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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A protein-based set of reference markers for liver tissues and hepatocellular carcinoma.
PMID 19725976 · PMC2742551 · BMC cancer · 2009 · 7 claims · 5 setups
Three protein spots (beta-actin, HSP60, PDI) show low expression variability across tumourous, non-tumourous cirrhotic, and normal liver tissues by 2-DE (ANOVA p>0.99 ranking)
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Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.
PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups
DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)
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CD70 (TNFSF7) is expressed at high prevalence in renal cell carcinomas and is rapidly internalised on antibody binding.
PMID 16892042 · PMC2360640 · British journal of cancer · 2006 · 6 claims · 6 setups
CD70 was identified by proteomic analysis of plasma membrane preparations as highly expressed in A498 and SW839 RCC-derived cell lines
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Has reproduction · 100
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.
PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups
S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.
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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.