Literature DB >> 29260260

On being the right size: antibody repertoire formation in the mouse and human.

Andrew M Collins1, Katherine J L Jackson2.   

Abstract

The immune systems of all mammals include populations of B cells producing antibodies with incredibly diverse specificities. Repertoire diversity has been described as the "miracle of immunology," and it was long thought to be the result of essentially stochastic processes. Recently, however, analysis of high throughput gene sequencing data has shown that hard-wired biases in these processes result in antibody repertoires that are broadly predictable. The repertoires of mice and humans are both predictable, but they are strikingly different. In this review, features of the naïve antibody repertoires of the two species are contrasted. We show that the mouse repertoire includes a conspicuous population of public clonotypes that are shared by different individuals of an inbred strain. These clonotypes are the result of gene rearrangements that involve little gene processing. By skewing repertoire formation toward such sequences, which probably target commonly encountered pathogens, it may be that the relatively small mouse repertoire is appropriate and effective despite its size. Species like the mouse face challenges that are a direct consequence of their small body sizes and the limitations this places on the antibody arsenal-particularly early in ontogeny. We propose that it is the differences in the naïve repertoires of mice and humans, and the differences in the ways these repertoires are used, which ensure that the very different biological needs of the two species are met. The processes that contribute to repertoire formation may appear to be stochastic, but in both species, evolution has left little to chance.

Entities:  

Keywords:  Antibody repertoires; Comparative immunology; Humoral immunity; Public clonotypes; Scaling and the immune system; V(D)J recombination

Mesh:

Substances:

Year:  2017        PMID: 29260260     DOI: 10.1007/s00251-017-1049-8

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


  149 in total

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Authors:  N-O Chimge; S Pramanik; G Hu; Y Lin; R Gao; L Shen; H Li
Journal:  Genes Immun       Date:  2005-05       Impact factor: 2.676

Review 2.  V(D)J recombination: mechanisms of initiation.

Authors:  David G Schatz; Patrick C Swanson
Journal:  Annu Rev Genet       Date:  2011-08-19       Impact factor: 16.830

3.  Nucleotide deletion and P addition in V(D)J recombination: a determinant role of the coding-end sequence.

Authors:  B Nadel; A J Feeney
Journal:  Mol Cell Biol       Date:  1997-07       Impact factor: 4.272

4.  Statistical inference of the generation probability of T-cell receptors from sequence repertoires.

Authors:  Anand Murugan; Thierry Mora; Aleksandra M Walczak; Curtis G Callan
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

5.  Developmentally controlled expression of immunoglobulin VH genes.

Authors:  R M Perlmutter; J F Kearney; S P Chang; L E Hood
Journal:  Science       Date:  1985-03-29       Impact factor: 47.728

6.  Predominance of the prototypic T15 anti-phosphorylcholine junctional sequence in neonatal pre-B cells.

Authors:  A J Feeney
Journal:  J Immunol       Date:  1991-12-15       Impact factor: 5.422

7.  Sequencing of the human IG light chain loci from a hydatidiform mole BAC library reveals locus-specific signatures of genetic diversity.

Authors:  Corey T Watson; Karyn Meltz Steinberg; Tina A Graves; Rene L Warren; Maika Malig; Jacqueline Schein; Richard K Wilson; Robert A Holt; Evan E Eichler; Felix Breden
Journal:  Genes Immun       Date:  2014-10-23       Impact factor: 2.676

8.  The regulated expression of B lineage associated genes during B cell differentiation in bone marrow and fetal liver.

Authors:  Y S Li; K Hayakawa; R R Hardy
Journal:  J Exp Med       Date:  1993-09-01       Impact factor: 14.307

9.  Large-scale analysis of human heavy chain V(D)J recombination patterns.

Authors:  Joseph M Volpe; Thomas B Kepler
Journal:  Immunome Res       Date:  2008-02-27

10.  The complete nucleotide sequence of the human immunoglobulin heavy chain variable region locus.

Authors:  F Matsuda; K Ishii; P Bourvagnet; K i Kuma; H Hayashida; T Miyata; T Honjo
Journal:  J Exp Med       Date:  1998-12-07       Impact factor: 14.307

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  11 in total

Review 1.  How repertoire data are changing antibody science.

Authors:  Claire Marks; Charlotte M Deane
Journal:  J Biol Chem       Date:  2020-05-14       Impact factor: 5.157

2.  A BALB/c IGHV Reference Set, Defined by Haplotype Analysis of Long-Read VDJ-C Sequences From F1 (BALB/c x C57BL/6) Mice.

Authors:  Katherine J L Jackson; Justin T Kos; William Lees; William S Gibson; Melissa Laird Smith; Ayelet Peres; Gur Yaari; Martin Corcoran; Christian E Busse; Mats Ohlin; Corey T Watson; Andrew M Collins
Journal:  Front Immunol       Date:  2022-06-03       Impact factor: 8.786

Review 3.  Breaking the law: unconventional strategies for antibody diversification.

Authors:  Alexia Kanyavuz; Annaelle Marey-Jarossay; Sébastien Lacroix-Desmazes; Jordan D Dimitrov
Journal:  Nat Rev Immunol       Date:  2019-06       Impact factor: 53.106

Review 4.  Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

Authors:  Enkelejda Miho; Alexander Yermanos; Cédric R Weber; Christoph T Berger; Sai T Reddy; Victor Greiff
Journal:  Front Immunol       Date:  2018-02-21       Impact factor: 7.561

5.  AID Overlapping and Polη Hotspots Are Key Features of Evolutionary Variation Within the Human Antibody Heavy Chain (IGHV) Genes.

Authors:  Catherine Tang; Davide Bagnara; Nicholas Chiorazzi; Matthew D Scharff; Thomas MacCarthy
Journal:  Front Immunol       Date:  2020-04-30       Impact factor: 7.561

Review 6.  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

7.  Aromatic Guanylhydrazones for the Control of Heme-Induced Antibody Polyreactivity.

Authors:  Nina Božinović; Vladimir Ajdačić; Jelena Lazic; Maxime Lecerf; Victoria Daventure; Jasmina Nikodinovic-Runic; Igor M Opsenica; Jordan D Dimitrov
Journal:  ACS Omega       Date:  2019-11-22

8.  Immunoglobulins with Non-Canonical Functions in Inflammatory and Autoimmune Disease States.

Authors:  Evgeny A Ermakov; Georgy A Nevinsky; Valentina N Buneva
Journal:  Int J Mol Sci       Date:  2020-07-29       Impact factor: 5.923

Review 9.  Immunoglobulin Light Chain Gene Rearrangements, Receptor Editing and the Development of a Self-Tolerant Antibody Repertoire.

Authors:  Andrew M Collins; Corey T Watson
Journal:  Front Immunol       Date:  2018-10-08       Impact factor: 7.561

Review 10.  Defining best practices for tissue procurement in immuno-oncology clinical trials: consensus statement from the Society for Immunotherapy of Cancer Surgery Committee.

Authors:  Brian Gastman; Piyush K Agarwal; Adam Berger; Genevieve Boland; Stephen Broderick; Lisa H Butterfield; David Byrd; Peter E Fecci; Robert L Ferris; Yuman Fong; Stephanie L Goff; Matthew M Grabowski; Fumito Ito; Michael Lim; Michael T Lotze; Haider Mahdi; Mokenge Malafa; Carol D Morris; Pranav Murthy; Rogerio I Neves; Adekunle Odunsi; Sara I Pai; Sangeetha Prabhakaran; Steven A Rosenberg; Ragheed Saoud; Jyothi Sethuraman; Joseph Skitzki; Craig L Slingluff; Vernon K Sondak; John B Sunwoo; Simon Turcotte; Cecilia Cs Yeung; Howard L Kaufman
Journal:  J Immunother Cancer       Date:  2020-11       Impact factor: 12.469

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