Author

J. Beasley

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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Ecology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

A. Keuroghlian· 1 shared A. Mackinnon· 1 shared A. Rodgers· 1 shared B. Gooptu· 1 shared B. Parker· 1 shared B. Strickland· 1 shared C. Harris· 1 shared C. J. Hitchman· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperEcology

A. Keuroghlian

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Torque Teno Sus Virus 1: A Potential Surrogate Pathogen to Study Pig-Transmitted Transboundary Animal Diseases

X. Li, B. Parker, R. Boughton, J. Beasley, T. J. Smyser, J. Austin, K. Pepin, R. S. Miller, K. C. VerCauteren, S. M. Wisely

The paper assesses Torque teno sus virus 1 as a surrogate pathogen for studying transmission dynamics in wild pigs, finding high prevalence, genetic variability, and patterns of direct transmission.

bioRxiv · Jul 3, 2024Ecology

CD98 is critical for a conserved inflammatory response to diverse injury stimuli relevant to IPF exacerbations and COVID pneumonitis

P. Stylianou, S. Rushwan, W. Wang, M. A. Miah, O. Darweesh, A. Mackinnon, K. M. Roach, C. J. Hitchman, O. Gonchar, S. Thorpe, C. Harris, R. Haigh, D. F. Richards, V. Snetkov, J. Beasley, , B. Gooptu

This study identifies CD98 as critical for inflammatory responses to injury stimuli in IPF exacerbations and COVID pneumonitis, showing its role in IL-6 and IL-8 responses and fibrosis progression.

bioRxiv · Aug 12, 2022 · PreprintCell Biology

Solving the Sample Size Problem for Resource Selection Analysis

G. M. Street, J. R. Potts, L. Borger, J. Beasley, S. Demarais, J. M. Fryxell, P. McLoughlin, K. Monteith, C. Prokopenko, M. Ribeiro, A. Rodgers, B. Strickland, F. Van Beest, D. Bernasconi, L. Beumer, , E. Vander Wal

This paper provides mathematical expressions to determine optimal sample sizes for resource selection analyses, showing that fewer data may be sufficient for strong selection effects.

bioRxiv · Feb 22, 2021 · PreprintEcology