Your browser doesn't support javascript.
loading
Computational classification of core and outer fucosylation of N-glycoproteins in human plasma using collision-induced dissociation in mass spectrometry.
Jeong, Hoi Keun; Hwang, Heeyoun; Kang, Young-Mook; Lee, Hyun Kyoung; Park, Gun Wook; Lee, Ju Yeon; Kim, Dong Geun; Lee, Ji Won; Lee, Sang Yoon; An, Hyun Joo; Kim, Jin Young; Yoo, Jong Shin.
Afiliação
  • Jeong HK; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Hwang H; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Kang YM; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Lee HK; Drug Information Platform Center, Korea Research Institute of Chemical Technology, Daejeon, 34114, Republic of Korea.
  • Park GW; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Lee JY; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Kim DG; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Lee JW; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Lee SY; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • An HJ; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Kim JY; Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
  • Yoo JS; Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.
Rapid Commun Mass Spectrom ; 34(23): e8917, 2020 Dec 15.
Article em En | MEDLINE | ID: mdl-32754952
RATIONALE: Glycoprotein fucosylation, one of the major posttranslational modifications, is known to be highly involved in proteins related to various cancers. Fucosylation occurs in the core and/or outer sites of N-glycopeptides. Elucidation of the fucosylation type of N-glycoproteins is therefore important. However, it has remained a challenge to classify the fucosylation types of N-glycopeptides using collision-induced dissociation (CID) tandem mass (MS/MS) spectra. METHODS: The relative intensities of the Y1 F, Y2 F, Y3 F, and Y4 F product ions in the CID-MS/MS spectra of the IgG N-glycopeptides were measured for core fucosylation. The Core Fucose Index (CFI) was then calculated by multiplication of the relative intensities with a weight factor from logistic regression to differentiate between the core and none fucosylation. From the relative intensities of the B2 F and B3 SF ions of the MS/MS spectra of the AGP N-glycopeptides for outer fucosylation, the Outer Fucose Index (OFI) was calculated to differentiate between the outer and none fucosylation. RESULTS: In order to classify core and/or outer fucosylation of N-glycoproteins, we defined the fucosylation score (F-score) by a sigmoidal equation using a combination of the CFI and the OFI. For application, we classified the fucosylation types of N-glycoproteins in human plasma with 99.7% accuracy from the F-score. Human plasma samples showed 54.4%, 33.3%, 10.3%, and 1.6% for none, core, outer, and dual fucosylated N-glycopeptides, respectively. Core fucosylation was abundant at mono- and bi-antennary N-glycopeptides. Outer fucosylation was abundant at tri- and tetra-antennary N-glycopeptides. In total, 113 N-glycopeptides of 29 glycoproteins from 3365 glycopeptide spectral matches (GPSMs) were classified for different types of fucosylation. CONCLUSIONS: We established an F-score to classify three different fucosylation types: core, outer, and dual types of N-glycopeptides. The fucosylation types of 20 new N-glycopeptides from 11 glycoproteins in human plasma were classified using the F-score. Therefore, the F-score can be useful for the automatic classification of different types of fucosylation in N-glycoproteins of biological fluids including plasma, serum, and urine.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicoproteínas / Espectrometria de Massas em Tandem Limite: Adult / Humans / Male Idioma: En Revista: Rapid Commun Mass Spectrom Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicoproteínas / Espectrometria de Massas em Tandem Limite: Adult / Humans / Male Idioma: En Revista: Rapid Commun Mass Spectrom Ano de publicação: 2020 Tipo de documento: Article