Author

E. W. Deutsch

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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Plant Biology· 4 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 5 Organism:Arabidopsis· 3 Research Focus:database / resource· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Z. Sun· 5 shared K. J. van Wijk· 4 shared L. Mendoza· 4 shared Q. Sun· 4 shared T. Leppert· 4 shared E. Debley· 2 shared G. Sauermann· 2 shared I. Guzchenko· 2 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersPlant Biology

Z. Sun

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Author profile →

5 papers

Recent·Most cited

The Zea mays PeptideAtlas; a new maize community resource

K. J. van Wijk, T. Leppert, Z. Sun, I. Guzchenko, E. Debley, G. Sauermann, P. Routray, L. Mendoza, Q. Sun, E. W. Deutsch

The paper develops the Maize PeptideAtlas resource to analyze maize proteomes using MS/MS data, identifying peptides and proteins across diverse genetic backgrounds and conditions.

bioRxiv · Dec 21, 2023 · PreprintPlant Biology

Detection and editing of the updated plastid- and mitochondrial-encoded proteomes for Arabidopsis with PeptideAtlas

K. J. van Wijk, S. Bentolila, T. Leppert, Q. Sun, Z. Sun, L. Mendoza, M. Li, E. W. Deutsch

This study identifies and analyzes RNA editing sites in plastid and mitochondrial proteomes of Arabidopsis using mass spectrometry data from PeptideAtlas.

bioRxiv · Jul 10, 2023 · PreprintPlant Biology

Mapping the Arabidopsis thaliana proteome in PeptideAtlas and the nature of the unobserved (dark) proteome; strategies towards a complete proteome

K. J. van Wijk, T. Leppert, Z. Sun, A. Kearly, M. Li, L. Mendoza, I. Guzchenko, E. debley, G. Sauermann, P. Routray, S. Malhotra, A. D. L. Nelson, Q. Sun, E. W. Deutsch

This paper updates the Arabidopsis thaliana PeptideAtlas proteomics resource, identifies 78.6% of the predicted proteome, and uses a machine learning model to predict the dark proteome.

bioRxiv · Jun 1, 2023 · PreprintPlant Biology

The Arabidopsis thaliana PeptideAtlas; harnessing world-wide proteomics data for a comprehensive community proteomics resource

K. J. van Wijk, E. W. Deutsch, Q. Sun, Z. Sun, T. Leppert, A. S. Boguraev, L. Mendoza

The paper develops the Arabidopsis PeptideAtlas, a proteomics resource integrating mass spectrometry data with metadata and community tools to enhance understanding of the Arabidopsis proteome.

bioRxiv · May 3, 2021Plant Biology

A wide-ranging Pseudomonas aeruginosa PeptideAtlas build: a useful proteomic resource for a versatile pathogen.

J. A. Reales-Calderon, Z. Sun, V. Mascaraque, E. Perez-Navarro, V. Vialas, E. W. Deutsch, R. L. Moritz, C. Gil, J. L. Martinez, G. Molero

The paper builds a comprehensive Pseudomonas aeruginosa PeptideAtlas with high proteome coverage, providing a valuable resource for proteomic studies of this pathogen.

bioRxiv · Nov 18, 2020Microbiology