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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Androgen activity in the male embryonic hindbrain drives lethal PFA ependymoma.
PMID 41882358 · PMC13083265 · Nature · 2026 · 8 claims · 8 setups
The cellular hierarchy of PFA ependymoma is less differentiated in male than in female patients
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Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of development.
PMID 16800721 · PMC1483910 · PLoS medicine · 2006 · 8 claims · 8 setups
Multi-scale genomic similarities exist between four human lung cancer subtypes and the developing mouse lung, and these similarities are prognostically meaningful.
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Integrated transcriptomic landscape of medulloblastoma and ependymoma reveals novel tumor subtype-specific biology.
PMID 41159380 · PMC12979040 · Neuro-oncology · 2026 · 8 claims · 8 setups
A unified UMAP-based transcriptomic landscape built from 888 medulloblastoma and 370 ependymoma tumors reveals distinct clusters corresponding to known and novel molecular subtypes.
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Integrative Multiomic Classification Reveals Distinct Origins and Evolutionary Trajectories of Thymic Epithelial Tumors.
PMID 41671387 · PMC13012242 · Cancer research · 2026 · 8 claims · 8 setups
TETs stratify into three molecular subgroups with distinct origins: GTF2I-type thymomas, CN-type thymomas, and thymic carcinomas
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Has reproduction · 70
Bulk and single-cell characterisation of the immune heterogeneity of atherosclerosis identifies novel targets for immunotherapy.
PMID 36855107 · PMC9974063 · BMC biology · 2023 · 8 claims · 8 setups
Integration of scRNA-seq datasets from human atherosclerosis samples identifies 28 distinct immune cell subpopulations with heterogeneity in tissue preference, genetics, function, immune dynamics, transcriptional regulators, metabolism, and cell communication.
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Has reproduction · 67
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.
PMID 36548438 · PMC9822106 · PLoS computational biology · 2022 · 8 claims · 6 setups
An individualized Bayesian causal discovery framework can learn tumor-specific intercellular communication networks (ICNs) by combining single-cell gene expression module (GEM) discovery, bulk tumor deconvolution, and individualized causal network learning.