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This theater will showcase the latest in how new single cell approaches can better reveal cellular diversity, states and interactions missed by bulk analysis. Sessions will explore how to scale to millions of cells, developing better multi-modal assays, and the latest thinking on using single cell technologies to further illuminate our understanding of disease mechanisms, target exploration and biomarker discovery.
11:30
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A central challenge in regenerative biology is understanding why attempts to reprogram cell identity so often stall in unstable or incomplete states. Despite decades of investment in transcription fac …
12:00
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Sponsored by Parse Biosciences
12:30
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Introducing tinydenseR, a clustering‑independent framework enabling robust, scalable, and sensitive detection of differential cell states across large single‑cell datasets. tinydenseR eliminates reli …
14:10
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We present a comprehensive atlas of cellular composition and gene expression in the mouse colon, accomplished via mapping individual samples to a conserved “virtual organ” We develop “cSplotch,” a hi …
14:40
15:10
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New innovations in droplet-based single-cell profiling enable multi-modal and massive throughput We co-opt these new developments to measure cryptic molecules in the cell that have been understudied, …
16:10
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Single-cell atlases serve as cellular road maps and transformed our understanding of immune-mediated diseases Cross-disease analysis of single cell atlases reveals pathogenic cell states for early dru …
16:40
17:10
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The challenge of translating GWAS findings into variant mechanisms and cellular contexts SIMBA+: a probabilistic graph framework integrating single-cell multiomics with genetic association data Case …
11:30
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Developing blood-based single-cell assays to assess immune response to therapy from clinically collected frozen whole blood, including an innovative PAXgene protocol that preserves intact nuclei for c …
12:00
12:30
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Beyond Static Multiomics: Why studying the temporal ‘lag’ between transcriptomic and epigenomic states is essential for understanding cell fate. The SeqTag Technique: Scalable single-cell concurrent …
14:00
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Development and optimization of bulk and single-cell RNA-seq, whole-genome sequencing, and GWAS pipelines for variant discovery, CRISPR off-target detection, and clinical-grade drug product characteri …
14:30
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Deploying the Platform MACS workflow internally for rapid target evaluation and screening, integrating single-cell and spatial data to identify pathogenic cell subsets. Advanced computational techniq …
