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).

• Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma.

  PMID 38433919 · PMC10905000 · iScience · 2024 · 8 claims · 8 setups

  Has reproduction · 100

  The four proposed GBM molecular subtypes (Proneural, Neural, Classical, Mesenchymal / NPC-like, OPC-like, AC-like, MES-like) are not mutually exclusive or independent of one another

  scrna-seq tcga-gbm gse131928 tumor gene pairwise principal

• Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.

  PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups

  Has reproduction · 95

  Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature

  breast-cancer-specific tcga ccle four single-sample survival genome-wide

• Omics Playground: a comprehensive self-service platform for visualization, analytics and exploration of Big Omics Data.

  PMID 33575569 · PMC7671354 · NAR genomics and bioinformatics · 2020 · 8 claims · 5 setups

  Has reproduction · 61

  Omics Playground is a user-friendly, interactive self-service platform for in-depth analysis, visualization, and interpretation of transcriptomics and proteomics data, including single-cell RNA-seq.

  l1000 bulk lc-ms single-cell

• Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.

  PMID 38230570 · PMC10795782 · Cancer biology & therapy · 2024 · 8 claims · 6 setups

  Has reproduction · 87

  NOR-specific and MES-specific gene expression patterns are largely mutually exclusive, exhibiting a teams-like behavior across multiple bulk NB transcriptomic datasets

  lines bulk single-cell housekeeping bulk pca single-sample

• A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.

  PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups

  Full-text index only

  CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts

  tcga-gbm glioma meta consensus wgcna machine