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 multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.
PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups
Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification
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Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.
PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups
SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix
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Dissecting gene regulatory networks governing human cortical cell fate.
PMID 41565813 · PMC12999477 · Nature · 2026 · 8 claims · 6 setups
ZNF219, a previously uncharacterized transcription factor, represses neural differentiation in human cortical radial glia
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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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Multimodal antigenic escape to GPRC5D-targeted T cell engagers in multiple myeloma.
PMID 41540108 · PMC13004696 · Nature medicine · 2026 · 7 claims · 7 setups
GPRC5D antigenic drift/mutational events occurred in 68.4% of relapsed cases following anti-GPRC5D TCE therapy (13/19 evaluable patients)
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Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.
PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups
Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile