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This theater will explore the latest methods in how mapping molecular data in its native tissue context reveals new biological insights. It will compare new spatial omics approaches, examine trade-offs in resolution, coverage, accuracy and cost, and present case studies featuring complex diseases, including innovative approaches for integration with single-cell analysis and pathology.
11:30
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Speakers
12:00
12:30
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Direct comparisons of spatial transcriptomic (ST) platform performance remain limited, especially across diverse and challenging tissue types. Here we present a systematic comparison of several leadi …
14:10
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Building a single-section spatial multiomics workflow integrating ST, SRS metabolomics, MSI proteomics, IHC, and histology with robust co-registration. Aligning metabolic maps with ST-defined cell ty …
14:40
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Sponsored by Aspect Analytics
15:10
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Same-slide multimodal profiling using Xenium and PhenoCycler-Fusion across 50+ human FFPE tissues in health and disease Systematic cell-by-cell comparison of RNA and protein abundance in immune and s …
16:10
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VR-Omics: a free, platform-agnostic framework for automated analysis and immersive 3D visualisation of spatial transcriptomics data across both desktop and virtual reality environments Key findings f …
16:40
17:10
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We implemented a biologically inspired benchmarking approach to assess the impact of varying resolutions of spatial transcriptomics platforms We demonstrate how resolution and gene plexy impacts clus …
11:30
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To better understand cardiomyopathy, we assembled a >4.5 million cell dataset across human, mouse, rat and fetal hearts Spatial transcriptomics enable us to define cardiomyocyte states on the niche-, …
12:00
12:30
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Advancing Precision Diagnostics for Cleft Palate: This research pivots toward a precision medicine approach for one of the most common congenital anomalies, aiming to replace arduous clinical journeys …
14:00
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Disease profiling using spatial data is challenging due to its spatio-temporal nature, biological heterogeneity observed within or across donor tissue samples and other technical challenges pertaining …
14:30
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Preanalytical, wet lab, and analytical variables that influence spatial omics data Applications and challenges of spatial omics in preclinical species Importance of pathologists in spatial omics ex …
15:00
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Integrating bulk and single-cell transcriptomic data in a complementary framework to contextualize spatial findings and strengthen biological interpretation. Leveraging spatially resolved insights to …
