Author

S. M. Williams

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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Biochemistry· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 3 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Research Focus:spatial domain detection· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

M. Velickovic· 3 shared Y. Zhu· 3 shared D. Velickovic· 2 shared R. J. Moore· 2 shared R. Zhao· 2 shared C. H. Wasserfall· 1 shared C. Posso· 1 shared C. Stein· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBiochemistry

M. Velickovic

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Author profile →

4 papers

Recent·Most cited

Spatial top-down proteomics for the functional characterization of human kidney

K. J. Zemaitis, J. M. Fulcher, R. Kumar, D. J. Degnan, L. A. Lewis, Y.-C. Liao, M. Velickovic, S. M. Williams, R. J. Moore, L. M. Bramer, D. Velickovic, Y. Zhu, M. Zhou, L. Pasa-Tolic

This paper develops a spatial proteomics workflow to identify and map proteoforms in human kidney tissue, revealing spatially distinct proteomic profiles between glomeruli and tubules.

bioRxiv · Feb 13, 2024Biochemistry

Coupling microdroplet-based sample preparation, multiplexed isobaric labeling, and nanoflow peptide fractionation for deep proteome profiling of tissue microenvironment

M. Velickovic, T. L. Fillmore, K. Attah, C. Posso, J. C. Pino, R. Zhao, S. M. Williams, D. Velickovic, J. M. Jacobs, K. E. Burnum-Johnson, Y. Zhu, P. D. Piehowski

This paper develops a combined proteomic workflow to enable deep spatial proteome profiling of small tissue samples, achieving over 5,000 protein quantifications from a human pancreatic tissue pixel.

bioRxiv · Mar 13, 2023 · PreprintBiochemistry

A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics

C.-F. Tsai, Y.-T. Wang, C.-C. Hsu, R. B. Kitata, R. K. Chu, M. Velickovic, R. Zhao, S. M. Williams, W. B. Chrisler, M. L. Jorgensen, R. J. Moore, Y. Zhu, K. D. Rodland, R. D. Smith, C. H. Wasserfall, , T. Liu

This paper introduces a streamlined phosphoproteomics workflow that reduces sample loss and processing time, enabling sensitive detection of phosphopeptides from nanoscale samples.

bioRxiv · Apr 12, 2022Biochemistry

Interaction between host genes and M. tuberculosis lineage can affect tuberculosis severity: evidence for co-evolution

M. L. McHenry, J. Bartlett, R. P. Igo, E. Wampande, P. Bencheck, H. Mayanja-Kizza, K. Fluegge, N. B. Hall, S. Gagneux, S. Tishkoff, C. Wejse, G. Sirugo, W. H. Boom, M. Joloba, S. M. Williams, C. Stein

The paper investigates the interaction between host genetic variants and Mycobacterium tuberculosis lineage to determine their combined effect on TB severity, finding significant interactions that support host-pathogen co-evolution.

bioRxiv · Sep 14, 2019Evolutionary Biology