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).
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Comparative proteome analysis of breast cancer and adjacent normal breast tissues in human.
PMID 17127214 · PMC5054074 · Genomics, proteomics & bioinformatics · 2006 · 8 claims · 7 setups
15 differential protein spots were detected in 11 of 12 (91.7%) breast cancer tissue samples compared with adjacent normal tissue
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues.
PMID 15626334 · PMC5172349 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 5 setups
Well-resolved, reproducible 2-DE profiles of human lung squamous carcinoma and normal bronchial epithelial tissues were obtained under optimized conditions (0.75-mg protein load, TCA precipitation)
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InSituPREP enables 3D single-cell mapping of interaction-associated gene programs in the breast cancer tumor microenvironment.
PMID 42109251 · PMC13158666 · Nucleic acids research · 2026 · 8 claims · 6 setups
InSituPREP is a computational framework that quantifies proximity-associated gene programs across multiple analytical layers (binary contacts, graded distance, density, triplets, RNA velocity) in 3D single-cell spatial data