Literature DB >> 10657647

The nucleotide-replacement spectrum under somatic hypermutation exhibits microsequence dependence that is strand-symmetric and distinct from that under germline mutation.

L G Cowell1, T B Kepler.   

Abstract

Somatic mutation is a fundamental component of acquired immunity. Although its molecular basis remains undetermined, the sequence specificity with which mutations are introduced has provided clues to the mechanism. We have analyzed data representing over 1700 unselected mutations in V gene introns and nonproductively rearranged V genes to identify the sequence specificity of the mutation spectrum-the distribution of resultant nucleotides. In other words, we sought to determine what effects the neighboring bases have on what a given base mutates "to." We find that both neighboring bases have a significant effect on the mutation spectrum. Their influences are complicated, but much of the effect can be characterized as enhancing homogeneity of the mutated DNA sequence. In contrast to what has been reported for the sequence specificity of the "targeting" mechanism, that of the spectrum is notably symmetric under complementation, indicating little if any strand bias. We compared the spectrum to that found previously for germline mutations as revealed by analyzing pseudogene sequences. We find that the influences of nearest neighbors are quite different in the two datasets. Altogether, our findings suggest that the mechanism of somatic hypermutation is complex, involving two or more stages: introduction of mis-pairs and their subsequent resolution, each with distinct sequence specificity and strand bias.

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Year:  2000        PMID: 10657647     DOI: 10.4049/jimmunol.164.4.1971

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


  18 in total

Review 1.  A new class of errant DNA polymerases provides candidates for somatic hypermutation.

Authors:  B Tippin; M F Goodman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-01-29       Impact factor: 6.237

2.  DNA breaks in hypermutating immunoglobulin genes: evidence for a break-and-repair pathway of somatic hypermutation.

Authors:  Q Kong; N Maizels
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

3.  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

4.  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

5.  Staged induction of HIV-1 glycan-dependent broadly neutralizing antibodies.

Authors:  Mattia Bonsignori; Edward F Kreider; Daniela Fera; R Ryan Meyerhoff; Todd Bradley; Kevin Wiehe; S Munir Alam; Baptiste Aussedat; William E Walkowicz; Kwan-Ki Hwang; Kevin O Saunders; Ruijun Zhang; Morgan A Gladden; Anthony Monroe; Amit Kumar; Shi-Mao Xia; Melissa Cooper; Mark K Louder; Krisha McKee; Robert T Bailer; Brendan W Pier; Claudia A Jette; Garnett Kelsoe; Wilton B Williams; Lynn Morris; John Kappes; Kshitij Wagh; Gift Kamanga; Myron S Cohen; Peter T Hraber; David C Montefiori; Ashley Trama; Hua-Xin Liao; Thomas B Kepler; M Anthony Moody; Feng Gao; Samuel J Danishefsky; John R Mascola; George M Shaw; Beatrice H Hahn; Stephen C Harrison; Bette T Korber; Barton F Haynes
Journal:  Sci Transl Med       Date:  2017-03-15       Impact factor: 17.956

6.  Integrating B cell lineage information into statistical tests for detecting selection in Ig sequences.

Authors:  Mohamed Uduman; Mark J Shlomchik; Francois Vigneault; George M Church; Steven H Kleinstein
Journal:  J Immunol       Date:  2013-12-27       Impact factor: 5.422

7.  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

8.  Detecting selection in immunoglobulin sequences.

Authors:  Mohamed Uduman; Gur Yaari; Uri Hershberg; Jacob A Stern; Mark J Shlomchik; Steven H Kleinstein
Journal:  Nucleic Acids Res       Date:  2011-06-10       Impact factor: 16.971

9.  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

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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