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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Single-cell spatial transcriptomics reveals tumor microenvironment heterogeneity in primary and lymph node-metastatic small cell lung cancer.
PMID 41916294 · PMC13130650 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
Three malignant subclusters (C5, C6, C9) are enriched in LNM tumors and display distinct metabolic and angiogenic programs alongside spatial immune exclusion
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ISG15-driven immune modulation and tumor progression in breast cancer metastasis: insights from single-cell and spatial transcriptomics.
PMID 41639695 · PMC12958617 · BMC medicine · 2026 · 8 claims · 8 setups
CSC proportion is elevated in lymph node metastatic tumor tissue (BRCA_LNMT) compared to primary tumor (BRCA_PT)
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Single cell profiling reveals malignant states and immune landscapes in PCNSL and systemic DLBCL.
PMID 42023148 · PMC13097095 · iScience · 2026 · 8 claims · 8 setups
PCNSL and sDLBCL contain five distinct malignant B-cell subtypes (B0-B4) with discrete differentiation trajectories
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Single-cell transcriptome analysis reveals DNMT1(+) epithelial cells promote lymphatic metastasis via CXCL17-mediated TAM infiltration.
PMID 41845371 · PMC13107741 · Journal of translational medicine · 2026 · 8 claims · 8 setups
DNMT1+ epithelial cells, characterized by high epithelial-mesenchymal transition potential, show a propensity for lymph node metastasis in bladder cancer
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Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data
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Predictive modeling of molecular activity underlying physical cell-cell interactions.
PMID 41672069 · PMC12946745 · Cell reports methods · 2026 · 8 claims · 5 setups
Gloss, an overlapping group lasso regression combining single-gene and curated pathway features, predicts LIPSTIC interaction intensity from scRNA-seq data