Author

J. S. VanEpps

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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Bioengineering· 2 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

A. Violi· 1 shared B. M. McCracken· 1 shared C. Altheim· 1 shared C. I. Colmenaro· 1 shared D. C. Leander· 1 shared D. Newton· 1 shared J. A. Nemzek· 1 shared J. Min· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioengineering

A. Violi

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Author profile →

4 papers

Recent·Most cited

Stretchable, nano-crumpled MXene multilayers impart long-term antibacterial surface properties

N. Nagpal, M. A. Tokmedash, P.-Y. Chen, J. S. VanEpps, J. Min

This paper develops a stretchable MXene coating with crumpled nanostructures that provides long-term antibacterial effects and can remove adhered bacteria through dynamic deformation.

bioRxiv · Jan 23, 2023 · PreprintBioengineering

A Novel Swine Model of the Acute Respiratory Distress Syndrome Using Clinically-Relevant Injury Exposures

M. H. Tiba, B. M. McCracken, D. C. Leander, C. I. Colmenaro, J. A. Nemzek, M. W. Sjoding, K. E. Konopka, T. L. Flott, J. S. VanEpps, R. Daniels, K. R. Ward, K. A. Stringer, R. P. Dickson

This paper develops a swine model of ARDS using clinically relevant injury exposures and shows it recapitulates human ARDS features.

bioRxiv · Jan 24, 2021Pathology

Improved diagnostic prediction of the pathogenicity of bloodstream isolates of Staphylococcus epidermidis

S. M. VanAken, D. Newton, J. S. VanEpps

This study improves the diagnostic prediction of Staphylococcus epidermidis pathogenicity by combining phenotypic markers and virulence genes, achieving 82.4% accuracy.

bioRxiv · Oct 16, 2020Microbiology

Anti-biofilm Activity of Graphene Quantum Dots via Self-Assembly with Bacterial Amyloid Proteins

Y. Wang, U. Kadiyala, Z. Qu, P. Elvati, C. Altheim, N. A. Kotov, A. Violi, J. S. VanEpps

This paper shows graphene quantum dots disrupt Staphylococcus aureus biofilms by binding to amyloid fibers and preventing their fibrillation.

bioRxiv · Feb 19, 2019Bioengineering