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).

• Single-Cell Sequencing Reveals γδT Cell Heterogeneity Under Distinct Microsatellite Statuses as a Potential Biomarker for Immunotherapy and Prognosis in Colorectal Cancer.

  PMID 42074506 · PMC13116210 · Genes · 2026 · 7 claims · 8 setups

  Full-text index only

  γδT cells in colorectal cancer form five distinct subsets (C0_FCER1G, C1_IL7R, C2_CD81, C3_TOP2A, C4_CXCL13) with distinct marker genes and functional states

  crc γδt epithelial c4_cxcl13 single-cell differential pseudotime

• Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer.

  PMID 33584715 · PMC7873865 · Frontiers in immunology · 2020 · 8 claims · 8 setups

  Has reproduction · 45

  Eight distinct T cell populations can be identified from CRC tumor tissue by unsupervised clustering of scRNA-seq data

  tumor-infiltrating peripheral cd4+ tumor single-cell unsupervised pearson

• Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

  PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 74

  540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed

  breast colorectal lung common microarray kegg protein-protein

• Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

  PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups

  Has reproduction · 80

  Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC

  colorectal same combined meturquoise microarray differential batch

• Cancer-wide in silico analyses using differentially expressed genes demonstrate the functions and clinical relevance of JAG, DLL, and NOTCH.

  PMID 39074091 · PMC11285958 · PloS one · 2024 · 7 claims · 8 setups

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  JAG, DLL, and NOTCH family gene/protein expression varies diversely across 15 cancer types relative to normal tissue, sometimes discordant between mRNA and protein levels.

  tumor degs cancer jag bulk proteomics gene