Author

Laura J. Kaufman

Columbia UniversityORCID 0000-0002-3754-0831Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Research Focus:development & morphogenesis· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Alexander J. Devanny· 3 shared Karen YuiD· 2 shared Anil K. RustgiiD· 1 shared Asja GuzmaniD· 1 shared Carol L. PrivesiD· 1 shared Gizem EfeiD· 1 shared Iris G. MerceriD· 1 shared Joseph L. Hammer· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBiophysics

Alexander J. Devanny

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Nuclear Packing Sets Fluidity Along the Epithelial to Mesenchymal Spectrum

Karen Yu, Alexander J. Devanny, Laura J. Kaufman

The paper investigates how nuclear packing affects fluidity during epithelial-to-mesenchymal transition by analyzing spheroid coalescence and nuclear properties.

PRX Life · Jun 11, 2026Peer-reviewedBiophysics

Mutant p53 regulates cancer cell invasion in complex three-dimensional environments through mevalonate pathway-dependent Rho/ROCK signaling.

Asja Guzman, Tatsuya Kawase, Alexander J. Devanny, Gizem Efe, Raúl Navaridas, Karen Yu, Kausik Regunath, Iris G. Mercer, Rachel C. Avard, Rafaela Muniz de Queiroz, Anil K. Rustgi, Laura J. Kaufman, Carol L. Prives

This study shows mutant p53 promotes cancer cell invasion in 3D environments via mevalonate pathway-dependent Rho/ROCK signaling and ECM reorganization.

Proceedings of the National Academy of Sciences · Oct 21, 2025Peer-reviewedCancer Biology

Density-based optimization for unbiased, reproducible clustering applied to single molecule localization microscopy

Joseph L. Hammer, Alexander J. Devanny, Laura J. Kaufman

This paper introduces DBOpt, a method to optimize density-based clustering parameters for SMLM data, improving clustering accuracy and reproducibility.

Communications Biology · Jun 10, 2025Peer-reviewedBiophysics