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Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology
The impact of natural killer (NK) cell alloreactivity on hematopoietic stem cell transplantation (HSCT) outcome is still debated due to the complexity of graft parameters, HLA class I environment, the nature of killer cell immunoglobulin-like receptor (KIR)/KIR ligand genetic combinations studied, a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437120/ https://www.ncbi.nlm.nih.gov/pubmed/28579987 http://dx.doi.org/10.3389/fimmu.2017.00547 |
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author | Maniangou, Bercelin Legrand, Nolwenn Alizadeh, Mehdi Guyet, Ulysse Willem, Catherine David, Gaëlle Charpentier, Eric Walencik, Alexandre Retière, Christelle Gagne, Katia |
author_facet | Maniangou, Bercelin Legrand, Nolwenn Alizadeh, Mehdi Guyet, Ulysse Willem, Catherine David, Gaëlle Charpentier, Eric Walencik, Alexandre Retière, Christelle Gagne, Katia |
author_sort | Maniangou, Bercelin |
collection | PubMed |
description | The impact of natural killer (NK) cell alloreactivity on hematopoietic stem cell transplantation (HSCT) outcome is still debated due to the complexity of graft parameters, HLA class I environment, the nature of killer cell immunoglobulin-like receptor (KIR)/KIR ligand genetic combinations studied, and KIR(+) NK cell repertoire size. KIR genes are known to be polymorphic in terms of gene content, copy number variation, and number of alleles. These allelic polymorphisms may impact both the phenotype and function of KIR(+) NK cells. We, therefore, speculate that polymorphisms may alter donor KIR(+) NK cell phenotype/function thus modulating post-HSCT KIR(+) NK cell alloreactivity. To investigate KIR allele polymorphisms of all KIR genes, we developed a next-generation sequencing (NGS) technology on a MiSeq platform. To ensure the reliability and specificity of our method, genomic DNA from well-characterized cell lines were used; high-resolution KIR typing results obtained were then compared to those previously reported. Two different bioinformatic pipelines were used allowing the attribution of sequencing reads to specific KIR genes and the assignment of KIR alleles for each KIR gene. Our results demonstrated successful long-range KIR gene amplifications of all reference samples using intergenic KIR primers. The alignment of reads to the human genome reference (hg19) using BiRD pipeline or visualization of data using Profiler software demonstrated that all KIR genes were completely sequenced with a sufficient read depth (mean 317× for all loci) and a high percentage of mapping (mean 93% for all loci). Comparison of high-resolution KIR typing obtained to those published data using exome capture resulted in a reported concordance rate of 95% for centromeric and telomeric KIR genes. Overall, our results suggest that NGS can be used to investigate the broad KIR allelic polymorphism. Hence, these data improve our knowledge, not only on KIR(+) NK cell alloreactivity in HSCT but also on the role of KIR(+) NK cell populations in control of viral infections and diseases. |
format | Online Article Text |
id | pubmed-5437120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54371202017-06-02 Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology Maniangou, Bercelin Legrand, Nolwenn Alizadeh, Mehdi Guyet, Ulysse Willem, Catherine David, Gaëlle Charpentier, Eric Walencik, Alexandre Retière, Christelle Gagne, Katia Front Immunol Immunology The impact of natural killer (NK) cell alloreactivity on hematopoietic stem cell transplantation (HSCT) outcome is still debated due to the complexity of graft parameters, HLA class I environment, the nature of killer cell immunoglobulin-like receptor (KIR)/KIR ligand genetic combinations studied, and KIR(+) NK cell repertoire size. KIR genes are known to be polymorphic in terms of gene content, copy number variation, and number of alleles. These allelic polymorphisms may impact both the phenotype and function of KIR(+) NK cells. We, therefore, speculate that polymorphisms may alter donor KIR(+) NK cell phenotype/function thus modulating post-HSCT KIR(+) NK cell alloreactivity. To investigate KIR allele polymorphisms of all KIR genes, we developed a next-generation sequencing (NGS) technology on a MiSeq platform. To ensure the reliability and specificity of our method, genomic DNA from well-characterized cell lines were used; high-resolution KIR typing results obtained were then compared to those previously reported. Two different bioinformatic pipelines were used allowing the attribution of sequencing reads to specific KIR genes and the assignment of KIR alleles for each KIR gene. Our results demonstrated successful long-range KIR gene amplifications of all reference samples using intergenic KIR primers. The alignment of reads to the human genome reference (hg19) using BiRD pipeline or visualization of data using Profiler software demonstrated that all KIR genes were completely sequenced with a sufficient read depth (mean 317× for all loci) and a high percentage of mapping (mean 93% for all loci). Comparison of high-resolution KIR typing obtained to those published data using exome capture resulted in a reported concordance rate of 95% for centromeric and telomeric KIR genes. Overall, our results suggest that NGS can be used to investigate the broad KIR allelic polymorphism. Hence, these data improve our knowledge, not only on KIR(+) NK cell alloreactivity in HSCT but also on the role of KIR(+) NK cell populations in control of viral infections and diseases. Frontiers Media S.A. 2017-05-19 /pmc/articles/PMC5437120/ /pubmed/28579987 http://dx.doi.org/10.3389/fimmu.2017.00547 Text en Copyright © 2017 Maniangou, Legrand, Alizadeh, Guyet, Willem, David, Charpentier, Walencik, Retière and Gagne. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Maniangou, Bercelin Legrand, Nolwenn Alizadeh, Mehdi Guyet, Ulysse Willem, Catherine David, Gaëlle Charpentier, Eric Walencik, Alexandre Retière, Christelle Gagne, Katia Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title | Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title_full | Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title_fullStr | Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title_full_unstemmed | Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title_short | Killer Immunoglobulin-Like Receptor Allele Determination Using Next-Generation Sequencing Technology |
title_sort | killer immunoglobulin-like receptor allele determination using next-generation sequencing technology |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437120/ https://www.ncbi.nlm.nih.gov/pubmed/28579987 http://dx.doi.org/10.3389/fimmu.2017.00547 |
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