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Hokkaido University Collection of Scholarly and Academic Papers >
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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 |
| Authors: | Otaki, Michiru Browse this author | | Hirane, Nozomi Browse this author | | Natsume-Kitatani, Yayoi Browse this author | | Nogami-Itoh, Mari Browse this author | | Shindo, Masanori Browse this author | | Kurebayashi, Yoichi Browse this author | | Nishimura, Shin-Ichiro Browse this author →KAKEN DB |
| Issue Date: | 24-Oct-2022 |
| Publisher: | Nature Portfolio |
| Journal Title: | Scientific reports |
| Volume: | 12 |
| Issue: | 1 |
| Start Page: | 17804 |
| Publisher DOI: | 10.1038/s41598-022-21758-4 |
| Abstract: | 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. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/87274 |
| Appears in Collections: | 生命科学院・先端生命科学研究院 (Graduate School of Life Science / Faculty of Advanced Life Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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