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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Genomic and proteomic profiling of responses to toxic metals in human lung cells.
PMID 12760830 · PMC1241504 · Environmental health perspectives · 2003 · 8 claims · 8 setups
Toxic metals (Cd, Cr, Ni, As) each induce a largely distinct, metal-specific pattern of gene expression changes in BEAS-2B human bronchial epithelial cells
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The field of tissue injury in the lung and airway.
PMID 19138985 · PMC2705781 · Cancer prevention research (Philadelphia, Pa.) · 2008 · 8 claims · 8 setups
Field cancerization and the field of injury reflect molecular changes (genomic, epigenomic, transcriptomic, proteomic) present in histologically normal-appearing tissue distant from and independent of a tumor, throughout the carcinogen-exposed respiratory epithelium
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Has reproduction · 62
A curated collection of transcriptome datasets to investigate the molecular mechanisms of immunoglobulin E-mediated atopic diseases.
PMID 31290545 · PMC6616200 · Database : the journal of biological databases and curation · 2019 · 5 claims · 8 setups
A curated collection of 33 GEO transcriptome datasets relevant to IgE-mediated atopic diseases (allergies to primary immunodeficiencies) was assembled, encompassing 1860 transcriptome profiles.
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A physical and regulatory map of host-influenza interactions reveals pathways in H1N1 infection.
PMID 20064372 · PMC2892837 · Cell · 2009 · 8 claims · 8 setups
A systematic yeast two-hybrid screen identified physical interactions between the 10 major PR8 influenza viral proteins and human proteins, implicating 87 human 'H1' proteins.
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics