Publication:
Identifying highly mutated IGHD genes in the junctions of rearranged human immunoglobulin heavy chain genes

dc.contributor.author Jackson, Katherine en_US
dc.contributor.author Gaeta, Bruno en_US
dc.contributor.author Collins, Andrew en_US
dc.date.accessioned 2021-11-25T13:23:30Z
dc.date.available 2021-11-25T13:23:30Z
dc.date.issued 2007 en_US
dc.description.abstract The reliable identification of IGHD genes within human immunoglobulin heavy chains is challenging with up to one third of rearrangements having no identifiable IGHD gene. The short, mutated IGHD genes are generally assumed to be indistinguishable from the N-REGIONS of non-template encoded nucleotides that surround them. In this study we have characterised N-REGIONS, demonstrating the importance of nucleotide composition biases in the addition process, including the formation of homopolymer tracts. We then use a simulation approach to determine the likelihood of misidentification of highly mutated IGHD genes among the JUNCTION nucleotides. These likelihoods provide general rules for the identification of mutated D-REGIONs, and suggest that longer D-REGIONs (>25 nucleotides) with as many as ten mutations can be identified with a low risk of error. Shorter D-REGIONs (> 16 nucleotides) with as many as four mutations are also identifiable. The reliability of different alignments is dependent upon the junction length (combined N-REGIONs and D-REGION). Data is presented that can guide the alignment of sequences with junction lengths from 5 to 50 nucleotides, including explicit selection between two D-REGION possibilities. The use of such a statistically-based approach to the alignment of IGHD genes will improve the reliability of the partitioning of immunoglobulin sequences, and this in turn will facilitate the study of the many processes that contribute to the diversity of the immunoglobulin repertoire. (C) 2007 Elsevier B.V. All rights reserved. en_US
dc.identifier.issn 0022-1759 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39534
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other heavy chain en_US
dc.subject.other IGHD genes en_US
dc.subject.other immunoglobulin en_US
dc.subject.other Monte Carlo simulations en_US
dc.subject.other partitioning en_US
dc.title Identifying highly mutated IGHD genes in the junctions of rearranged human immunoglobulin heavy chain genes en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.identifier.doiPublisher http://dx.doi.org/10.1016/j.jim.2007.04.011 en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 1-2 en_US
unsw.relation.ispartofjournal Journal of Immunological Methods en_US
unsw.relation.ispartofpagefrompageto 26-37 en_US
unsw.relation.ispartofvolume 324 en_US
unsw.relation.originalPublicationAffiliation Jackson, Katherine, Biotechnology & Biomolecular Sciences, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Gaeta, Bruno, Biotechnology & Biomolecular Sciences, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Collins, Andrew, Biotechnology & Biomolecular Sciences, Faculty of Science, UNSW en_US
unsw.relation.school School of Biotechnology & Biomolecular Sciences *
Files
Resource type