Author

Jesse D. Canterbury

Thermo Fisher Scientific (United States)ORCID 0009-0000-5533-1710Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Assay:proteomics· 4 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Michael J. MacCossiD· 3 shared Brendan MacLeaniD· 2 shared Christine C. WuiD· 2 shared Deanna L. PlubelliD· 2 shared Philip M. RemesiD· 2 shared Alexander MakaroviD· 1 shared Andrew N. HoofnagleiD· 1 shared Anna Pashkova· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBiochemistry

Michael J. MacCossORCID

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Author profile →

4 papers

Recent·Most cited

BiochemistryJournal of Proteome ResearchPeer-reviewedOct 22, 2025

Evaluation of a prototype Orbitrap Astral Zoom mass spectrometer for quantitative proteomics - Beyond identification lists

Chris Hsu, Nicholas Shulman, Hamish I. Stewart…·Michael J. MacCoss

This paper evaluates a prototype Orbitrap Astral Zoom mass spectrometer for quantitative proteomics, showing improved performance in ion detection and quantitative precision compared to the standard Orbitrap Astral MS.

21 citationstop 3%

proteomicsexperimental assay

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BiochemistrybioRxivPreprintSep 10, 2025

Next-Generation Multiplexed Targeted Proteomics Quantifies Post-Translational Modifications, Compound-Protein Interactions, and Disease Biomarkers with High Throughput

Steven R. Shuken, Geordon A. Frere, Charlotte R. Beard…·Qing Yu

GoDig 2.0 improves targeted proteomics by increasing multiplexing, efficiency, and target coverage, enabling analysis of post-translational modifications and compound-protein interactions.

1 citation

humanproteomics

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BiochemistryJournal of Proteome ResearchPeer-reviewedSep 9, 2024

A framework for quality control in quantitative proteomics

Kristine A. Tsantilas, Gennifer E. Merrihew, Julia E. Robbins…·Michael J. MacCoss

The paper introduces a framework for quality control in quantitative proteomics, combining internal and external QC measures with tools for data analysis and deposition.

48 citationstop 2%

proteomicsexperimental assay

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BioinformaticsAnalytical ChemistryPeer-reviewedAug 1, 2023

Dynamic Data Independent Acquisition Mass Spectrometry with Real-Time Retrospective Alignment

Lilian R. Heil, Philip M. Remes, Jesse D. Canterbury…·Michael J. MacCoss

This paper introduces a dynamic DIA mass spectrometry method that improves quantitative sensitivity by adjusting MS/MS windows during chromatographic separation.

13 citations

proteomicsexperimental assay

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