Examination of cell-lineage and inter-cell interactions from spatial transcriptomics data

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Register Meeting ID: 918 4307 1125 One tap mobile +13017158592,,91843071125# US (Washington D.C) +19294362866,,91843071125# US (New York) Dial by your location +1 301 715 8592 US (Washington D.C) +1 929 436 2866 US (New York) +1 312 626 6799 US (Chicago) +1 346 248 7799 US (Houston) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) Meeting ID: 918 4307 1125 Find your local number: https://umd.zoom.us/zoomconference?m=Y08AKWEIVGj29FpUtKvDh6XrXwrgs53r&_x_zm_rtaid=vadt_ovMQsW3Gp_fB0ZwiA.1606755878229.ad1de988d4f60448e4883324bc60f7cb&_x_zm_rhtaid=741 Abstract: The spatial transcriptomics (ST) technology has enabled geographical profiling of tumor gene expression. However, each ST spot may detect mixture signals from diverse immune or malignant cells of unknown lineages, and local tissue densities may vary significantly across regions. Therefore, the decomposition of ST cell lineages remains a challenge that cannot be resolved by previous decomposition methods for fixed cell types in bulk tumors. We developed the Spatial Cell Estimator (SpaCE) to infer the cell identities and intercellular interactions for tumor ST data. Based on reliable cell lineage inference, SpaCE can further reveal how intercellular interactions affect the pathway and gene activities in distinct regions to modulate the cancer progression. Bio: Beibei Ru is a postdoctoral research fellow in Dr. Peng Jiang’s Lab at NCI/CDSL. He is developing tools to mining spatial transcriptomics data. Prior to joining Peng’s Lab, Beibei did his PhD at the University of Hong Kong where he investigated the aberrant epigenetic regulation in cancer development.