Author

C. M. Scoglio

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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Immunology· 1 Pathology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Morejon· 1 shared C. An· 1 shared C. T. Culbertson· 1 shared D. E. Amrine· 1 shared D. M. Gruenbacher· 1 shared E. M. Metto· 1 shared F. Ocom· 1 shared G. L. Brase· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperImmunology

B. Morejon

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CLIPB4 is a central node in the protease network that regulates humoral immunity in Anopheles gambiae mosquitoes

X. Zhang, S. Zhang, J. Kuang, K. A. Sellens, B. Morejon, S. A. Saab, E. M. Metto, M. Li, M. Osta, C. An, C. T. Culbertson, C. M. Scoglio, K. Michel

The paper identifies CLIPB4 as a central protease in the immune network of Anopheles gambiae, showing its role in melanization and antibacterial immunity through interactions with SRPN2.

bioRxiv · Jul 7, 2023 · PreprintImmunology

Towards resilient beef cattle production systems: Impact of truck contamination and information sharing on foot-and-mouth disease spreading

Q. Yang, D. M. Gruenbacher, J. L. Heier Stamm, D. E. Amrine, G. L. Brase, S. A. DeLoach, C. M. Scoglio

This study uses an agent-based model to analyze how truck contamination and information sharing affect foot-and-mouth disease spread in U.S. cattle production systems, showing increased disease spread with indirect contact and improved resilience with information sharing.

bioRxiv · Apr 17, 2020Pathology

Risk assessment of Ebola virus disease spreading in Uganda using a multilayer temporal network

M. M. H. Riad, M. Sekamatte, F. Ocom, I. Makumbi, C. M. Scoglio

This paper assesses Ebola virus disease risk in Uganda using a multilayer temporal network that combines permanent and temporal contacts to simulate disease spread and evaluate intervention effectiveness.

bioRxiv · May 23, 2019 · PreprintSystems Biology