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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Full-text index only
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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Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.
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Has reproduction · 92
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.
PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups
Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.
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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.