Author

T. Curtis Shoyer

Duke UniversityORCID 0000-0001-5746-4891Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

Aaron T. BlanchardiD· 1 shared Barbara Di VenturaiD· 1 shared Benjamin A. Johns· 1 shared Brenton D. HoffmaniD· 1 shared Jennifer L. WestiD· 1 shared Juilee N. MalavadeiD· 1 shared Kasie L. Collins· 1 shared Trevor R. HamiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

Aaron T. BlanchardORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintMay 20, 2026

Computational screen of promoter configurations that robustly sense transcription factor dynamics

T. Curtis Shoyer, Barbara Di Ventura

The paper computationally screens promoter models to identify configurations that robustly respond to sustained or pulsatile transcription factor dynamics.

DOI 10.64898/2026.05.19.726340

statistical model

𝕏 PostBluesky

Cell BiologyCell Reports MethodsPeer-reviewedJul 1, 2024

Detection of Fluorescent Protein Mechanical Switching in Cellulo

T. Curtis Shoyer, Kasie L. Collins, Trevor R. Ham…·Brenton D. Hoffman

This paper detects fluorescent protein mechanical switching in living cells using FRET-based biosensors and shows it is reversible and influenced by cellular forces.

4 citations

humanfluorescence / live-cell microscopy

𝕏 PostBluesky