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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A cellular epigenetic classification system for glioblastoma.
PMID 41499453 · PMC13128495 · Neuro-oncology · 2026 · 8 claims · 8 setups
ITHresolveGBM, a hierarchical two-step NMF method, deconvolutes bulk GBM DNA methylation profiles into three non-malignant (immune, glial, neuronal) and three malignant components
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A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cells.
PMID 41484771 · PMC12882460 · Molecular cancer · 2026 · 7 claims · 5 setups
Integration of pan-cancer scRNA-seq data yields a comprehensive single-cell atlas of 157,025 high-quality DNT cells across 23 cancer types.
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Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small-cell lung cancer.
PMID 41966692 · PMC13130634 · Cell reports. Medicine · 2026 · 8 claims · 6 setups
Different histologic components within cSCLC tumors share a monoclonal origin
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Live-cell Pick-Seq (LiP-Seq): Interrogating ultra-rare mantle cell lymphoma persistent cells after CART19 therapy.
PMID 41855504 · PMC13234471 · Blood advances · 2026 · 8 claims · 7 setups
LiP-Seq is a novel platform combining multiplexed live-cell imaging and needle-based single-cell retrieval that enables transcriptomic profiling of ultrarare (down to 10^-6 frequency), viable persistent lymphoma cells
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Has reproduction · 74
SpaGene: A Deep Adversarial Framework for Spatial Gene Imputation.
PMID 42146899 · PMC13176606 · Computational and structural biotechnology journal · 2026 · 8 claims · 6 setups
SpaGene improves average PCC and SSIM and reduces RMSE compared to 6 baseline methods (SpaGE, gimVI, Tangram, VISTA, spRefine, stDiff) across 8 diverse ST-SC dataset pairs under gene-holdout evaluation.