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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Robust and efficient annotation of cell states through gene signature scoring.
PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups
Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.
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Single-cell mapping of cholesterol metabolism reveals FDPS as a therapeutic vulnerability in hepatocellular carcinoma.
PMID 41706364 · PMC12916967 · Cellular oncology (Dordrecht, Netherlands) · 2026 · 7 claims · 8 setups
Cholesterol metabolic activity is markedly elevated in HCC tumors and in immune checkpoint blockade (ICB) non-responders, with pronounced intratumoral heterogeneity across malignant cell subpopulations
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Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer.
PMID 42038020 · PMC13104725 · Journal of Cancer · 2026 · 7 claims · 8 setups
MSI gastric cancer samples show significantly greater T cell infiltration and a lower proportion of epithelial cells compared to GS samples
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CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.
PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups
CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data
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Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.
PMID 41681864 · PMC12897147 · Cancers · 2026 · 8 claims · 8 setups
A 4-ARG prognostic model (NBEA, CLOCK, NLRX1, MAGEA3) built via stepwise multivariate Cox regression stratifies ESCC patients into high- and low-risk groups with significantly different survival.