a process acting equally on both strands of DNA. The second phase of hypermutation generates mutations from A and T and exhibits strand bias, with more mutations from A than T. Although this does not concur with the idea of one mechanism acting equally on both strands, it has been suggested that the AT mutator also has a reversible motif; WA/TW. We show here that the motifs surrounding the different substitutions from A vary significantly; there is no single targeting motif for all A mutations. Sequence preferences associated with mutations from A more likely reflect an influence of adjacent nucleotides over what the A mutates "to." This influence tends toward "like" replacements: Purines (A or G) in the 5' position bias toward replacement by another purine (G), whereas replacement with pyrimidines (C or T) is more likely if the preceding base is also a pyrimidine. There is no reverse complementarity in these observations, in that similar influences of nucleotides adjacent to T are not seen. Hence, WA and TW should not be considered as reverse complement hot spot motifs for A and T mutations.

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Year:  2005        PMID: 16210621     DOI: 10.4049/jimmunol.175.8.5170

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  16 in total

1.  Somatic hypermutation at A/T-rich oligonucleotide substrates shows different strand polarities in Ung-deficient or -proficient backgrounds.

Authors:  Marija Zivojnovic; Frédéric Delbos; Giulia Girelli Zubani; Amélie Julé; Alexandre Alcais; Jean-Claude Weill; Claude-Agnès Reynaud; Sébastien Storck
Journal:  Mol Cell Biol       Date:  2014-04-07       Impact factor: 4.272

2.  Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia.

Authors:  Xose S Puente; Magda Pinyol; Víctor Quesada; Laura Conde; Gonzalo R Ordóñez; Neus Villamor; Georgia Escaramis; Pedro Jares; Sílvia Beà; Marcos González-Díaz; Laia Bassaganyas; Tycho Baumann; Manel Juan; Mónica López-Guerra; Dolors Colomer; José M C Tubío; Cristina López; Alba Navarro; Cristian Tornador; Marta Aymerich; María Rozman; Jesús M Hernández; Diana A Puente; José M P Freije; Gloria Velasco; Ana Gutiérrez-Fernández; Dolors Costa; Anna Carrió; Sara Guijarro; Anna Enjuanes; Lluís Hernández; Jordi Yagüe; Pilar Nicolás; Carlos M Romeo-Casabona; Heinz Himmelbauer; Ester Castillo; Juliane C Dohm; Silvia de Sanjosé; Miguel A Piris; Enrique de Alava; Jesús San Miguel; Romina Royo; Josep L Gelpí; David Torrents; Modesto Orozco; David G Pisano; Alfonso Valencia; Roderic Guigó; Mónica Bayés; Simon Heath; Marta Gut; Peter Klatt; John Marshall; Keiran Raine; Lucy A Stebbings; P Andrew Futreal; Michael R Stratton; Peter J Campbell; Ivo Gut; Armando López-Guillermo; Xavier Estivill; Emili Montserrat; Carlos López-Otín; Elías Campo
Journal:  Nature       Date:  2011-06-05       Impact factor: 49.962

3.  repgenHMM: a dynamic programming tool to infer the rules of immune receptor generation from sequence data.

Authors:  Yuval Elhanati; Quentin Marcou; Thierry Mora; Aleksandra M Walczak
Journal:  Bioinformatics       Date:  2016-02-26       Impact factor: 6.937

4.  Overlapping hotspots in CDRs are critical sites for V region diversification.

Authors:  Lirong Wei; Richard Chahwan; Shanzhi Wang; Xiaohua Wang; Phuong T Pham; Myron F Goodman; Aviv Bergman; Matthew D Scharff; Thomas MacCarthy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

5.  Inferring processes underlying B-cell repertoire diversity.

Authors:  Yuval Elhanati; Zachary Sethna; Quentin Marcou; Curtis G Callan; Thierry Mora; Aleksandra M Walczak
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-05       Impact factor: 6.237

6.  Decreased mutation frequencies among immunoglobulin G variable region genes during viremic HIV-1 infection.

Authors:  Elisabeth Bowers; Ronald W Scamurra; Anil Asrani; Lydie Beniguel; Samantha MaWhinney; Kathryne M Keays; Joseph R Thurn; Edward N Janoff
Journal:  PLoS One       Date:  2014-01-07       Impact factor: 3.240

7.  Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation.

Authors:  Janice M Spence; John P Spence; Andrew Abumoussa; W Richard Burack
Journal:  Genome Med       Date:  2015-03-12       Impact factor: 11.117

8.  A regulatory role for NBS1 in strand-specific mutagenesis during somatic hypermutation.

Authors:  Likun Du; Deborah K Dunn-Walters; Krystyna H Chrzanowska; Tanja Stankovic; Ashwin Kotnis; Xin Li; Jiayi Lu; Gösta Eggertsen; Claire Brittain; Sergey W Popov; Andrew R Gennery; A Malcolm R Taylor; Qiang Pan-Hammarström
Journal:  PLoS One       Date:  2008-06-25       Impact factor: 3.240

Review 9.  Mutational signatures: the patterns of somatic mutations hidden in cancer genomes.

Authors:  Ludmil B Alexandrov; Michael R Stratton
Journal:  Curr Opin Genet Dev       Date:  2013-12-29       Impact factor: 5.578

10.  Models of somatic hypermutation targeting and substitution based on synonymous mutations from high-throughput immunoglobulin sequencing data.

Authors:  Gur Yaari; Jason A Vander Heiden; Mohamed Uduman; Daniel Gadala-Maria; Namita Gupta; Joel N H Stern; Kevin C O'Connor; David A Hafler; Uri Laserson; Francois Vigneault; Steven H Kleinstein
Journal:  Front Immunol       Date:  2013-11-15       Impact factor: 7.561

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