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).
-
Has reproduction · 64
Celline: a flexible tool for one-step retrieval and integrative analysis of public single-cell RNA sequencing data.
PMID 41458999 · PMC12738925 · Frontiers in bioinformatics · 2025 · 8 claims · 6 setups
Celline is a Python package that automates the full scRNA-seq workflow (retrieval, metadata extraction, preprocessing, cell-type annotation, batch correction, trajectory inference) via single-line commands.
-
Full-text index only
A disease model resource reveals core principles of tissue-specific cancer evolution.
PMID 41741657 · PMC13149333 · Nature · 2026 · 8 claims · 8 setups
The Mouse Cancer Cell line Atlas (MCCA) is a broad-utility resource of 590 comprehensively characterized mouse cancer cell line models spanning 22 lineages and 46 disease types, accessible via a web portal (www.mcca.tum.de)
-
Full-text index only
Distinct origins and niches determine the cellular responsiveness of CNS macrophages after repopulation.
PMID 41851525 · PMC13132723 · Nature immunology · 2026 · 8 claims · 8 setups
Microglia repopulate rapidly and exclusively cell-autonomously from surviving microglia after CSF-1R inhibitor (BLZ945) depletion.
-
Full-text index only
Niacin promotes motor function recovery after spinal cord injury via Hcar2-dependent microglia immunometabolic regulation.
PMID 42068080 · PMC13135113 · Clinical and translational medicine · 2026 · 8 claims · 8 setups
Hcar2 is a microglia-enriched gene whose spinal cord expression is upregulated after SCI, peaking at 7 days post-injury
-
Full-text index only
Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data