Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice
Johannes Helm,
Stefan Mereiter,
Tiago Oliveira,
Anna Gattinger,
David M. Markovitz,
Josef M. Penninger,
Friedrich Altmann and
Johannes Stadlmann ()
Additional contact information
Johannes Helm: Muthgasse 18
Stefan Mereiter: Spitalgasse 23
Tiago Oliveira: Spitalgasse 23
Anna Gattinger: Dr. Bohr-Gasse 3
David M. Markovitz: University of Michigan
Josef M. Penninger: Spitalgasse 23
Friedrich Altmann: Muthgasse 18
Johannes Stadlmann: Muthgasse 18
Nature Communications, 2024, vol. 15, issue 1, 1-16
Abstract:
Abstract N-glycosylation is one of the most common protein modifications in eukaryotes, with immense importance at the molecular, cellular, and organismal level. Accurate and reliable N-glycan analysis is essential to obtain a systems-wide understanding of fundamental biological processes. Due to the structural complexity of glycans, their analysis is still highly challenging. Here we make publicly available a consistent N-glycome dataset of 20 different mouse tissues and demonstrate a multimodal data analysis workflow that allows for unprecedented depth and coverage of N-glycome features. This highly scalable, LC-MS/MS data-driven method integrates the automated identification of N-glycan spectra, the application of non-targeted N-glycome profiling strategies and the isomer-sensitive analysis of glycan structures. Our delineation of critical sub-structural determinants and glycan isomers across the mouse N-glycome uncovered tissue-specific glycosylation patterns, the expression of non-canonical N-glycan structures and highlights multiple layers of N-glycome complexity that derive from organ-specific regulations of glycobiological pathways.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-024-54134-z Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54134-z
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-024-54134-z
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().