Author

A. Garner

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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Biophysics· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Hafner· 1 shared A. R. Issa· 1 shared B. Webb· 1 shared C. Alonso· 1 shared C. E. Wobus· 1 shared C. Lengauer· 1 shared C. Ye· 1 shared D. Nagrath· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperMicrobiology

A. Hafner

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Norovirus NS1/2 protein increases glutaminolysis for efficient viral replication

A. Hafner, N. Meurs, A. Garner, E. Azar, K. D. Passalacqua, D. Nagrath, C. E. Wobus

This study identifies that the Norovirus NS1/2 protein enhances glutaminolysis to support viral replication in macrophages.

bioRxiv · Dec 19, 2023 · PreprintMicrobiology

Evaluation of PRKACA as a Therapeutic Target for Fibrolamellar Carcinoma

S. S. Schalm, E. O'Hearn, K. Wilson, T. P. LaBranch, G. Silva, Z. Zhang, L. DiPietro, N. Bifulco, R. Woessner, N. Stransky, D. Sappal, R. Campbell, R. Lobbardi, M. Palmer, J. Kim, , K. P. Hoeflich

This study evaluates PRKACA as a therapeutic target for fibrolamellar carcinoma using PDX models and shows that its knockdown or inhibition reduces tumor growth.

bioRxiv · Jan 31, 2022 · PreprintCancer Biology

A physical theory of movement in small animals

J. Loveless, A. Garner, A. R. Issa, R. J. V. Roberts, B. Webb, L. L. Prieto-Godino, T. Ohyama, C. Alonso

This paper develops an effective physical theory to explain Drosophila larval movement behaviors using statistical mechanics and symmetry principles, showing it predicts various postural modes and dynamics.

bioRxiv · Aug 25, 2020 · PreprintBiophysics