Katsuyuki Saito
Thermo Fisher Scientific
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Featured researches published by Katsuyuki Saito.
Human Immunology | 2015
Jonathan Barone; Katsuyuki Saito; Karl Beutner; Maria Campo; Wei Dong; Chirayu P. Goswami; Erica S. Johnson; Zi-Xuan Wang; Susan Hsu
We have evaluated and validated the NXType™ workflow (One Lambda, Inc.) and the accompanying TypeStream™ software on the Ion Torrent Next Generation Sequencing (NGS) platform using a comprehensive testing panel. The panel consisted of 285 genomic DNA (gDNA) samples derived from four major ethnic populations and contained 59 PT samples and 226 clinical specimens. The total number of alleles from the six loci interrogated by NGS was 3420. This validation panel provided a wide range of HLA sequence variations including many rare alleles, new variants and homozygous alleles. The NXType™ system (reagents and software) was able to correctly genotype the vast majority of these specimens. The concordance rate between SBT-derived genotypes and those generated by TypeStream™ auto-analysis ranged from 99.5% to 99.8% for the HLA-A, B, C, DRB1 and DQB1 loci, and was 98.9% for HLA-DPB1. A strategy for data review was developed that would allow correction of most of the few remaining typing errors. The entire NGS workflow from gDNA amplification to genotype assignment could be completed within 3 working days. Through this validation study, the limitations and shortcomings of the platform, specific assay system, and software algorithm were also revealed for further evaluation and improvement.
PLOS ONE | 2016
Yuxin Yin; James Lan; David Nguyen; Nicole M. Valenzuela; Ping Takemura; Yung-Tsi Bolon; Brianna Springer; Katsuyuki Saito; Ying Zheng; Tim Hague; Agnes Pasztor; Gyorgy Horvath; Krisztina Rigo; Elaine F. Reed; Qiuheng Zhang
Background Unambiguous HLA typing is important in hematopoietic stem cell transplantation (HSCT), HLA disease association studies, and solid organ transplantation. However, current molecular typing methods only interrogate the antigen recognition site (ARS) of HLA genes, resulting in many cis-trans ambiguities that require additional typing methods to resolve. Here we report high-resolution HLA typing of 10,063 National Marrow Donor Program (NMDP) registry donors using long-range PCR by next generation sequencing (NGS) approach on buccal swab DNA. Methods Multiplex long-range PCR primers amplified the full-length of HLA class I genes (A, B, C) from promotor to 3’ UTR. Class II genes (DRB1, DQB1) were amplified from exon 2 through part of exon 4. PCR amplicons were pooled and sheared using Covaris fragmentation. Library preparation was performed using the Illumina TruSeq Nano kit on the Beckman FX automated platform. Each sample was tagged with a unique barcode, followed by 2×250 bp paired-end sequencing on the Illumina MiSeq. HLA typing was assigned using Omixon Twin software that combines two independent computational algorithms to ensure high confidence in allele calling. Consensus sequence and typing results were reported in Histoimmunogenetics Markup Language (HML) format. All homozygous alleles were confirmed by Luminex SSO typing and exon novelties were confirmed by Sanger sequencing. Results Using this automated workflow, over 10,063 NMDP registry donors were successfully typed under high-resolution by NGS. Despite known challenges of nucleic acid degradation and low DNA concentration commonly associated with buccal-based specimens, 97.8% of samples were successfully amplified using long-range PCR. Among these, 98.2% were successfully reported by NGS, with an accuracy rate of 99.84% in an independent blind Quality Control audit performed by the NDMP. In this study, NGS-HLA typing identified 23 null alleles (0.023%), 92 rare alleles (0.091%) and 42 exon novelties (0.042%). Conclusion Long-range, unambiguous HLA genotyping is achievable on clinical buccal swab-extracted DNA. Importantly, full-length gene sequencing and the ability to curate full sequence data will permit future interrogation of the impact of introns, expanded exons, and other gene regulatory sequences on clinical outcomes in transplantation.
Biochemistry | 1988
Jar How Lee; Joachim Ludwig Weickmann; Raju Kanaka Koduri; Pradip Ghosh-Dastidar; Katsuyuki Saito; Lindley Blair; Takayasu Date; Jiunu S. Lai; Stanley M. Hollenberg; Rick L. Kendall
BMC Genomics | 2015
Yuki Ozaki; Shingo Suzuki; Koichi Kashiwase; Atsuko Shigenari; Yuko Okudaira; Sayaka Ito; Anri Masuya; Fumihiro Azuma; Toshio Yabe; Satoko Morishima; Shigeki Mitsunaga; Masahiro Satake; Masao Ota; Yasuo Morishima; Jerzy K. Kulski; Katsuyuki Saito; Hidetoshi Inoko; Takashi Shiina
Archive | 2002
Katsuyuki Saito; Jar-How Lee; Lindley Blair
Human Immunology | 2014
Katsuyuki Saito; Karl Beutner; David Berman; Olivia Sanchez; Zhoutao Chen; Melvin Wei; Takashi Shiina; Hidetoshi Inoko; Jar-How Lee
Human Immunology | 2017
Susan H. Hsu; Jonathan Barone; Wei Dong; Lindley Blair; Harry Lopez; David Berman; Kevin Lam; Vadim Mozhayskiy; Jar-How Lee; Katsuyuki Saito
Human Immunology | 2017
Yuxin Yin; Ping Takemura; Yung-Tsi Bolon; Brianna Springer; Katsuyuki Saito; Elaine F. Reed; Qiuheng J. Zhang
Human Immunology | 2015
James H. Lan; Yuxin Yin; David Nguyen; Yung-Tsi Bolon; Brianna Springer; Katsuyuki Saito; David Berman; Tim Hague; Gyorgy Horvath; Krisztina Rigo; Elaine F. Reed; Qiuheng Zhang
Human Immunology | 2007
Katsuyuki Saito; Valerie Frasher; David Berman; Jar-How Lee; Dan Cook