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Abstract:
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Our team in the University of Michigan have worked with colleagues in the Human Cell Atlas to create single-cell RNAseq data for adult reproductive tissues, including the testis, fallopian tube, uterus, and the ovary. The study now extends to comparisons among species, incorporation of proteome data, validation of newly revealed progenitor cells in in vitro models and, in some cases, comparisons with embryonic tissues and diseased samples. Meanwhile, we collected spatial transcriptomic data using NanoString's GeoMx technology and multiplexed single-molecule in situ imaging method, akin to the MERFISH and Intronic SeqFISH+ approaches. The talk will focus on computational challenges integrating across data types and with spatial data. In the ovary, for example, NanoString's relatively coarse spatial data uncovered differences between the theca and granulosa cell populations that remain difficult to detect with scRNASeq data for thousands of cells. After addressing data-specific statistical properties, our combined use of single-cell and spatial data provided a clearer view of cell states than using either approach alone.
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