Author

Eric L. Huang

University of WashingtonORCID 0000-0002-6444-1708Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Deanna L. PlubelliD· 2 shared Michael J. MacCossiD· 2 shared Sandra E. Spencer MikoiD· 2 shared Andrew N. HoofnagleiD· 1 shared Brendan MacLeaniD· 1 shared Christine C. WuiD· 1 shared Gennifer E. MerrihewiD· 1 shared Jea ParkiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Deanna L. PlubellORCID

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2 papers

Recent·Most cited

Data Independent Acquisition to Inform the Development of Targeted Proteomics Assays Using a Triple Quadrupole Mass Spectrometer

Deanna L. Plubell, Eric L. Huang, Sandra E. Spencer Miko, Kathleen L. Poston, Thomas Jude Montine, Michael J. MacCoss

The paper demonstrates using data-independent acquisition (DIA) to select peptides for targeted proteomics assays, achieving comparable quantitative precision to existing methods.

Journal of Proteome Research · May 6, 2025Peer-reviewedBiochemistry

A framework for quality control in quantitative proteomics

Kristine A. Tsantilas, Gennifer E. Merrihew, Julia E. Robbins, Richard S. Johnson, Jea Park, Deanna L. Plubell, Jesse D. Canterbury, Eric L. Huang, Michael E. Riffle, Vagisha Sharma, Brendan MacLean, Josh Eckels, Christine C. Wu, Michael S. Bereman, Sandra E. Spencer Miko, , 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.

Journal of Proteome Research · Sep 9, 2024Peer-reviewedBiochemistry