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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Tensor-cell2cell v2 unravels coordinated dynamics of protein- and metabolite-mediated cell-cell communication.
PMID 41719185 · PMC12937581 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups
Tensor-cell2cell v2 implements a non-negative coupled tensor component analysis (CTCA) that jointly factorizes protein- and metabolite-mediated communication tensors sharing context, sender, and receiver dimensions while keeping ligand-type-specific (private) dimensions separate.
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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Has reproduction · 82
Temporal control of progenitor competence shapes maturation in GABAergic neuron development in mice.
PMID 40629142 · PMC12321585 · Nature neuroscience · 2025 · 8 claims · 8 setups
Ganglionic eminence (ventral) progenitors maintain stable differentiation competence throughout neurogenesis, generating a consistent set of postmitotic precursor states at all stages, unlike dorsal cortical progenitors whose differentiation competence changes gradually.
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Has reproduction · 86
Single-cell transcriptome maps of myeloid blood cell lineages in Drosophila.
PMID 32900993 · PMC7479620 · Nature communications · 2020 · 8 claims · 8 setups
Single-cell RNA-seq of developing Drosophila lymph glands resolves heterogeneity of hemocytes and identifies major and sub cell types.
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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Of brain and bone: the unusual case of Dr. A.
PMID 20183548 · PMC2997763 · Neurocase · 2009 · 7 claims · 8 setups
Dr. A's EXT2 mutation may play a role in the pattern of neurodegeneration seen in his FTD, given that Ext1-knockout mice show CNS defects including loss of olfactory bulbs and abnormally small cerebral cortex