Author

Ryan J. McQuillen

Johns Hopkins University Applied Physics LaboratoryORCID 0000-0002-0399-5248Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:experimental assay· 1

Frequent Co-Authors

Laura J. DunphyiD· 2 shared Alan W Hunt· 1 shared Amilcar J. PereziD· 1 shared Christopher H. BohreriD· 1 shared Diego Luna· 1 shared Erik C. JohnsoniD· 1 shared Erika L. SmithiD· 1 shared Erin D. GoleyiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCell Biology

Laura J. DunphyORCID

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Author profile →

3 papers

Recent·Most cited

Image-based Morphological Profiling Reveals Signatures of Radiation Exposure

Olivia N. Tiburzi, Laura J. Dunphy, Sarah Ton, Leah Talbott, Ryan J. McQuillen, Alan W Hunt

This study uses image-based morphological profiling to detect radiation exposure signatures in fibroblasts, showing morphological changes as early as 4 hours post-exposure.

bioRxiv · Nov 27, 2025 · PreprintCell Biology

Light-dependent modulation of protein localization and function in living bacteria cells

Ryan J. McQuillen, Amilcar J. Perez, Xinxing Yang, Christopher H. Bohrer, Erika L. Smith, Sylvia Chareyre, Ho‐Ching Tiffany Tsui, Kevin E. Bruce, Yin Mon Hla, Joshua W. McCausland, Malcolm E. Winkler, Erin D. Goley, Kumaran S. Ramamurthi, Jie Xiao

This study shows that the CRY2/CIB1 system can be used to precisely control protein localization in E. coli, enabling manipulation of cellular functions like cytokinesis.

Nature Communications · Dec 30, 2024Peer-reviewedSynthetic Biology

DeepPaint: A deep-learning package for Cell Painting Image Classification

Diego Luna, Erik C. Johnson, Laura J. Dunphy, Ryan J. McQuillen

DeepPaint is a deep learning package that classifies Cell Painting images without requiring cell segmentation, achieving high accuracy in binary and multiclass classification of biological perturbations.

bioRxiv · Oct 8, 2024 · PreprintBioinformatics