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Development of HLA-A, -B and -DR Typing Method Using Next-Generation Sequencing

차세대염기서열분석법을 이용한 HLA-A, -B 그리고 -DR 형별 분석법 개발

  • Received : 2018.04.23
  • Accepted : 2018.11.07
  • Published : 2018.12.31

Abstract

Background: Research on next-generation sequencing (NGS)-based HLA typing is active. To resolve the phase ambiguity and long turn-around-time of conventional high resolution HLA typing, this study developed a NGS-based high resolution HLA typing method that can handle large-scale samples within an efficient testing time. Methods: For HLA NGS, the condition of nucleic acid extraction, library construction, PCR mechanism, and HLA typing with bioinformatics were developed. To confirm the accuracy of the NGS-based HLA typing method, the results of 192 samples HLA typed by SSOP and 28 samples typed by SBT compared to NGS-based HLA-A, -B and -DR typing. Results: DNA library construction through two-step PCR, NGS sequencing with MiSeq (Illumina Inc., San Diego, USA), and the data analysis platform were established. NGS-based HLA typing results were compatible with known HLA types from 220 blood samples. Conclusion: The NSG-based HLA typing method could handle large volume samples with high-throughput. Therefore, it would be useful for HLA typing of bone marrow donation volunteers.

배경: 최근 차세대염기서열분석법(Next Generation Sequencing: NGS)을 이용한 HLA 형별 분석에 대한 연구가 활발히 진행되고 있다. 이에 HLA 고해상도 분석법의 내재적 한계인 위상 모호성의 문제를 해결하고, 대량 검체 처리가 가능한 NGS 기반 고해상도 HLA 형별 검사법을, 자체 기술로 개발하고자 본 연구를 실시하였다. 방법: HLA NGS를 위한 핵산 추출 조건, 라이브러리 제작 및 PCR 체계 확립, 그리고 생물정보학을 이용한 HLA 형별 분석법을 개발하였다. 본 기관에서 개발한 NGS 기반 HLA 형별 검사의 정확성을 알아보기 위해 SSOP법으로 HLA 형별을 알고 있는 192개 검체와 SBT법으로 HLA 형별을 알고 있는 28개 검체에 대해 NGS 기반으로 검사한 HLA-A, -B 그리고 -DR 형별 결과를 비교해 보았다. 결과: 두 단계의 PCR을 통한 DNA 라이브러리 제작과 MiSeq (Illumina Inc., San Diego, USA) 기기를 이용한 NGS 시퀸싱 그리고 데이터 분석 시스템을 구축하였다. 기존에 HLA 형별을 알고 있는 220개 혈액 검체에 대해 NGS 기반 HLA 형별검사 결과가 모두 일치함을 확인하였다. 결론: NSG 기반 HLA 형별 검사법은 많은 검체를 효율적인 시간 내에 처리가 가능하여 조혈모세포기증 희망자 HLA 검사 등에 유용할 것으로 기대된다.

Keywords

Acknowledgement

Supported by : 중소기업청

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