Author

P. Kapahi

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 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

M. Stoller· 2 shared N. Bose· 2 shared A. C. Foulger· 1 shared A. Kahn· 1 shared A. L. Coleman-Hulbert· 1 shared A. Sharma· 1 shared B. Onken· 1 shared B. Schilling· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersCell Biology

M. Stoller

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comprehensive Proteomic Quantification of Bladder Stone Progression in a Cystinuric Mouse Model Using Data-Independent Acquisitions

J. Rose, N. Basisty, T. Zee, C. Wehrfritz, N. Bose, P.-Y. Desprez, P. Kapahi, M. Stoller, B. Schilling

This study uses proteomic analysis in a cystinuria mouse model to identify proteomic changes during bladder stone progression, highlighting key pathways involved in stone growth and recurrence.

bioRxiv · Apr 6, 2021 · PreprintCell Biology

Automated Lifespan Determination Across Caenorhabditis Strains and Species Reveals Assay-Specific Effects of Chemical Interventions

S. A. Banse, M. Lucanic, C. A. Sedore, A. L. Coleman-Hulbert, W. T. Plummer, E. Chen, J. L. Kish, D. Hall, B. Onken, M. P. Presley, E. G. Jones, B. W. Blue, T. Garrett, M. Abbott, J. Xue, , P. C. Phillips

The paper compares manual and automated lifespan assays in Caenorhabditis strains, finding that automated methods reproduce results but show assay-specific effects of chemical interventions.

bioRxiv · Sep 14, 2019Physiology

A conserved role of the insulin-like signaling pathway in uric acid pathologies revealed in Drosophila melanogaster

S. Lang, N. Bose, K. Wilson, D. Brackman, T. Hilsabeck, M. Watson, J. Beck, A. Sharma, L. Chen, D. Killilea, S. Ho, A. Kahn, K. Giacomini, M. Stoller, T. Chi, P. Kapahi

This study shows that the insulin-like signaling pathway influences uric acid metabolism in Drosophila, with conserved effects in humans, and identifies potential therapeutic targets for gout and kidney stones.

PLOS Genetics · Aug 15, 2019Peer-reviewedPathology