Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures
Abstract Glycans in tissues are structurally diverse and usually include a large number of isomers that cannot be easily distinguished by mass spectrometry (MS). To address this issue, we developed a combined method that can efficiently separate and identify glycan isomers. First, we separated 2-ami...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8f3aad031a6042d7841c7e943f01c5ae |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:8f3aad031a6042d7841c7e943f01c5ae |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:8f3aad031a6042d7841c7e943f01c5ae2021-12-02T16:31:13ZToward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures10.1038/s41598-021-84668-x2045-2322https://doaj.org/article/8f3aad031a6042d7841c7e943f01c5ae2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84668-xhttps://doaj.org/toc/2045-2322Abstract Glycans in tissues are structurally diverse and usually include a large number of isomers that cannot be easily distinguished by mass spectrometry (MS). To address this issue, we developed a combined method that can efficiently separate and identify glycan isomers. First, we separated 2-aminopyridine (PA)-derivatized N-glycans from chicken colon by reversed-phase liquid chromatography (LC) and directly analyzed them by electrospray ionization (ESI)-MS and MS/MS to obtain an overview of the structural features of tissue glycans. Next, we deduced the structures of isomers based on their elution positions, full MS, and MS/MS data, before or after digestions with several exoglycosidases. In this method, the elution position differed greatly depending on the core structure and branching pattern, allowing multiantennary N-glycan structures to be easily distinguished. To further determine linkages of branch sequences, we modified PA-N-glycans with sialic acid linkage-specific alkylamidation and/or permethylation, and analyzed the products by LC–MS and multistage MS. We determined the relative abundances of core structures, branching patterns, and branch sequences of N-glycans from chicken colon, and confirmed presence of characteristic branch sequences such as Lex, sialyl Lex, sulfated LacNAc, LacNAc repeat, and LacdiNAc. The results demonstrated that our method is useful for comparing N-glycomes among various tissue samples.Noriko SuzukiTatsuya AbeKen HanzawaShunji NatsukaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Noriko Suzuki Tatsuya Abe Ken Hanzawa Shunji Natsuka Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
description |
Abstract Glycans in tissues are structurally diverse and usually include a large number of isomers that cannot be easily distinguished by mass spectrometry (MS). To address this issue, we developed a combined method that can efficiently separate and identify glycan isomers. First, we separated 2-aminopyridine (PA)-derivatized N-glycans from chicken colon by reversed-phase liquid chromatography (LC) and directly analyzed them by electrospray ionization (ESI)-MS and MS/MS to obtain an overview of the structural features of tissue glycans. Next, we deduced the structures of isomers based on their elution positions, full MS, and MS/MS data, before or after digestions with several exoglycosidases. In this method, the elution position differed greatly depending on the core structure and branching pattern, allowing multiantennary N-glycan structures to be easily distinguished. To further determine linkages of branch sequences, we modified PA-N-glycans with sialic acid linkage-specific alkylamidation and/or permethylation, and analyzed the products by LC–MS and multistage MS. We determined the relative abundances of core structures, branching patterns, and branch sequences of N-glycans from chicken colon, and confirmed presence of characteristic branch sequences such as Lex, sialyl Lex, sulfated LacNAc, LacNAc repeat, and LacdiNAc. The results demonstrated that our method is useful for comparing N-glycomes among various tissue samples. |
format |
article |
author |
Noriko Suzuki Tatsuya Abe Ken Hanzawa Shunji Natsuka |
author_facet |
Noriko Suzuki Tatsuya Abe Ken Hanzawa Shunji Natsuka |
author_sort |
Noriko Suzuki |
title |
Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
title_short |
Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
title_full |
Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
title_fullStr |
Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
title_full_unstemmed |
Toward robust N-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
title_sort |
toward robust n-glycomics of various tissue samples that may contain glycans with unknown or unexpected structures |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/8f3aad031a6042d7841c7e943f01c5ae |
work_keys_str_mv |
AT norikosuzuki towardrobustnglycomicsofvarioustissuesamplesthatmaycontainglycanswithunknownorunexpectedstructures AT tatsuyaabe towardrobustnglycomicsofvarioustissuesamplesthatmaycontainglycanswithunknownorunexpectedstructures AT kenhanzawa towardrobustnglycomicsofvarioustissuesamplesthatmaycontainglycanswithunknownorunexpectedstructures AT shunjinatsuka towardrobustnglycomicsofvarioustissuesamplesthatmaycontainglycanswithunknownorunexpectedstructures |
_version_ |
1718383887269232640 |