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High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)

BACKGROUND: Highly polymorphic human leukocyte antigen (HLA) genes are responsible for fine-tuning the adaptive immune system. High-resolution HLA typing is important for the treatment of autoimmune and infectious diseases. Additionally, it is routinely performed for identifying matched donors in tr...

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Autores principales: Jiao, Yang, Li, Ran, Wu, Chao, Ding, Yibin, Liu, Yanning, Jia, Danmei, Wang, Lifeng, Xu, Xiang, Zhu, Jing, Zheng, Min, Jia, Junling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769328/
https://www.ncbi.nlm.nih.gov/pubmed/29334893
http://dx.doi.org/10.1186/s12864-018-4431-5
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author Jiao, Yang
Li, Ran
Wu, Chao
Ding, Yibin
Liu, Yanning
Jia, Danmei
Wang, Lifeng
Xu, Xiang
Zhu, Jing
Zheng, Min
Jia, Junling
author_facet Jiao, Yang
Li, Ran
Wu, Chao
Ding, Yibin
Liu, Yanning
Jia, Danmei
Wang, Lifeng
Xu, Xiang
Zhu, Jing
Zheng, Min
Jia, Junling
author_sort Jiao, Yang
collection PubMed
description BACKGROUND: Highly polymorphic human leukocyte antigen (HLA) genes are responsible for fine-tuning the adaptive immune system. High-resolution HLA typing is important for the treatment of autoimmune and infectious diseases. Additionally, it is routinely performed for identifying matched donors in transplantation medicine. Although many HLA typing approaches have been developed, the complexity, low-efficiency and high-cost of current HLA-typing assays limit their application in population-based high-throughput HLA typing for donors, which is required for creating large-scale databases for transplantation and precision medicine. RESULTS: Here, we present a cost-efficient Saturated Tiling Capture Sequencing (STC-Seq) approach to capturing 14 HLA class I and II genes. The highly efficient capture (an approximately 23,000-fold enrichment) of these genes allows for simplified allele calling. Tests on five genes (HLA-A/B/C/DRB1/DQB1) from 31 human samples and 351 datasets using STC-Seq showed results that were 98% consistent with the known two sets of digitals (field1 and field2) genotypes. Additionally, STC can capture genomic DNA fragments longer than 3 kb from HLA loci, making the library compatible with the third-generation sequencing. CONCLUSIONS: STC-Seq is a highly accurate and cost-efficient method for HLA typing which can be used to facilitate the establishment of population-based HLA databases for the precision and transplantation medicine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4431-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-57693282018-01-25 High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq) Jiao, Yang Li, Ran Wu, Chao Ding, Yibin Liu, Yanning Jia, Danmei Wang, Lifeng Xu, Xiang Zhu, Jing Zheng, Min Jia, Junling BMC Genomics Methodology Article BACKGROUND: Highly polymorphic human leukocyte antigen (HLA) genes are responsible for fine-tuning the adaptive immune system. High-resolution HLA typing is important for the treatment of autoimmune and infectious diseases. Additionally, it is routinely performed for identifying matched donors in transplantation medicine. Although many HLA typing approaches have been developed, the complexity, low-efficiency and high-cost of current HLA-typing assays limit their application in population-based high-throughput HLA typing for donors, which is required for creating large-scale databases for transplantation and precision medicine. RESULTS: Here, we present a cost-efficient Saturated Tiling Capture Sequencing (STC-Seq) approach to capturing 14 HLA class I and II genes. The highly efficient capture (an approximately 23,000-fold enrichment) of these genes allows for simplified allele calling. Tests on five genes (HLA-A/B/C/DRB1/DQB1) from 31 human samples and 351 datasets using STC-Seq showed results that were 98% consistent with the known two sets of digitals (field1 and field2) genotypes. Additionally, STC can capture genomic DNA fragments longer than 3 kb from HLA loci, making the library compatible with the third-generation sequencing. CONCLUSIONS: STC-Seq is a highly accurate and cost-efficient method for HLA typing which can be used to facilitate the establishment of population-based HLA databases for the precision and transplantation medicine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4431-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-15 /pmc/articles/PMC5769328/ /pubmed/29334893 http://dx.doi.org/10.1186/s12864-018-4431-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Jiao, Yang
Li, Ran
Wu, Chao
Ding, Yibin
Liu, Yanning
Jia, Danmei
Wang, Lifeng
Xu, Xiang
Zhu, Jing
Zheng, Min
Jia, Junling
High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title_full High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title_fullStr High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title_full_unstemmed High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title_short High-sensitivity HLA typing by Saturated Tiling Capture Sequencing (STC-Seq)
title_sort high-sensitivity hla typing by saturated tiling capture sequencing (stc-seq)
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5769328/
https://www.ncbi.nlm.nih.gov/pubmed/29334893
http://dx.doi.org/10.1186/s12864-018-4431-5
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