Classification of small blue round cell tumors by integrating peptide and N-glycan mass imaging spectrometric profiles
Peptide and N-glycan MSI has huge potential and is a promising tool to discriminate different SBRCT entities. Combining mass spectrometry imaging data from peptides and N-glycans even enhanced classification performance. At the same time, the results underline the importance of an accurate spatial mapping to create such integrated data sets.
Authors
- Alice Ly (ORCID: https://orcid.org/0000-0002-0827-6840)
- Kristina Schwamborn (ORCID: https://orcid.org/0000-0003-3717-0823)
- Juliana Pereira Lopes Gonçalves (ORCID: https://orcid.org/0000-0002-6634-9876)
- Christine Bollwein (ORCID: https://orcid.org/0000-0002-3744-9376)
- Nathan Heath Patterson (ORCID: https://orcid.org/0000-0002-0064-1583)
- Naomi O'Sullivan
Institutions
- Technical University of Munich (DE)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1016/j.aca.2025.344614
- Primary Topic
- Glycosylation and Glycoproteins Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft