Author

M. Baerenfaenger

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

A. J. van Gool· 2 shared D. J. Lefeber· 2 shared H. J. Wessels· 2 shared M. A. Post· 2 shared C. Wijnands· 1 shared F. S. M. Zijlstra· 1 shared I. Joosten· 1 shared J. F. M. Jacobs· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBiochemistry

A. J. van Gool

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Author profile →

2 papers

Recent·Most cited

Maximizing glycoproteomics results through an integrated PASEF workflow

M. Baerenfaenger, M. A. Post, F. S. M. Zijlstra, A. J. van Gool, D. J. Lefeber, H. J. Wessels

The paper develops an optimized PASEF workflow for glycoproteomics, significantly increasing N-glycopeptide identifications in human plasma.

bioRxiv · Dec 21, 2023 · PreprintBiochemistry

N-linked glycosylation of the M-protein variable region: Glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma.

P. Langerhorst, M. Baerenfaenger, P. Kulkarni, S. Nadal, C. Wijnands, M. A. Post, S. Noori, M. M. vanDuijn, I. Joosten, T. Dejoie, A. J. van Gool, J. Gloerich, D. J. Lefeber, H. J. Wessels, J. F. M. Jacobs

This study introduces a glycoproteogenomics method to analyze N-glycosylation of M-protein variable regions in multiple myeloma, revealing increased glycan complexity in patient samples compared to healthy controls.

bioRxiv · Apr 5, 2023Cancer Biology