Author

Edwin H. Rodriguez

Max Planck Institute of Biochemistry

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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Systems Biology· 3 Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 5 Approach:experimental assay· 4 Organism:mouse· 3 Research Focus:spatial domain detection· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Matthias ManniD· 5 shared Florian A. RosenbergeriD· 4 shared Marvin ThielertiD· 3 shared Maximilian T. StraussiD· 3 shared Anastasiya Bardziukova· 2 shared Andreas MetousisiD· 2 shared Constantin AmmariD· 2 shared Denys OliinykiD· 2 shared

Activity by Year

2023-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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5 shared papersSystems Biology

Matthias MannORCID

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Author profile →

5 papers

Recent·Most cited

FastaLake selects compact metaproteomic databases from large sequence reservoirs by de novo peptide lookup

Peter V. Treit, Florian A. Rosenberger, Philip Hartout, Mikhail Lebedev, Jinqiu Xiao, Maximilian Zwiebel, Philipp Emanuel Geyer, Ankit Sinha, Georg Wallmann, Vincenth Brennsteiner, Kathrin Korff, Edwin H. Rodriguez, Wen‐Feng Zeng, Maximilian T. Strauss, Marisa Isabell Keller, , Matthias Mann

FastaLake constructs compact metaproteomic databases from sequence resources to improve peptide identification without requiring matched metagenomic sequencing.

bioRxiv · Oct 11, 2026 · PreprintBioinformatics

Solid-Phase Extraction Capture (SPEC) in nanoliter volumes for fast, robust and ultra-sensitive proteomics

Tim Heymann, Denys Oliinyk, Lukas T. Henneberg, Edwin H. Rodriguez, Anastasiya Bardziukova, Marc Oeller, Marta Murgia, Jesper Velgaard Olsen, Stoyan Stoychev, Nicolai Bache, Matthias Mann

The paper introduces SPEC, a proteomics sample preparation method that improves proteome depth and reproducibility from limited samples.

bioRxiv · May 31, 2025 · PreprintSystems Biology

nanoPhos enables ultra-sensitive and cell-type resolved spatial phosphoproteomics

Denys Oliinyk, Tim Heymann, Lukas T. Henneberg, Anastasiya Bardziukova, Marvin Thielert, Jeppe Kjærgaard, Maximilian Zwiebel, Sabine Vasconez, Marc Oeller, Andreas Metousis, Enes Ugur, Edwin H. Rodriguez, Florian A. Rosenberger, Simon Schallenberg, Frederick Klauschen, Matthias Mann

nanoPhos improves phosphoproteomics sensitivity and enables cell-type resolved spatial analysis of mouse brain tissue.

bioRxiv · May 29, 2025 · PreprintSystems Biology

Tree-based quantification infers proteoform regulation in bottom-up proteomics data

Constantin Ammar, Marvin Thielert, Caroline A M Weiss, Edwin H. Rodriguez, Maximilian T. Strauss, Florian A. Rosenberger, Wen‐Feng Zeng, Matthias Mann

AlphaQuant improves proteoform regulation detection in bottom-up proteomics by using tree-based quantification and deep learning, revealing new patterns in mouse tissues.

bioRxiv · Mar 6, 2025 · PreprintBioinformatics

Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome

Florian A. Rosenberger, Marvin Thielert, Maximilian T. Strauss, Lisa Schweizer, Constantin Ammar, Sophia Clara Mädler, Andreas Metousis, Patricia Skowronek, Maria Wahle, Katherine Madden, Janine Gote-Schniering, Anna Semenova, Herbert B. Schiller, Edwin H. Rodriguez, Thierry M. Nordmann, , Matthias Mann

The paper introduces scDVP, a spatial single-cell proteomics method, and finds that half of the murine hepatocyte proteome varies spatially within liver tissue.

Nature Methods · Oct 1, 2023Peer-reviewedSystems Biology