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).

• Direct evidence of extensive diversity of HIV-1 in Kinshasa by 1960.

  PMID 18833279 · PMC3682493 · Nature · 2008 · 7 claims · 8 setups

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  Recovered and characterized HIV-1 sequences (DRC60) from a 1960 Bouin's-fixed paraffin-embedded lymph node biopsy from Léopoldville, Belgian Congo

  archival hiv-1-positive cdna concatenated rt-pcr quantitative pcr

• Relationship between the extent of chromosomal losses and the pattern of CpG methylation in gastric carcinomas.

  PMID 16224153 · PMC2779276 · Journal of Korean medical science · 2005 · 7 claims · 4 setups

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  High-level-loss (LOH-H) tumors show a tendency toward unmethylation in Maspin, CAGE, MAGE-A2, and RABGEF1 genes

  microdissected same bisulfite-modified pcr microsatellite methylation-specific bisulfite

• Proteome analysis enables separate clustering of normal breast, benign breast and breast cancer tissues.

  PMID 12865921 · PMC2394238 · British journal of cancer · 2003 · 6 claims · 3 setups

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  Hierarchical cluster analysis of 2-DE proteome data can distinguish normal breast, benign breast, and breast cancer tissues based on protein expression profiles

  breast two-dimensional hierarchical mann-whitney

• Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.

  PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 8 claims · 8 setups

  Has reproduction · 59

  Key genes AR, AKT1, UBC, CDH1, SMAD3, ROR1, and ROR2 are associated with chemotherapy resistance and poor prognosis in metastatic breast cancer

  breast tcga-brca geo gse40622 gene pan-cancer differential

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction

• Single-cell and spatial profiling highlights TB-induced myofibroblasts as drivers of lung pathology.

  PMID 41489684 · PMC12767585 · The Journal of experimental medicine · 2026 · 8 claims · 8 setups

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  MMP1+CXCL5+ fibroblasts and SPP1+ macrophages are linked to TB disease and TB lung granuloma and reveal targetable cellular cross talk underlying TB immunopathology

  lung ffpe lymph nonhuman scrna-seq spatial bulk

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• Microarray analysis: genome-scale hypothesis scanning.

  PMID 14551912 · PMC212694 · PLoS biology · 2003 · 8 claims · 5 setups

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  Microarrays can be used to both test and generate hypotheses, not merely to fish for candidate genes.

  drosophila yeast diffuse breast microarray integrated gene

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2