Author

E. W. Howerth

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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Microbiology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

S. M. Tompkins· 3 shared C. S. Kyriakis· 2 shared E. F. Griffin· 2 shared I. Padykula· 2 shared J. B. Stanton· 2 shared K. T. Young· 2 shared C. L. Siepker· 1 shared C. Siepker· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersMicrobiology

S. M. Tompkins

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Author profile →

3 papers

Recent·Most cited

Pandemic Risk Assessment for a Swine Influenza A Virus in Comparative Human Substrates

I. Padykula, L. Damodaran, K. T. Young, M. Krunkosky, E. F. Griffin, J. F. North, P. J. Neasham, V. C. Pleiasis, C. L. Siepker, J. B. Stanton, E. W. Howerth, J. Bahl, C. S. Kyriakis, S. M. Tompkins

The paper assesses a swine influenza A virus in animal and human cell models to evaluate pandemic risk, finding varied replication potential across models.

bioRxiv · Feb 24, 2024 · PreprintMicrobiology

Swine influenza A virus isolates containing the pandemic H1N1 origin matrix gene elicit greater disease in the murine model

S. J. Curran, E. F. Griffin, L. Ferreri, C. S. Kyriakis, E. W. Howerth, D. R. Perez, S. M. Tompkins

This study shows that swine influenza A viruses with the pandemic H1N1 origin matrix gene cause more severe disease in mice compared to those with the classical swine matrix gene.

bioRxiv · Sep 25, 2023Microbiology

Randomly primed, strand-switching MinION-based sequencing for the detection and characterization of cultured RNA viruses

K. T. Young, K. K. Lahmers, H. S. Sellers, D. E. Stallknecht, R. L. Poulson, J. T. Saliki, S. M. Tompkins, I. Padykula, C. Siepker, E. W. Howerth, M. Todd, J. B. Stanton

This study evaluates a MinION-based sequencing method for detecting and characterizing RNA viruses using random priming and strand-switching, showing its effectiveness for known and unknown viruses.

bioRxiv · Dec 16, 2019Pathology