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Explore how Topological Data Analysis (TDA) can be used to characterize spatial distributions of mRNA at subcellular resolutions in this 51-minute talk by Erik Amézquita from the Applied Algebraic Topology Network. Discover how single-cell sequencing and molecular cartography technologies are being used to create detailed maps of transcript spatial locations across different genes, cell types, and organs in soybean roots and nodules. Learn how persistent homology provides topological shape signatures that reveal distinct patterns of plant transcript distribution between nucleus and cytoplasm, varying across genes and cell types. Understand the significance of this differential distribution as a regulatory mechanism controlling cell identity and state, offering new perspectives on protein translation and plant cell biology in a research area where comprehensive studies have been lacking.
