Author

R. J. Moore

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· 4 Microbiology· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 7 Research Focus:cell type annotation· 5 Assay:proteomics· 5 Organism:human· 4 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:protein folding & dynamics· 2 Organism:bacteria (other)· 1

Frequent Co-Authors

R. Zhao· 3 shared C.-F. Tsai· 2 shared J. M. Fulcher· 2 shared L. Pasa-Tolic· 2 shared M. Velickovic· 2 shared M. Zhou· 2 shared S. M. Williams· 2 shared T. Liu· 2 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBiochemistry

R. Zhao

Mutual co-authors in cluster

Author profile →

8 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

A Deep Redox Proteome Profiling Workflow and Its Application to Skeletal Muscle of a Duchene Muscular Dystrophy Model

N. J. Day, T. Zhang, M. Gaffrey, R. Zhao, T. Fillmore, R. J. Moore, G. G. Rodney, W. Qian

The paper introduces a deep redox proteome profiling workflow and applies it to skeletal muscle from mdx mice, revealing increased thiol oxidation and pathway-specific effects.

bioRxiv · Aug 15, 2022 · 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

CD81 partners with CD44 in promoting exosome biogenesis, tumor cluster formation, and lung metastasis in triple negative breast cancer

E. K. Ramos, C.-F. Tsai, N. K. Dashzeveg, Y. Jia, Y. Cao, M. Manu, R. Taftaf, A. D. Hoffmann, L. El-Shennawy, M. A. Gritsenko, V. Adorno-Cruz, E. J. Schuster, D. Scholten, D. Patel, X. Liu, , H. Liu

bioRxiv · Feb 23, 2022Cancer Biology

Enhancing top-down proteomics of brain tissue with FAIMS

J. M. Fulcher, A. Makaju, R. J. Moore, M. Zhou, D. C. Bennett, P. L. De Jager, W.-J. Qian, L. Pasa-Tolic, V. A. Petyuk

This study shows that adding FAIMS to top-down proteomics improves proteome coverage in Alzheimer's brain tissue by doubling the number of non-redundant proteoforms identified.

bioRxiv · Jan 18, 2021Biochemistry

Cloning and functional expression of a food-grade circular bacteriocin, plantacyclin B21AG, in probiotic Lactobacillus plantarum WCFS1

M.-C. Gor, A. Golneshin, T. T. H. Van, R. J. Moore, A. T. Smith

The paper clones and functionally expresses a circular bacteriocin, plantacyclin B21AG, in the probiotic Lactobacillus plantarum WCFS1, demonstrating antimicrobial activity.

bioRxiv · Apr 23, 2020Microbiology

Oregano powder reduces Streptococcus and increases SCFA concentration in a mixed bacterial culture assay of chicken.

B. W. Bauer, S. Gangadoo, Y. S. Bajagai, T. T. H. Van, R. J. Moore, D. Stanley

bioRxiv · May 1, 2019Microbiology

MetFish: A Metabolomics Platform for Studying Microbial Communities in Chemically Extreme Environments

C. Xu, S. P. Couvillion, R. L. Sontag, N. G. Isern, Y. Maezato, S. R. Lindemann, T. Roy Chowdhury, R. Zhao, B. R. Morton, R. J. Moore, J. K. Jansson, V. L. Bailey, P. J. Mouser, M. F. Romine, J. F. Fredrickson, T. O. Metz

MetFish enables LC-MS-based exo-metabolomics analysis in hypersaline samples, quantifying metabolites with high sensitivity and reproducibility in various environments.

bioRxiv · Jan 11, 2019 · PreprintMicrobiology