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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Full-text index only
Genetical genomics: spotlight on QTL hotspots.
PMID 18949031 · PMC2563687 · PLoS genetics · 2008 · 8 claims · 4 setups
Distant eQTL hotspots are rare and difficult to reliably verify across published genetical genomics studies
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Full-text index only
Phenotypic variation meets systems biology.
PMID 19664197 · PMC2745761 · Genome biology · 2009 · 8 claims · 8 setups
Cellular differentiation states are constrained by complex networks with substantial positive and negative regulation, challenging the concept of single 'master regulators'
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Has reproduction · 93
Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets.
PMID 37563310 · PMC10457199 · Nature immunology · 2023 · 8 claims · 8 setups
Genome-wide pQTL mapping of 91 inflammation-related plasma proteins in 14,824 participants identified 180 significant pQTLs (59 cis, 121 trans) across 108 genomic regions and 70 proteins
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Has reproduction · 85
Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy.
PMID 41080564 · PMC12510942 · Frontiers in immunology · 2025 · 8 claims · 8 setups
Seven key immune-related genes (RNF165, SNCA, SRGN, MARCO, STEAP4, SIGLEC9, TKT) are associated with HCM by intersecting DEGs with MR-identified eQTLs
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Has reproduction · 49
LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evidence from multi-omics and single-cell analyses.
PMID 42064072 · PMC13124487 · Frontiers in immunology · 2026 · 8 claims · 8 setups
LRP1 is a hub gene with the highest diagnostic performance among 30 candidate hub genes identified by machine learning