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).

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

  Full-text index only

  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids

• comBO: A combined human bone and lympho-myeloid bone marrow organoid for preclinical modeling of hematopoietic disorders.

  PMID 41734765 · PMC7618947 · Cell stem cell · 2026 · 8 claims · 8 setups

  Has reproduction · 65

  comBO is a single iPSC differentiation generating lymphoid, myeloid, vascular, mesenchymal stromal, and functional osteo/adipogenic lineages within one organoid

  ipsc-derived combo combo-derived mscarlet-tagged flow single-cell confocal

• Bulk and single-cell characterisation of the immune heterogeneity of atherosclerosis identifies novel targets for immunotherapy.

  PMID 36855107 · PMC9974063 · BMC biology · 2023 · 8 claims · 8 setups

  Has reproduction · 70

  Integration of scRNA-seq datasets from human atherosclerosis samples identifies 28 distinct immune cell subpopulations with heterogeneity in tissue preference, genetics, function, immune dynamics, transcriptional regulators, metabolism, and cell communication.

  immune atherosclerotic cd4+ cd8+ scrna-seq gsea pseudotime

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq