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 · 83
Mural cell-derived chemokines provide a protective niche to safeguard vascular macrophages and limit chronic inflammation.
PMID 37652021 · PMC10588993 · Immunity · 2023 · 7 claims · 8 setups
Mural cell-derived chemokines CCL2 and MIF preserve vascular macrophage survival and homeostatic function, generating a protective niche.
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Full-text index only
Proteomic analysis of integrin-associated complexes identifies RCC2 as a dual regulator of Rac1 and Arf6.
PMID 19738201 · PMC2857963 · Science signaling · 2009 · 8 claims · 8 setups
A novel ligand-affinity/cross-linking proteomic methodology enables isolation of labile integrin-associated signaling complexes
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Full-text index only
FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.
PMID 17478504 · PMC1933151 · Nucleic acids research · 2007 · 8 claims · 8 setups
FatiGO+ is a web-based tool for functional profiling of genome-scale experiments that integrates functional annotation, regulatory motifs and interaction data
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Full-text index only
Organization of physical interactomes as uncovered by network schemas.
PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups
A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions