Morphodynamic Profiling: Frequency Spectra Encode Cellular Signaling States
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About The Author

Xiao Ma is a post-doctoral researcher at the University of Texas Southwestern Medical Center Danuser lab. His research endeavors to adopt and develop adaptive spectral analysis to elucidate cellular morphodynamics during migration, utilize unsupervised clustering algorithm to profile the cellular edge motion into featured subcellular morphogenetic regions, and correlate the morphodynamic behavior with the spatiotemporal regulation of GEF and GTPase signaling. In his free time, Xiao enjoys playing soccer and reading history.

                       

Morphodynamic Profiling: Frequency Spectra Encode Cellular Signaling States

Cell shape (morphology) and its temporal variation (morphodynamics) are the phenotypic outcomes of many cellular processes, including migration, tissue organization, proliferation, differentiation, and death. Thus, they often serve as indicators of physiological and pathological states of cells. The best examples, perhaps, are cytology and histology, where – despite all the advances in genomic and molecular profiling – pathologists still assess disease progression mostly based on cell and tissue morphological features. Moreover, innumerable molecular signaling pathways converge onto the regulation of...

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