Author

Denis Tsygankov

Georgia Institute of TechnologyORCID 0000-0002-1180-3584Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Denis Tsygankov1 paper · University of North Carolina at Chapel Hill

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Organism:human· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Alexander S. ZhovmeriD· 2 shared Alexander X. Cartagena‐RiveraiD· 2 shared Erdem D. TabdanoviD· 2 shared Yerbol TagayiD· 2 shared Anastasia ZhurikhinaiD· 1 shared David M. RutkowskiiD· 1 shared Dimitrios VavylonisiD· 1 shared Eric PetermaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersCell Biology

Alexander S. ZhovmerORCID

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Author profile →

3 papers

Recent·Most cited

Dynein-microtubule forces drive nucleokinesis and transmigration in T cells

Yerbol Tagay, Alexander S. Zhovmer, Nandini Sarkar, Jorik Stoop, Linjun Su, Laurel Flezsar, Eric Peterman, Jeffrey P. Rasmussen, Alexander X. Cartagena‐Rivera, Denis Tsygankov, Erdem D. Tabdanov

This study identifies dynein-microtubule forces as essential for nuclear translocation and transmigration in T cells, showing dynein's dual role as a motor and force-transmission element.

bioRxiv · Jul 5, 2026 · PreprintCell Biology

Immune Cell Migration Models Synergize Nuclear Piston, Uropod, and Microenvironment into Hydraulic Cell Engine

Sami Alawadhi, David M. Rutkowski, Yerbol Tagay, Alexander X. Cartagena‐Rivera, Alexander S. Zhovmer, Denis Tsygankov, Dimitrios Vavylonis, Erdem D. Tabdanov

The paper models immune cell migration by integrating nuclear piston, uropod, and microenvironment mechanics to show how they synergize for efficient movement through dense tissues.

bioRxiv · Sep 2, 2025 · PreprintBiophysics

Shape-to-graph Mapping Method for Efficient Characterization and Classification of Complex Geometries in Biological Images

William Pilcher, Xingyu Yang, Anastasia Zhurikhina, Olga Chernaya, Yinghan Xu, Peng Qiu, Denis Tsygankov

The paper introduces a shape-to-graph mapping method for quantifying and classifying complex geometries in biological images using graph-based metrics and machine learning.

PLoS Computational Biology · Sep 3, 2020Peer-reviewedBioinformatics