Author

D. B. Bekker-Jensen

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· 4

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Approach:experimental assay· 3 Research Focus:drug response / drug discovery· 2 Research Focus:protein folding & dynamics· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

J. V. Olsen· 4 shared N. Bache· 2 shared A. d. V. Martinez· 1 shared A. Eguchi· 1 shared A. Harder· 1 shared A. Hogrebe· 1 shared A. Makarov· 1 shared A. Martinez del Val· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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4 shared papersBiochemistry

J. V. Olsen

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4 papers

Recent·Most cited

One-Tip enables comprehensive proteome coverage in minimal cells and single zygotes

Z. Ye, P. Sabatier, J. Martin-Gonzalez, A. Eguchi, D. B. Bekker-Jensen, N. Bache, J. V. Olsen

One-Tip provides a proteomics method for high-depth protein identification from minimal cell samples and single zygotes with high throughput.

bioRxiv · Aug 10, 2023Biochemistry

A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients

D. B. Bekker-Jensen, A. d. V. Martinez, S. Steigerwald, P. Ruether, K. Fort, T. N. Arrey, A. Harder, A. Makarov, J. V. Olsen

bioRxiv · Nov 30, 2019Biochemistry

Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition (DIA) without the need for spectral libraries

D. B. Bekker-Jensen, O. Bernhardt, A. Hogrebe, A. Martinez del Val, L. Verbeke, T. Gandhi, C. D. Kelstrup, L. Reiter, J. V. Olsen

This paper introduces a DIA-based phosphoproteomics method that achieves high sensitivity and reproducibility without spectral libraries, demonstrating its scalability in analyzing kinase inhibitor effects on EGF signaling.

bioRxiv · Jun 3, 2019Biochemistry

A novel LC system embeds analytes in pre-formed gradients for rapid, ultra-robust proteomics

N. Bache, P. E. Geyer, D. B. Bekker-Jensen, O. Hoerning, L. Falkenby, P. V. Treit, S. Doll, I. Paron, F. Meier, J. V. Olsen, O. Vorm, M. Mann

The paper introduces a novel LC system for proteomics that enables rapid, high-throughput, and robust analysis with deep proteome coverage.

bioRxiv · May 15, 2018Biochemistry