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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Liver fatty acid binding protein expression in colorectal neoplasia.
PMID 15138477 · PMC2409459 · British journal of cancer · 2004 · 8 claims · 5 setups
L-FABP is consistently lost/decreased in colorectal cancer compared with paired normal colon tissue
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The effects of quercetin on SW480 human colon carcinoma cells: a proteomic study.
PMID 15748282 · PMC555539 · Nutrition journal · 2005 · 8 claims · 4 setups
20 μM quercetin treatment of SW480 cells for 48 h consistently decreased expression of three proteins and increased expression of one protein across four independent experiments.
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Characterisation and protein expression profiling of annexins in colorectal cancer.
PMID 18071363 · PMC2361450 · British journal of cancer · 2008 · 7 claims · 5 setups
Annexins A1, A2, A4 and A11 are overexpressed in primary colorectal cancer compared with normal colon
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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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Comparative proteomic analysis of cell lines and scrapings of the human intestinal epithelium.
PMID 17407598 · PMC1852558 · BMC genomics · 2007 · 8 claims · 7 setups
Global protein expression profiles of cultured intestinal epithelial cell lines differ from those of intestinal epithelial scrapings in vivo
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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.