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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Tissue MicroArray (TMA) analysis of normal and persistent Chlamydophila pneumoniae infection.
PMID 17052347 · PMC1622754 · BMC infectious diseases · 2006 · 8 claims · 4 setups
TMA/IHC staining patterns of GroEL, GroES, GspD, Ndk and Pyk in cell pellets generally corresponded to differential regulation patterns previously found by 2D gel proteomic analysis of IFN-γ-induced persistence
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Has reproduction · 100
Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation.
PMID 41039608 · PMC12490039 · Genome medicine · 2025 · 7 claims · 7 setups
A distinct gene co-expression module with a prominent T cell signature is associated with unstable plaques.
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Comprehensive analysis of the causal risk factor from hypertension associated with prognosis and therapeutic response in renal cell carcinoma by multi-omics analysis and validation.
PMID 41680825 · PMC12998095 · Biology direct · 2026 · 8 claims · 8 setups
A 48-gene cross-species hypertension (HTN) gene module identified from human and SHR rat scRNA-seq can classify ccRCC patients into two molecular subgroups with distinct survival and targeted therapy response
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Has reproduction · 85
GSDME-mediated pyroptosis promotes the progression and associated inflammation of atherosclerosis.
PMID 36807553 · PMC9938904 · Nature communications · 2023 · 8 claims · 8 setups
GSDME-mediated pyroptosis promotes atherosclerosis progression and its associated inflammation
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Full-text index only
Science review: searching for gene candidates in acute lung injury.
PMID 15566614 · PMC1065043 · Critical care (London, England) · 2004 · 8 claims · 8 setups
The candidate gene approach combined with an ortholog gene database and gene ontology analysis identifies ALI candidate genes, with blood coagulation and inflammation ontologies most highly represented