Author

T. F. Shay

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· 4

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 4 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

V. Gradinaru· 4 shared X. Chen· 4 shared X. Ding· 4 shared E. E. Sullivan· 3 shared C. M. Arokiaraj· 2 shared D. A. Wolfe· 2 shared D. Goertsen· 2 shared A. Akrami· 1 shared

Activity by Year

2023-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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4 shared papersBioengineering

V. Gradinaru

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

BioengineeringNature CommunicationsPeer-reviewedSep 8, 2024

Human cell surface-AAV interactomes identify LRP6 as blood-brain-barrier transcytosis receptor and immune cytokine IL3 as AAV9 binder

T. F. Shay, S. Jang, X. Chen…·V. Gradinaru

DOI 10.1038/s41467-024-52149-0

humanexperimental assay

BioengineeringbioRxivJan 12, 2023

Primate-conserved Carbonic Anhydrase IV and murine-restricted Ly6c1 are new targets for crossing the blood-brain barrier

T. F. Shay, E. E. Sullivan, X. Ding…·V. Gradinaru

The paper identifies two new receptors, Ly6c1 and Car4/CA4, for crossing the blood-brain barrier using AAV vectors and computational modeling.

DOI 10.1126/sciadv.adg6618

BioengineeringbioRxivJan 12, 2023

Functional gene delivery to and across brain vasculature of systemic AAVs with endothelial-specific tropism in rodents and broad tropism in primates

X. Chen, D. A. Wolfe, D. Sivadasan Bindu…·V. Gradinaru

The paper develops AAV vectors with endothelial-specific tropism for brain delivery in rodents and broad tropism in primates, demonstrating their utility in genetic engineering of the blood-brain barrier.

DOI 10.1038/s41467-023-38582-7

BioengineeringbioRxivJan 11, 2023

Fast, accurate ranking of engineered proteins by receptor binding propensity using structure modeling

X. Ding, X. Chen, E. E. Sullivan…·V. Gradinaru

This paper introduces APPRAISE, a method that rapidly ranks engineered proteins by their receptor binding propensity using structure modeling, demonstrating its accuracy on various protein classes.

DOI 10.1016/j.ymthe.2024.04.003

protein structuredeep learning