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Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing

Killer cell immunoglobulin-like receptors (KIR), considered the most polymorphic natural killer (NK) cell regulators, bind HLA class-I molecules or still unknown ligands. Interest in KIR genotyping is increasing because of the importance of these receptors for identifying the best possible donor in...

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Autores principales: Closa, Laia, Vidal, Francisco, Herrero, Maria J., Caro, Jose L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305729/
https://www.ncbi.nlm.nih.gov/pubmed/30619344
http://dx.doi.org/10.3389/fimmu.2018.02991
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author Closa, Laia
Vidal, Francisco
Herrero, Maria J.
Caro, Jose L.
author_facet Closa, Laia
Vidal, Francisco
Herrero, Maria J.
Caro, Jose L.
author_sort Closa, Laia
collection PubMed
description Killer cell immunoglobulin-like receptors (KIR), considered the most polymorphic natural killer (NK) cell regulators, bind HLA class-I molecules or still unknown ligands. Interest in KIR genotyping is increasing because of the importance of these receptors for identifying the best possible donor in hematopoietic stem cell transplantation to obtain a graft-versus-leukemia effect. Currently, routine protocols to determine the gene content of the KIR cluster are exclusively performed by PCR-SSO and PCR-SSP. To improve the study of these genes, we developed a multiplex, long-range PCR strategy suitable for simultaneous, high-resolution HLA class I and KIR genotyping by next generation sequencing (NGS). This protocol allows amplification of the 14 KIR genes, 2 KIR pseudogenes, and HLA class I genes, with subsequent sequencing on an Illumina platform. The bioinformatics analysis for KIR genotyping was performed by virtual hybridization of gene-specific probes, and HLA genotyping was done by GenDx NGSengine software. To validate the method reliability, 192 genomic DNA samples previously characterized by PCR-SSO were used. When a specific KIR gene was present, a large number of gene-specific virtual probes were detected, whereas when it was absent, very few or none were found, enabling cutoff establishment. Concordance for both the KIR and HLA assignments as compared with the previous characterization was 100%. In conclusion, the multiplex PCR NGS-based strategy presented could provide an efficient, less costly method for KIR-ligand genotyping by gene presence/absence. Furthermore, allele resolution will be possible when KIR-specific software becomes available.
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spelling pubmed-63057292019-01-07 Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing Closa, Laia Vidal, Francisco Herrero, Maria J. Caro, Jose L. Front Immunol Immunology Killer cell immunoglobulin-like receptors (KIR), considered the most polymorphic natural killer (NK) cell regulators, bind HLA class-I molecules or still unknown ligands. Interest in KIR genotyping is increasing because of the importance of these receptors for identifying the best possible donor in hematopoietic stem cell transplantation to obtain a graft-versus-leukemia effect. Currently, routine protocols to determine the gene content of the KIR cluster are exclusively performed by PCR-SSO and PCR-SSP. To improve the study of these genes, we developed a multiplex, long-range PCR strategy suitable for simultaneous, high-resolution HLA class I and KIR genotyping by next generation sequencing (NGS). This protocol allows amplification of the 14 KIR genes, 2 KIR pseudogenes, and HLA class I genes, with subsequent sequencing on an Illumina platform. The bioinformatics analysis for KIR genotyping was performed by virtual hybridization of gene-specific probes, and HLA genotyping was done by GenDx NGSengine software. To validate the method reliability, 192 genomic DNA samples previously characterized by PCR-SSO were used. When a specific KIR gene was present, a large number of gene-specific virtual probes were detected, whereas when it was absent, very few or none were found, enabling cutoff establishment. Concordance for both the KIR and HLA assignments as compared with the previous characterization was 100%. In conclusion, the multiplex PCR NGS-based strategy presented could provide an efficient, less costly method for KIR-ligand genotyping by gene presence/absence. Furthermore, allele resolution will be possible when KIR-specific software becomes available. Frontiers Media S.A. 2018-12-19 /pmc/articles/PMC6305729/ /pubmed/30619344 http://dx.doi.org/10.3389/fimmu.2018.02991 Text en Copyright © 2018 Closa, Vidal, Herrero and Caro. 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) and the copyright owner(s) 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
Closa, Laia
Vidal, Francisco
Herrero, Maria J.
Caro, Jose L.
Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title_full Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title_fullStr Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title_full_unstemmed Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title_short Design and Validation of a Multiplex KIR and HLA Class I Genotyping Method Using Next Generation Sequencing
title_sort design and validation of a multiplex kir and hla class i genotyping method using next generation sequencing
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305729/
https://www.ncbi.nlm.nih.gov/pubmed/30619344
http://dx.doi.org/10.3389/fimmu.2018.02991
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