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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Tissue microarrays characterise the clinical significance of a VEGF-A protein expression signature in gastrointestinal stromal tumours.
PMID 17299397 · PMC2360083 · British journal of cancer · 2007 · 8 claims · 5 setups
A combined VEGF-A ligand and flt-1 receptor protein expression signature discriminates malignant from benign GIST
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Has reproduction · 63
Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.
PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups
Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes
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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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A global view of protein expression in human cells, tissues, and organs.
PMID 20029370 · PMC2824494 · Molecular systems biology · 2009 · 7 claims · 6 setups
A high fraction (>65%) of proteins is expressed in most human cells and tissues, while very few proteins (<2%) are detected in any single cell type.
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Has reproduction · 59
Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.
PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups
NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering