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).

• Characterizing gene perturbations in single cells via network divergence analysis.

  PMID 41965857 · PMC13249949 · Nature communications · 2026 · 8 claims · 8 setups

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  scDNS quantifies gene-specific functional perturbations by measuring Jensen-Shannon divergence between condition-specific gene interaction network configurations

  ipsc-derived embryonic panc-1 triple scrna-seq single-nucleus

• Numb prevents a complete epithelial-mesenchymal transition by modulating Notch signalling.

  PMID 29187638 · PMC5721160 · Journal of the Royal Society, Interface · 2017 · 8 claims · 8 setups

  Has reproduction · 49

  Numb/Numbl acts as a 'phenotypic stability factor' (PSF) that inhibits a complete EMT by stabilizing the hybrid E/M phenotype

  single-cell lattice h1975 ode-based multi-cell sirna

• Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing.

  PMID 41503159 · PMC12770975 · NAR genomics and bioinformatics · 2026 · 8 claims · 6 setups

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  Eight prominent imputation methods (MAGIC, SAVER, scVI, DCA, scBiG, kNN-smoothing, scImpute, ALRA) were systematically evaluated for their ability to recover the true non-zero expression fraction using simulated and real-world scRNA-seq data

  basal tracheal airway k562 simulated scrna-seq imputation

• Cell neighborhood topology directs rare cell population identification.

  PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell

• Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.

  PMID 38974967 · PMC11225361 · iScience · 2024 · 7 claims · 7 setups

  Has reproduction · 95

  Luminal breast cancer gene expression signature is closely/positively associated with an epithelial signature

  breast-cancer-specific tcga ccle four single-sample survival genome-wide

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn