Literature DB >> 33188076

Position-Dependent Differential Targeting of Somatic Hypermutation.

Julian Q Zhou1, Steven H Kleinstein2,3.   

Abstract

Somatic hypermutation (SHM) generates much of the Ab diversity necessary for affinity maturation and effective humoral immunity. The activation-induced cytidine deaminase-induced DNA lesions and error-prone repair that underlie SHM are known to exhibit intrinsic biases when targeting the Ig sequences. Computational models for SHM targeting often model the targeting probability of a nucleotide in a motif-based fashion, assuming that the same DNA motif is equally likely to be targeted regardless of its position along the Ig sequence. The validity of this assumption, however, has not been rigorously studied in vivo. In this study, by analyzing a large collection of 956,157 human Ig sequences while controlling for the confounding influence of selection, we show that the likelihood of a DNA 5-mer motif being targeted by SHM is not the same at different positions in the same Ig sequence. We found position-dependent differential SHM targeting for about three quarters of the 38 and 269 unique motifs from more than half of the 292 and 1912 motif-allele pairs analyzed using productive and nonproductive Ig sequences, respectively. The direction of the differential SHM targeting was largely conserved across individuals with no allele-specific effect within an IgH variable gene family, but was not consistent with general decay of SHM targeting with increasing distance from the transcription start site. However, SHM targeting did correlate positively with the mutability of the wider sequence neighborhood surrounding the motif. These findings provide insights and future directions for computational efforts toward modeling SHM.
Copyright © 2020 by The American Association of Immunologists, Inc.

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Year:  2020        PMID: 33188076      PMCID: PMC7726104          DOI: 10.4049/jimmunol.2000496

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


  51 in total

1.  The intrinsic hypermutability of antibody heavy and light chain genes decays exponentially.

Authors:  C Rada; C Milstein
Journal:  EMBO J       Date:  2001-08-15       Impact factor: 11.598

2.  A Model of Somatic Hypermutation Targeting in Mice Based on High-Throughput Ig Sequencing Data.

Authors:  Ang Cui; Roberto Di Niro; Jason A Vander Heiden; Adrian W Briggs; Kris Adams; Tamara Gilbert; Kevin C O'Connor; Francois Vigneault; Mark J Shlomchik; Steven H Kleinstein
Journal:  J Immunol       Date:  2016-10-05       Impact factor: 5.422

3.  Predicting regional mutability in antibody V genes based solely on di- and trinucleotide sequence composition.

Authors:  G S Shapiro; K Aviszus; D Ikle; L J Wysocki
Journal:  J Immunol       Date:  1999-07-01       Impact factor: 5.422

4.  Somatic hypermutation targeting is influenced by location within the immunoglobulin V region.

Authors:  Reuma Magori Cohen; Steven H Kleinstein; Yoram Louzoun
Journal:  Mol Immunol       Date:  2011-05-18       Impact factor: 4.407

5.  Hierarchical Clustering Can Identify B Cell Clones with High Confidence in Ig Repertoire Sequencing Data.

Authors:  Namita T Gupta; Kristofor D Adams; Adrian W Briggs; Sonia C Timberlake; Francois Vigneault; Steven H Kleinstein
Journal:  J Immunol       Date:  2017-02-08       Impact factor: 5.422

6.  Di- and trinucleotide target preferences of somatic mutagenesis in normal and autoreactive B cells.

Authors:  D S Smith; G Creadon; P K Jena; J P Portanova; B L Kotzin; L J Wysocki
Journal:  J Immunol       Date:  1996-04-01       Impact factor: 5.422

7.  Generation of antibody diversity in the immune response of BALB/c mice to influenza virus hemagglutinin.

Authors:  D McKean; K Huppi; M Bell; L Staudt; W Gerhard; M Weigert
Journal:  Proc Natl Acad Sci U S A       Date:  1984-05       Impact factor: 11.205

8.  Quantifying selection in high-throughput Immunoglobulin sequencing data sets.

Authors:  Gur Yaari; Mohamed Uduman; Steven H Kleinstein
Journal:  Nucleic Acids Res       Date:  2012-05-27       Impact factor: 16.971

Review 9.  Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.

Authors:  Chaim A Schramm; Daniel C Douek
Journal:  Front Immunol       Date:  2018-08-14       Impact factor: 7.561

10.  Individual heritable differences result in unique cell lymphocyte receptor repertoires of naïve and antigen-experienced cells.

Authors:  Florian Rubelt; Christopher R Bolen; Helen M McGuire; Jason A Vander Heiden; Daniel Gadala-Maria; Mikhail Levin; Ghia M Euskirchen; Murad R Mamedov; Gary E Swan; Cornelia L Dekker; Lindsay G Cowell; Steven H Kleinstein; Mark M Davis
Journal:  Nat Commun       Date:  2016-03-23       Impact factor: 14.919

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Journal:  Methods Mol Biol       Date:  2022

2.  Somatic Diversification of Rearranged Antibody Gene Segments by Intra- and Interchromosomal Templated Mutagenesis.

Authors:  Gordon A Dale; Daniel J Wilkins; Jordan Rowley; Christopher D Scharer; Christopher M Tipton; Jennifer Hom; Jeremy M Boss; Victor Corces; Ignacio Sanz; Joshy Jacob
Journal:  J Immunol       Date:  2022-04-13       Impact factor: 5.422

Review 3.  Vitamin C and its therapeutic potential in the management of COVID19.

Authors:  Neethu Rs; M V N Janardhan Reddy; Sakshi Batra; Sunil Kumar Srivastava; Kirtimaan Syal
Journal:  Clin Nutr ESPEN       Date:  2022-06-04

4.  Deep learning model of somatic hypermutation reveals importance of sequence context beyond hotspot targeting.

Authors:  Catherine Tang; Artem Krantsevich; Thomas MacCarthy
Journal:  iScience       Date:  2021-12-20
  4 in total

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