Author

K. C. Prager

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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Ecology· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 4 Assay:proteomics· 4 Approach:experimental assay· 2 Organism:mouse· 2 Organism:zebrafish· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

J. O. Lloyd-Smith· 3 shared R. L. Galloway· 3 shared A. H. Guglielmino· 2 shared B. Borremans· 2 shared F. M. Gulland· 2 shared R. O. Mummah· 2 shared A. C. R. Gomez· 1 shared A. J. Orr· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersEcology

J. O. Lloyd-Smith

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Author profile →

4 papers

Recent·Most cited

Navigating cross-reactivity and host species effects in a serological assay: A case study of the microscopic agglutination test for Leptospira serology

R. O. Mummah, A. C. R. Gomez, A. H. Guglielmino, B. Borremans, R. L. Galloway, K. C. Prager, J. O. Lloyd-Smith

This paper examines cross-reactivity and host species effects in serological data using MAT for Leptospira, showing that antibody titers vary by host and lab, and that high titers do not reliably indicate the infecting serovar.

bioRxiv · Mar 5, 2024 · PreprintEcology

Inferring time of infection from field data using dynamic models of antibody decay

B. Borremans, R. O. Mummah, A. H. Guglielmino, R. L. Galloway, N. Hens, K. C. Prager, J. O. Lloyd-Smith

The paper develops a Bayesian dynamic model to estimate infection times from antibody decay data, improving accuracy in wildlife disease ecology.

bioRxiv · Oct 3, 2022Ecology

Mapping the Host-Pathogen Space to Link Longitudinal and Cross-sectional Biomarker Data: Leptospira Infection in California Sea Lions (Zalophus californianus) as a Case Study

K. C. Prager, M. G. Buhnerkempe, D. J. Greig, A. J. Orr, E. D. Jensen, F. Gomez, R. L. Galloway, Q. Wu, F. M. Gulland, J. O. Lloyd-Smith

The paper maps host-pathogen interactions using quantitative biomarker data to understand disease dynamics in California sea lions, revealing a unidirectional disease trajectory that applies to both longitudinal and cross-sectional datasets.

bioRxiv · Oct 25, 2019 · PreprintEcology

Proteomic Analysis of Urine from California Sea Lions (Zalophus californianus): a Resource for Urinary Biomarker Discovery

B. A. Neely, K. C. Prager, A. M. Bland, C. Fontaine, F. M. Gulland, M. G. Janech

This study identifies urinary protein markers in California sea lions with leptospirosis kidney disease using shotgun proteomics, revealing differentially abundant proteins and potential biomarkers for kidney injury.

bioRxiv · Jun 2, 2018Biochemistry