Author

J. J. Knapp

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· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

D.-K. Kim· 3 shared F. P. Roth· 3 shared A. G. Cote· 2 shared M. Vidal· 2 shared R. Li· 2 shared A. Astori· 1 shared A. Desbuleux· 1 shared A. K. Overton· 1 shared

Activity by Year

2020-2024 · 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 →

4 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

A Novel Tiled-Amplicon Sequencing Assay Targeting the Tomato Brown Rugose Fruit Virus (ToBRFV) Genome Reveals Widespread Distribution in Municipal Wastewater Treatment Systems in the Province of Ontario, Canada

D. Nash, I. Ellmen, J. J. Knapp, R. Menon, A. K. Overton, M. D. J. Lynch, J. Cheng, J. I. Nissimov, T. C. Charles

The paper develops a tiled-amplicon sequencing assay to detect and track ToBRFV in municipal wastewater, revealing its widespread distribution in Ontario, Canada.

bioRxiv · Nov 2, 2023 · PreprintMicrobiology

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