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).

• Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci.

  PMID 41807385 · PMC12979833 · Nature communications · 2026 · 8 claims · 8 setups

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  Integration of CAD GWAS summary statistics with epigenetic data from 45 cell types identifies 1580 candidate CAD genes

  cad-associated disease-relevant types cad variant epigenetic tf-snv

• Identification of Four Potential Biomarkers Associated With Coronary Artery Disease in Non-diabetic Patients by Gene Co-expression Network Analysis.

  PMID 32714363 · PMC7344232 · Frontiers in genetics · 2020 · 6 claims · 6 setups

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  The midnight blue module and the yellow module play vital roles in the pathogenesis of CAD in non-diabetic patients

  pbmcs blood apoe genes microarray rt-qpcr elisa

• Deconvolution of the hematopoietic stem cell microenvironment reveals a high degree of specialization and conservation.

  PMID 35494238 · PMC9046238 · iScience · 2022 · 7 claims · 7 setups

  Has reproduction · 60

  Integration of three scRNA-seq datasets using a custom bootstrapping-based clustering pipeline robustly identifies 14 endothelial subclusters and 11 mesenchymal (stage-specific) subclusters in mouse bone marrow.

  bone independent scrna-seq gene singler

• Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.

  PMID 19997623 · PMC2780352 · PLoS genetics · 2009 · 8 claims · 6 setups

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  Functionally associated gene modules, not individual genes, underlie CAD development and can be identified via multi-organ expression clustering

  liver atherosclerotic 128-gene independent two-way gene bioinformatic

• Identification of Key Genes in Atherosclerosis by Combined DNA Methylation and miRNA Expression Analyses.

  PMID 35949126 · PMC9682560 · Anatolian journal of cardiology · 2022 · 7 claims · 7 setups

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  10 key genes (TCF7L2, CACNA1C, NRP1, GABBR2, FANCC, DCK, CCDC88C, TCF12, ABLIM1, PBX1) are regulated by both aberrant DNA methylation and miRNA activity in atherosclerosis

  aorta cardiovascular peripheral blood methylation mirna expression