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Selective reaction monitoring approach using structure-defined synthetic glycopeptides for validating glycopeptide biomarkers pre-determined by bottom-up glycoproteomics.
Shiratori, Kouta; Yokoi, Yasuhiro; Wakui, Hajime; Hirane, Nozomi; Otaki, Michiru; Hinou, Hiroshi; Yoneyama, Tohru; Hatakeyama, Shingo; Kimura, Satoshi; Ohyama, Chikara; Nishimura, Shin-Ichiro.
Afiliação
  • Shiratori K; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
  • Yokoi Y; ENU Pharma, Co., Ltd N7, W6, Kita-ku Sapporo 060-0807 Japan.
  • Wakui H; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
  • Hirane N; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
  • Otaki M; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
  • Hinou H; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
  • Yoneyama T; Department of Urology, Graduate School of Medicine, Hirosaki University Hirosaki 036-8562 Japan.
  • Hatakeyama S; Department of Urology, Graduate School of Medicine, Hirosaki University Hirosaki 036-8562 Japan.
  • Kimura S; Department of Laboratory Medicine and Central Clinical Laboratory, Showa University, Northern Yokohama Hospital Yokohama 224-8503 Japan.
  • Ohyama C; Department of Urology, Graduate School of Medicine, Hirosaki University Hirosaki 036-8562 Japan.
  • Nishimura SI; Field of Drug Discovery Research, Faculty of Advanced Life Science, and Graduate School of Life Science, Hokkaido University N21 W11, Kita-ku Sapporo 001-0021 Japan shin@sci.hokudai.ac.jp.
RSC Adv ; 12(33): 21385-21393, 2022 Jul 21.
Article em En | MEDLINE | ID: mdl-35975084
ABSTRACT
Clusterin is a heavily glycosylated protein that is upregulated in various cancer and neurological diseases. The findings by the Hancock and Iliopoulos group that levels of the tryptic glycopeptide derived from plasma clusterin, 372Leu-Ala-Asn-Leu-Thr-Gln-Gly-Glu-Asp-Gln-Tyr-Tyr-Leu-Arg385 with a biantennary disialyl N-glycan (A2G2S2 or FA2G2S2) at Asn374 differed significantly prior to and after curative nephrectomy for clear cell renal cell carcinoma (RCC) patients motivated us to verify the feasibility of this glycopeptide as a novel biomarker of RCC. To determine the precise N-glycan structure attached to Asn374, whether A2G2S2 is composed of the Neu5Acα2,3Gal or/and the Neu5Acα2,6Gal moiety, we synthesized key glycopeptides having one of the two putative isomers. Selective reaction monitoring assay using synthetic glycopeptides as calibration standards allowed "top-down glycopeptidomics" for the absolute quantitation of targeted label-free glycopeptides in a range from 313.3 to 697.5 nM in the complex tryptic digests derived from serum samples of RCC patients and healthy controls. Our results provided evidence that the Asn374 residue of human clusterin is modified dominantly with the Neu5Acα2,6Gal structure and the levels of clusterin bearing an A2G2S2 with homo Neu5Acα2,6Gal terminals at Asn374 decrease significantly in RCC patients as compared with healthy controls. The present study elicits that a new strategy integrating the bottom-up glycoproteomics with top-down glycopeptidomics using structure-defined synthetic glycopeptides enables the confident identification and quantitation of the glycopeptide targets pre-determined by the existing methods for intact glycopeptide profiling.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article