Title: SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides

Type Dataset Schulze, Stefan, Oltmanns, Anne, Fufezan, Christian, Mormann, Michael, Pohlschröder, Mechthild, Hippler, Michael (2020): SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides. Zenodo. Dataset. https://zenodo.org/record/4131246

Authors: Schulze, Stefan (University of Pennsylvania) ; Oltmanns, Anne (University of Muenster) ; Fufezan, Christian (Heidelberg University) ; Mormann, Michael (University of Muenster) ; Pohlschröder, Mechthild (University of Pennsylvania) ; Hippler, Michael (University of Muenster) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Protein glycosylation is a complex post-translational modification with crucial cellular functions in all domains of life. Currently, large-scale glycoproteomics approaches rely on glycan database dependent algorithms and are thus unsuitable for discovery-driven analyses of glycoproteomes. Therefore, we devised SugarPy, a glycan database independent Python module, and validated it on the glycoproteome of human breast milk. We further demonstrated its applicability by analyzing glycoproteomes with uncommon glycans stemming from the green algae Chlamydomonas reinhardtii and the archaeon Haloferax volcanii. SugarPy also facilitated the novel characterization of glycoproteins from the red alga Cyanidioschyzon merolae.

Provided here are, for each species:

In addition, for Homo sapiens and Chlamydomonas reinhardtii, the following is included:

Furthermore, a SugarPy example_data folder is provided that can be used with the SugarPy example scripts.

The source code for SugarPy can be found on GitHub: https://github.com/SugarPy/SugarPy

More information

• DOI: 10.5281/zenodo.4131246

Subjects

• glycosylation, glycoproteomics, bioinformatics

Dates

• Publication date: 2020
• Issued: October 25, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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