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).

• Charting spatial ligand-target activity using Renoir.

  PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups

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  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.

  intestine triple-negative dorsolateral dlpfc semi-synthetic spatial single-cell

• Switching base preferences of mismatch cleavage in endonuclease V: an improved method for scanning point mutations.

  PMID 17130153 · PMC1702505 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  A single Y80A alanine substitution switches Tma endo V from purine-preferring to essentially C-specific mismatch cleavage, including the previously refractory C/C mismatch.

  synthetic k-ras endo pcr restriction

• Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.

  PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups

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  INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets

  synthetic dorsolateral brain cortex simulated visium spatial

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets

  heart cortex visual brain spatial cell-type

• Generative and integrative modeling for transcriptomics with formalin fixed paraffin embedded material.

  PMID 41029822 · PMC12486589 · Journal of translational medicine · 2025 · 8 claims · 6 setups

  Has reproduction · 67

  The negative binomial distribution best fits fRNA-seq transcript counts, with little evidence supporting zero-inflated extensions

  compendium ffpe simulated frna-seq statistical bulk integrity

• bayesReact: expression-coupled regulatory motif analysis detects microRNA activity across cancers, tissues, and at the single-cell level.

  PMID 41657247 · PMC12884093 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  bayesReact is a novel fully Bayesian generative model for inferring regulatory motif (e.g., miRNA) activity from bulk or single-cell expression data

  tcga gtex stem embryonic paired semi-synthetic single-cell

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.

  PMID 41714655 · PMC13039149 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups

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  scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.

  skin combined annotated scrna-seq single-cell spatial cell2location

• Identification of novel DNA sequence motifs that modulate transcription in T cells.

  PMID 41514212 · PMC12879379 · BMC genomics · 2026 · 8 claims · 8 setups

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  Identified 2,036 novel DNA motifs enriched in regulatory regions of T-cell-specific genes

  t-cell non-t-cell cd4+ sequences rna-seq dnase-seq h3k27ac