Author

H. Weiss

Pennsylvania State University

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 Microbiology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Organism:E. coli· 1

Frequent Co-Authors

A. Kabat· 1 shared C. S. Field· 1 shared C. Wang· 1 shared D. E. Sanin· 1 shared D. J. Puleston· 1 shared D. R. Green· 1 shared E. J. Pearce· 1 shared E. L. Pearce· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Kabat

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Mechanistic Approach to Optimize Combination Antibiotic Therapy

Fabrizio Clarelli, Pierre Ankomah, H. Weiss, Jessica M. Conway, Guro Forsdahl, Pia Abel zur Wiesch

This paper introduces a mechanistic model to optimize antibiotic combinations by incorporating drug mechanisms and testing synergy in Escherichia coli.

Biosystems · Dec 24, 2024Peer-reviewedPharmacology & Toxicology

Polyamine Metabolism Regulates the T Cell Epigenome Through Hypusination

D. J. Puleston, F. Baixauli, D. E. Sanin, M. Villa, A. Kabat, M. M. Kaminski, H. Weiss, K. Grzes, L. J. Flachsmann, C. S. Field, M. Stanckzak, L. Schimmelpfennig, F. Hassler, C. Wang, N. Yosef, , E. L. Pearce

This study shows that polyamine metabolism, specifically through hypusination, is essential for maintaining T cell subset identity by regulating the epigenome and transcriptional programs.

bioRxiv · Jan 24, 2020 · PreprintImmunology

Pharmacodynamic Considerations of Collateral Sensitivity in Design of Antibiotic Treatment Regimen

K. I. Udekwu, H. Weiss

The paper develops a mathematical model to evaluate antibiotic cycling protocols, showing that high concentrations of bacteriostatic antibiotics can prevent resistance development.

bioRxiv · May 31, 2018Microbiology