Author

F. P. Roth

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· 3 Biochemistry· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Assay:proteomics· 4 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

D.-K. Kim· 3 shared J. J. Knapp· 3 shared A. G. Cote· 2 shared A.-C. Gingras· 2 shared M. Vidal· 2 shared R. Li· 2 shared A. Astori· 1 shared A. Desbuleux· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersCell Biology

D.-K. Kim

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

A comprehensive two-hybrid analysis to explore the L. pneumophila effector-effector interactome

H. O'Connor Mount, M. L. Urbanus, D. Sheykhkarimli, A. G. Cote, F. Laval, G. Coppin, N. Kishore, R. Li, K. Spirohn-Fitzgerald, M. O. Petersen, J. J. Knapp, D.-K. Kim, J.-C. Twizere, M. A. Calderwood, M. Vidal, , A. W. Ensminger

The paper uses a yeast two-hybrid screen to identify novel effector-effector interactions in L. pneumophila, doubling the known number of such interactions.

bioRxiv · Mar 29, 2024 · PreprintMicrobiology

Characterizing glucokinase variant mechanisms using a multiplexed abundance assay

S. Gersing, T. K. Schulze, M. Cagiada, A. Stein, F. P. Roth, K. Lindorff-Larsen, R. Hartmann-Petersen

The paper characterizes mechanisms of human glucokinase variants by analyzing their abundance and stability, identifying residues that affect metabolic stability and conformational dynamics.

bioRxiv · May 24, 2023Biochemistry

Next-generation large-scale binary protein interaction network for Drosophila

H.-W. Tang, K. Spirohn, Y. Hu, T. Hao, I. A. Kovacs, Y. Gao, R. Binari, D. Yang-Zhou, K. H. Wan, J. S. Bader, D. Balcha, W. Bian, B. W. Booth, A. G. Cote, S. De Rouck, , S. Mohr

The paper generates a high-confidence binary protein interaction network for Drosophila using yeast two-hybrid screens and integrates it with existing data to create a comprehensive reference network.

Nature Communications · Apr 15, 2023Peer-reviewedCell Biology

A SARS-CoV-2 BioID-based virus-host membrane protein interactome and virus peptide compendium: new proteomics resources for COVID-19 research

J. R. St-Germain, A. Astori, P. Samavarchi-Tehrani, H. Abdouni, V. Macwan, D.-K. Kim, J. J. Knapp, F. P. Roth, A.-C. Gingras, B. Raught

The paper uses BioID and mass spectrometry to identify SARS-CoV-2-host membrane protein interactions and virus peptides, providing new proteomics resources for COVID-19 research.

bioRxiv · Aug 28, 2020 · PreprintCell Biology

Spatial Organization of Rho GTPase signaling by RhoGEF/RhoGAP proteins

P. M. Mueller, J. Rademacher, R. D. Bagshaw, K. M. Alp, G. Giudice, L. E. Heinrich, C. Barth, R. L. Eccles, M. Sanchez-Castro, L. Brandenburg, G. Mbamalu, M. Tucholska, L. Spatt, C. Wortmann, M. T. Czajkowski, , O. Rocks

The paper characterizes RhoGEF/RhoGAP substrate specificities, localization, and interactomes to reveal their role in spatially organizing Rho signaling.

bioRxiv · Aug 29, 2018Cell Biology