Author

Amelia C. Peterson

Thermo Fisher Scientific (Germany)

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· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alexander MakaroviD· 3 shared Christian Hock· 3 shared Eduard V. Denisov· 3 shared Eugen DamociD· 3 shared Tabiwang N. ArreyiD· 3 shared Vlad ZabrouskoviD· 3 shared Benjamin FurtwängleriD· 2 shared Bo Torben PorseiD· 2 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersSystems Biology

Alexander MakarovORCID

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3 papers

Recent·Most cited

Quantitative Label-Free Single-Cell Proteomics on the Orbitrap Astral MS

Valdemaras Petrosius, Pedro Aragon-Fernandez, Tabiwang N. Arrey, Jakob Woessmann, Nil Üresin, Bauke de Boer, Jinyu Su, Benjamin Furtwängler, Hamish I. Stewart, Eduard V. Denisov, Johannes Petzoldt, Amelia C. Peterson, Christian Hock, Eugen Damoc, Alexander Makarov, , Erwin M. Schoof

This study evaluates the Orbitrap Astral MS's sensitivity for single-cell proteomics, showing improved proteome coverage and quantitative accuracy in low-input samples.

Molecular & Cellular Proteomics · May 5, 2025Peer-reviewedBiochemistry

Evaluating the capabilities of the Astral mass analyzer for single-cell proteomics

Valdemaras Petrosius, Pedro Aragon-Fernandez, Tabiwang N. Arrey, Nil Üresin, Benjamin Furtwängler, Hamish Stewart, Eduard V. Denisov, J. Petzoldt, Amelia C. Peterson, Christian Hock, Eugen Damoc, Alexander Makarov, Vlad Zabrouskov, Bo Torben Porse, Erwin M. Schoof

This study evaluates the Astral mass analyzer's performance in single-cell proteomics using DIA, showing improved proteome depth and quantitative precision for ultra-low input samples.

bioRxiv · Jun 6, 2023 · PreprintSystems Biology

Narrow-window DIA: Ultra-fast quantitative analysis of comprehensive proteomes with high sequencing depth

Ulises H. Guzmán, Ana Martínez‐Val, Zilu Ye, Eugen Damoc, Tabiwang N. Arrey, Anna Pashkova, Eduard V. Denisov, J. Petzoldt, Amelia C. Peterson, Florian Harking, Ole Østergaard, Hamish I. Stewart, Yue Xuan, Daniel J. Hermanson, Christian Hock, , Jesper Velgaard Olsen

The paper introduces Narrow-window DIA, a fast proteomics method enabling high-throughput and comprehensive proteome analysis with high precision and accuracy.

bioRxiv · Jun 2, 2023 · PreprintSystems Biology