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).

• Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.

  PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups

  Has reproduction · 73

  N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort

  breast paired embryonic hesc-derived bulk rt-qpcr immunofluorescence

• 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

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.

  PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups

  Has reproduction · 85

  Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront

  normal er+ epithelial malignant single-cell spatial copy

• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups

  Has reproduction · 84

  DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks

  tcga breast metabric brca bulk mirna methylation