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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Human epigenome project--up and running.
PMID 14691553 · PMC300691 · PLoS biology · 2003 · 7 claims · 4 setups
Epigenetic modifications (e.g., DNA methylation) rather than DNA sequence differences explain phenotypic differences between genetically identical individuals, such as monozygotic twins or inbred mice.
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The role of medical structural genomics in discovering new drugs for infectious diseases.
PMID 19855826 · PMC2756625 · PLoS computational biology · 2009 · 8 claims · 6 setups
Structure-based drug design using X-ray/NMR protein structures has contributed to the development of numerous approved and improved therapeutics.
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New perspectives on an old disease: proteomics in cancer research.
PMID 17472735 · PMC1895992 · Genome biology · 2007 · 8 claims · 8 setups
The HUPO Plasma Proteome Project has catalogued over 3,020 non-redundant gene products (>7,000 proteins/isoforms) in human plasma, many originating from tissues/organs rather than being plasma-intrinsic.
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A novel role for mitochondria in regulating epigenetic modification in the nucleus.
PMID 18458531 · PMC2639623 · Cancer biology & therapy · 2008 · 8 claims · 6 setups
Mitochondria regulate epigenetic (DNA methylation) modification in the nucleus
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A cell biological perspective on genome research.
PMID 8522596 · PMC2120688 · The Journal of cell biology · 1995 · 7 claims · 7 setups
Genome sequencing represents a sixth stage in the historical progression of structural biology (comparative anatomy through crystallography), and will be similarly valuable once related to function.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.