Author

H. Boekweg

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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Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

R. T. Kelly· 2 shared S. H. Payne· 2 shared T. Truong· 2 shared Y. Liang· 2 shared A. J. Guise· 1 shared A. Nydegger· 1 shared C. Lundgren· 1 shared D. Van Der Watt· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersPathology

R. T. Kelly

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2 papers

Recent·Most cited

TDP-43-stratified single-cell proteomic profiling of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis

A. J. Guise, S. A. Misal, R. Carson, H. Boekweg, D. Van Der Watt, T. Truong, Y. Liang, J.-H. Chu, N. Welsh, J. Gagnon, S. H. Payne, E. D. Plowey, R. T. Kelly

This study uses single-cell proteomics to analyze motor neurons from ALS patients, identifying protein changes linked to TDP-43 pathology.

bioRxiv · Jun 8, 2023Pathology

Data-Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label-Free Single-Cell Proteomics

T. Truong, S. M. Johnston, K. Webber, H. Boekweg, C. Lundgren, Y. Liang, A. Nydegger, X. Xie, S. H. Payne, R. T. Kelly

This paper introduces WWA, a data acquisition method that improves proteome coverage and throughput in single-cell proteomics by co-isolating and fragmenting additional precursors.

bioRxiv · Oct 18, 2022Cell Biology