Author

A. Buxton

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· 1 Ecology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Cleuren· 1 shared A. Diana· 1 shared A. M. Randi· 1 shared A. M. Soltisz· 1 shared A. Shah· 1 shared C. Johnson· 1 shared C. Schafer· 1 shared C. T. Griffin· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperCell Biology

A. Cleuren

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Unraveling Chamber-specific Differences in Intercalated Disc Ultrastructure and Molecular Organization and Their Impact on Cardiac Conduction

H. L. Struckman, N. Moise, D. R. King, A. M. Soltisz, A. Buxton, I. Dunlap, Z. Chen, P. B. Radwanski, S. H. Weinberg, R. Veeraraghavan

This study quantifies intercalated disc structure in mouse heart chambers using advanced imaging and modeling to reveal chamber-specific differences in conduction speed.

JACC: Clinical Electrophysiology · Dec 1, 2023Peer-reviewedPhysiology

Cytokine-Mediated Degradation of the Transcription Factor ERG Impacts the Pulmonary Vascular Response to Systemic Inflammatory Challenge

C. Schafer, S. Martin-Almedina, K. Kurylowicz, N. P. Dufton, L. Osuna-Almagro, M.-L. Wu, C. Johnson, A. Shah, D. O. Haskard, A. Buxton, E. Willis, K. Wheeler, S. Turner, M. Chlebicz, R. Scott, , C. T. Griffin

This study shows cytokine-induced degradation of ERG in lung endothelial cells leads to vascular hyperpermeability and inflammation during infection.

bioRxiv · Feb 8, 2023Cell Biology

An Rshiny app for modelling environmental DNA data: accounting for false positive and false negative observation error.

A. Diana, E. Matechou, J. Griffin, R. Griffiths, A. Buxton

The paper introduces an RShiny app that models eDNA data while accounting for false positive and false negative errors using a Bayesian approach.

bioRxiv · Dec 9, 2020Ecology