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).

• Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.

  PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 7 claims · 5 setups

  Has reproduction · 53

  A computational framework integrating independently measured CNV (DNA sequencing) and single-cell RNA-seq from the same patients identifies recurrent concordant copy number gain and gene upregulation (CNG-UP) events and functional modules at the single-cell level.

  metastatic top breast tnbc single-cell functional mutational

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 7 setups

  Has reproduction · 72

  edgeR identifies 9 DEGs associated with pCR and 13 DEGs associated with relapse from 579 immune genes in a small TNBC sample set (n=55)

  ffpe same nanostring training nanostring immunohistochemistry differential

• GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data.

  PMID 31110304 · PMC6527554 · Scientific reports · 2019 · 8 claims · 7 setups

  Has reproduction · 73

  GREIN is a web application providing user-friendly interfaces to manipulate, visualize, and analyze GEO RNA-seq data.

  mcf10a nde&dt hypoxia bulk correlation pca

• Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.

  PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups

  Has reproduction · 54

  Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes

  breast epcam+cd45-cd8a-cd4-cd19-cd3e cancer identified single-cell differential crispr-cas9

• 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

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs

  afb1 breast training candidate computational bulk weighted