期刊论文详细信息
BMC Genomics
A Bead-based Normalization for Uniform Sequencing depth (BeNUS) protocol for multi-samples sequencing exemplified by HLA-B
Ituro Inoue2  Hideki Nagasaki1  Shigeki Mitsunaga3  Kazuyoshi Hosomichi2 
[1] Genome Informatics Laboratory, Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Shizuoka, Japan;Division of Human Genetics, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Shizuoka, Japan;Department of Molecular Life Sciences, Tokai University School of Medicine, 143 Shimokasuya, 259-1143 Isehara, Kanagawa, Japan
关键词: Next-generation sequencing;    HLA;   
Others  :  1216341
DOI  :  10.1186/1471-2164-15-645
 received in 2014-01-28, accepted in 2014-07-30,  发布年份 2014
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【 摘 要 】

Background

Human leukocyte antigen (HLA) is a group of genes that are extremely polymorphic among individuals and populations and have been associated with more than 100 different diseases and adverse drug effects. HLA typing is accordingly an important tool in clinical application, medical research, and population genetics. We have previously developed a phase-defined HLA gene sequencing method using MiSeq sequencing.

Results

Here we report a simple, high-throughput, and cost-effective sequencing method that includes normalized library preparation and adjustment of DNA molar concentration. We applied long-range PCR to amplify HLA-B for 96 samples followed by transposase-based library construction and multiplex sequencing with the MiSeq sequencer. After sequencing, we observed low variation in read percentages (0.2% to 1.55%) among the 96 demultiplexed samples. On this basis, all the samples were amenable to haplotype phasing using our phase-defined sequencing method. In our study, a sequencing depth of 800x was necessary and sufficient to achieve full phasing of HLA-B alleles with reliable assignment of the allelic sequence to the 8 digit level.

Conclusions

Our HLA sequencing method optimized for 96 multiplexing samples is highly time effective and cost effective and is especially suitable for automated multi-sample library preparation and sequencing.

【 授权许可】

   
2014 Hosomichi et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Hosomichi K, Jinam TA, Mitsunaga S, Nakaoka H, Inoue I: Phase-defined complete sequencing of the HLA genes by next-generation sequencing. BMC Genomics 2013, 14:355.
  • [2]Bentley G, Higuchi R, Hoglund B, Goodridge D, Sayer D, Trachtenberg EA, Erlich HA: High-resolution, high-throughput HLA genotyping by next-generation sequencing. Tissue Antigens 2009, 74:393-404.
  • [3]Lind C, Ferriola D, Mackiewicz K, Heron S, Rogers M, Slavich L, Walker R, Hsiao T, McLaughlin L, D'Arcy M, Gai X, Goodridge D, Sayer D, Monos D: Next-generation sequencing: the solution for high-resolution, unambiguous human leukocyte antigen typing. Hum Immunol 2010, 71:1033-1042.
  • [4]Erlich RL, Jia X, Anderson S, Banks E, Gao X, Carrington M, Gupta N, DePristo MA, Henn MR, Lennon NJ, de Bakker PI: Next-generation sequencing for HLA typing of class I loci. BMC Genomics 2011, 12:42.
  • [5]Wang C, Krishnakumar S, Wilhelmy J, Babrzadeh F, Stepanyan L, Su LF, Levinson D, Fernandez-Viña MA, Davis RW, Davis MM, Mindrinos M: High-throughput, high-fidelity HLA genotyping with deep sequencing. Proc Natl Acad Sci U S A 2012, 109:8676-8681.
  • [6]Lank SM, Wiseman RW, Dudley DM, O’Connor DH: A novel single cDNA amplicon pyrosequencing method for high-throughput, cost-effective sequence-based HLA class I genotyping. Hum Immunol 2010, 71:1011-1017.
  • [7]Lank SM, Golbach BA, Creager HM, Wiseman RW, Keskin DB, Reinherz EL, Brusic V, O'Connor DH: Ultra-high resolution HLA genotyping and allele discovery by highly multiplexed cDNA amplicon pyrosequencing. BMC Genomics 2012, 13:378.
  • [8]Shiina T, Suzuki S, Ozaki Y, Taira H, Kikkawa E, Shigenari A, Oka A, Umemura T, Joshita S, Takahashi O, Hayashi Y, Paumen M, Katsuyama Y, Mitsunaga S, Ota M, Kulski JK, Inoko H: Super high resolution for single molecule-sequence-based typing of classical HLA loci at the 8-digit level using next generation sequencers. Tissue Antigens 2012, 80:305-316.
  • [9]Quail MA, Smith M, Coupland P, Otto TD, Harris SR, Connor TR, Bertoni A, Swerdlow HP, Gu Y: A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers. BMC Genomics 2012, 13:341.
  • [10]Nagasaki H, Mochizuki T, Kaminuma E, Watanabe S, Morizaki S, Kodama Y, Saruhashi S, Takagi T, Okubo K, Nakamura Y: DDBJ read annotation pipeline: a cloud computing based pipeline for high-throughput analysis of next generation sequencing data. DNA Res 2013, 20:383-390.
  • [11]Thorvaldsdóttir H, Robinson JT, Mesirov JP: Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform 2013, 14:178-192.
  • [12]Kent WJ: BLAT–the BLAST-like alignment tool. Genome Res 2002, 12:656-664.
  • [13]Major E, Rigó K, Hague T, Bérces A, Juhos S: HLA typing from 1000 genomes whole genome and whole exome illumina data. PLoS One 2013, 8:e78410.
  • [14]Kulski JK, Suzuki S, Ozaki Y, Mitsunaga S, Inoko H, Shiina T: In phase HLA genotyping by next generation sequencing - a comparison between two massively parallel sequencing bench-top systems, the Roche GS Junior and ion torrent PGM. In HLA and Associated Important Diseases Edited by Xi Y. 2014, 143-181. InTech
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