Author

M. Velickovic

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

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Research Focus:spatial domain detection· 2 Research Focus:differential expression· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

S. M. Williams· 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.-C. Hsu· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBiochemistry

S. M. Williams

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3 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