Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• A Single-Cell Atlas of Pan-Cancer Liver Metastasis Reveals Dynamic Cellular Programs Driving Metastatic Progression and Immune Modulation.

  PMID 41884334 · PMC13010057 · Research (Washington, D.C.) · 2026 · 8 claims · 4 setups

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  A pan-cancer single-cell transcriptomic atlas of liver metastasis was constructed from 100 scRNA-seq samples (75 individuals, 16 studies), profiling 460,337 cells into 121 distinct cellular subtypes.

  epithelial liver-related scrna-seq copy cellular

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus