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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Has reproduction · 100
Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts.
PMID 35053177 · PMC8773604 · Biomolecules · 2021 · 8 claims · 8 setups
The 76GS, KS, and MLR EMT scoring metrics show concordant trends in quantifying EMP across bulk RNA-seq datasets spanning multiple cancer types
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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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Has reproduction · 95
Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.
PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups
Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature
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Full-text index only
Proteomic analysis of tumor necrosis factor-alpha resistant human breast cancer cells reveals a MEK5/Erk5-mediated epithelial-mesenchymal transition phenotype.
PMID 19087274 · PMC2656902 · Breast cancer research : BCR · 2008 · 8 claims · 7 setups
MEK5 over-expression promotes a TNF-α resistance phenotype in MCF-7 breast cancer cells
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Has reproduction · 53
Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.
PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 7 claims · 5 setups
A computational framework integrating independently measured CNV (DNA sequencing) and single-cell RNA-seq from the same patients identifies recurrent concordant copy number gain and gene upregulation (CNG-UP) events and functional modules at the single-cell level.