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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Multiplexed discovery of sequence polymorphisms using base-specific cleavage and MALDI-TOF MS.
PMID 15731331 · PMC549577 · Nucleic acids research · 2005 · 8 claims · 7 setups
Multiplexed base-specific cleavage/MALDI-TOF MS (Multiplexed Comparative Sequence Analysis) enables simultaneous discovery of sequence polymorphisms across multiple target regions
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics
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The use of proteomics in biomarker discovery in neurodegenerative diseases.
PMID 15920295 · PMC3850612 · Disease markers · 2005 · 8 claims · 8 setups
A combination of low CSF-β-amyloid(1-42) with high CSF-tau and high CSF-phospho-tau is associated with an AD diagnosis
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The proteogenomic path towards biomarker discovery.
PMID 18764911 · PMC2574627 · Pediatric transplantation · 2008 · 8 claims · 8 setups
Serum creatinine is a widely used but non-ideal biomarker for renal transplant monitoring because it lacks specificity and sensitivity for graft injury
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.
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The use of neuroproteomics in drug abuse research.
PMID 19926406 · PMC3947580 · Drug and alcohol dependence · 2010 · 8 claims · 8 setups
Neuroproteomic technologies (2D-DIGE, iTRAQ, ICAT, etc.) enable identification of protein-level changes underlying effects of drugs of abuse such as amphetamine, morphine, cocaine, and alcohol.