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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Has reproduction · 63
Stromal androgen signaling acts as tumor niches to drive prostatic basal epithelial progenitor-initiated oncogenesis.
PMID 36323713 · PMC9630272 · Nature communications · 2022 · 8 claims · 8 setups
Loss of AR in stromal Gli1-lineage cells diminishes prostate epithelial oncogenesis and tumor development in vivo
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A pan-cancer single-cell transcriptomic atlas of human bone metastases.
PMID 41619722 · PMC12923970 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
Constructed a pan-cancer single-cell transcriptomic atlas of 62 human bone metastases (predominantly spinal) across 13 primary cancer types, with paired primary tumor and normal bone marrow samples.
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Has reproduction · 90
Multi-omic identification of perineurial hyperplasia and lipid-associated nerve macrophages in human polyneuropathies.
PMID 40849297 · PMC12375038 · Nature communications · 2025 · 8 claims · 8 setups
Multi-omic profiling (snRNA-seq + spatial transcriptomics) of human sural nerves identifies novel cell type markers (MLIP in mySC; GRIK3, PRIMA1 in nmSC; CXCL14 in periC) not previously described in rodent or human literature
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Has reproduction · 42
Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.
PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups
PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.