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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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintDec 21, 2023

Maximizing glycoproteomics results through an integrated PASEF workflow

M. Baerenfaenger, M. A. Post, F. S. M. Zijlstra…·H. J. Wessels

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

DOI 10.1101/2023.12.21.570555

humanproteomics

Cancer BiologybioRxivApr 5, 2023

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…·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.

DOI 10.1515/cclm-2023-1189

humanproteomics