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).

• Nutritional genomics, polyphenols, diets, and their impact on dietetics.

  PMID 18954579 · PMC2692306 · Journal of the American Dietetic Association · 2008 · 8 claims · 8 setups

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  Nutrient-gene interactions, exemplified by the MTHFR C677T polymorphism, modulate individual metabolic responses (e.g., homocysteine metabolism) and can be offset by adjusting nutrient intake such as folate

  mammary embryonic subjects rats gene histone carcinogen-induced

• Improvements to cardiovascular gene ontology.

  PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups

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  Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.

  coronary phospholamban mammalian lines gene expression large-scale

• Nutrigenomics: the genome--food interface.

  PMID 18087577 · PMC2137135 · Environmental health perspectives · 2007 · 8 claims · 8 setups

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  Nutrigenomics integrates genomic science with nutrition to study how dietary components affect gene expression, the proteome, and the metabolome.

  general humans lymphocytes healthy snp controlled micronucleus

• Proteomics: characterizing the cogs in the machinery of life.

  PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups

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  Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.

  blood lung hemoglobin proteins seldi-tof proteome tandem

• 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