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Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles

This study presents “mouse tissue glycome atlas” representing the profiles of major N-glycans of mouse glycoproteins that may define their essential functions in the surface glycocalyx of mouse organs/tissues and serum-derived extracellular vesicles (exosomes). Cell surface glycocalyx composed of a...

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Autores principales: Otaki, Michiru, Hirane, Nozomi, Natsume-Kitatani, Yayoi, Nogami Itoh, Mari, Shindo, Masanori, Kurebayashi, Yoichi, Nishimura, Shin-Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592591/
https://www.ncbi.nlm.nih.gov/pubmed/36280747
http://dx.doi.org/10.1038/s41598-022-21758-4
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author Otaki, Michiru
Hirane, Nozomi
Natsume-Kitatani, Yayoi
Nogami Itoh, Mari
Shindo, Masanori
Kurebayashi, Yoichi
Nishimura, Shin-Ichiro
author_facet Otaki, Michiru
Hirane, Nozomi
Natsume-Kitatani, Yayoi
Nogami Itoh, Mari
Shindo, Masanori
Kurebayashi, Yoichi
Nishimura, Shin-Ichiro
author_sort Otaki, Michiru
collection PubMed
description This study presents “mouse tissue glycome atlas” representing the profiles of major N-glycans of mouse glycoproteins that may define their essential functions in the surface glycocalyx of mouse organs/tissues and serum-derived extracellular vesicles (exosomes). Cell surface glycocalyx composed of a variety of N-glycans attached covalently to the membrane proteins, notably characteristic “N-glycosylation patterns” of the glycocalyx, plays a critical role for the regulation of cell differentiation, cell adhesion, homeostatic immune response, and biodistribution of secreted exosomes. Given that the integrity of cell surface glycocalyx correlates significantly with maintenance of the cellular morphology and homeostatic immune functions, dynamic alterations of N-glycosylation patterns in the normal glycocalyx caused by cellular abnormalities may serve as highly sensitive and promising biomarkers. Although it is believed that inter-organs variations in N-glycosylation patterns exist, information of the glycan diversity in mouse organs/tissues remains to be elusive. Here we communicate for the first-time N-glycosylation patterns of 16 mouse organs/tissues, serum, and serum-derived exosomes of Slc:ddY mice using an established solid-phase glycoblotting platform for the rapid, easy, and high throughput MALDI-TOFMS-based quantitative glycomics. The present results elicited occurrence of the organ/tissue-characteristic N-glycosylation patterns that can be discriminated to each other. Basic machine learning analysis using this N-glycome dataset enabled classification between 16 mouse organs/tissues with the highest F1 score (69.7–100%) when neural network algorithm was used. A preliminary examination demonstrated that machine learning analysis of mouse lung N-glycome dataset by random forest algorithm allows for the discrimination of lungs among the different mouse strains such as the outbred mouse Slc:ddY, inbred mouse DBA/2Crslc, and systemic lupus erythematosus model mouse MRL-lpr/lpr with the highest F1 score (74.5–83.8%). Our results strongly implicate importance of “human organ/tissue glycome atlas” for understanding the crucial and diversified roles of glycocalyx determined by the organ/tissue-characteristic N-glycosylation patterns and the discovery research for N-glycome-based disease-specific biomarkers and therapeutic targets.
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spelling pubmed-95925912022-10-26 Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles Otaki, Michiru Hirane, Nozomi Natsume-Kitatani, Yayoi Nogami Itoh, Mari Shindo, Masanori Kurebayashi, Yoichi Nishimura, Shin-Ichiro Sci Rep Article This study presents “mouse tissue glycome atlas” representing the profiles of major N-glycans of mouse glycoproteins that may define their essential functions in the surface glycocalyx of mouse organs/tissues and serum-derived extracellular vesicles (exosomes). Cell surface glycocalyx composed of a variety of N-glycans attached covalently to the membrane proteins, notably characteristic “N-glycosylation patterns” of the glycocalyx, plays a critical role for the regulation of cell differentiation, cell adhesion, homeostatic immune response, and biodistribution of secreted exosomes. Given that the integrity of cell surface glycocalyx correlates significantly with maintenance of the cellular morphology and homeostatic immune functions, dynamic alterations of N-glycosylation patterns in the normal glycocalyx caused by cellular abnormalities may serve as highly sensitive and promising biomarkers. Although it is believed that inter-organs variations in N-glycosylation patterns exist, information of the glycan diversity in mouse organs/tissues remains to be elusive. Here we communicate for the first-time N-glycosylation patterns of 16 mouse organs/tissues, serum, and serum-derived exosomes of Slc:ddY mice using an established solid-phase glycoblotting platform for the rapid, easy, and high throughput MALDI-TOFMS-based quantitative glycomics. The present results elicited occurrence of the organ/tissue-characteristic N-glycosylation patterns that can be discriminated to each other. Basic machine learning analysis using this N-glycome dataset enabled classification between 16 mouse organs/tissues with the highest F1 score (69.7–100%) when neural network algorithm was used. A preliminary examination demonstrated that machine learning analysis of mouse lung N-glycome dataset by random forest algorithm allows for the discrimination of lungs among the different mouse strains such as the outbred mouse Slc:ddY, inbred mouse DBA/2Crslc, and systemic lupus erythematosus model mouse MRL-lpr/lpr with the highest F1 score (74.5–83.8%). Our results strongly implicate importance of “human organ/tissue glycome atlas” for understanding the crucial and diversified roles of glycocalyx determined by the organ/tissue-characteristic N-glycosylation patterns and the discovery research for N-glycome-based disease-specific biomarkers and therapeutic targets. Nature Publishing Group UK 2022-10-24 /pmc/articles/PMC9592591/ /pubmed/36280747 http://dx.doi.org/10.1038/s41598-022-21758-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Otaki, Michiru
Hirane, Nozomi
Natsume-Kitatani, Yayoi
Nogami Itoh, Mari
Shindo, Masanori
Kurebayashi, Yoichi
Nishimura, Shin-Ichiro
Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title_full Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title_fullStr Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title_full_unstemmed Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title_short Mouse tissue glycome atlas 2022 highlights inter-organ variation in major N-glycan profiles
title_sort mouse tissue glycome atlas 2022 highlights inter-organ variation in major n-glycan profiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592591/
https://www.ncbi.nlm.nih.gov/pubmed/36280747
http://dx.doi.org/10.1038/s41598-022-21758-4
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