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).

• 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

• An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.

  PMID 36548438 · PMC9822106 · PLoS computational biology · 2022 · 8 claims · 7 setups

  Has reproduction · 67

  An individualized causal analysis framework can discover tumor-specific intercellular communication networks (ICNs) from transcriptomic data

  hnscc pooled cd45+ cd8+ single-cell nhdp celda

• Single-Cell Transcriptomic Landscape of Right-Sided Colon Cancer Reveals Cellular and Molecular Features of Metastatic Potential.

  PMID 41898210 · PMC13024220 · Biomedicines · 2026 · 8 claims · 8 setups

  Has reproduction · 71

  Liver metastatic potential in RCC is marked by stem-like tumor states, metabolic plasticity, and microenvironmental remodeling.

  right-sided single integrated malignant single-cell copy dimensionality

• 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

• Cancer cells copy migratory behavior and exchange signaling networks via extracellular vesicles.

  PMID 29907695 · PMC6068466 · The EMBO journal · 2018 · 8 claims · 8 setups

  Has reproduction · 46

  B16F1 and B16F10 melanoma subclones functionally exchange EVs in vivo, transferring Cre mRNA cargo detectable via a Cre-LoxP color-switch reporter system

  co-injected b16f1 locally 16.5k intravital cre-loxp rt-pcr

• Stage-stratified molecular profiling of non-muscle-invasive bladder cancer enhances biological, clinical, and therapeutic insight.

  PMID 35028613 · PMC8714941 · Cell reports. Medicine · 2021 · 8 claims · 5 setups

  Has reproduction · 75

  Stage-stratified molecular subclassification of Ta and T1 tumors provides greater biological understanding and more clinically meaningful information than subtypes derived from all NMIBCs combined.

  stage tumors copy genome-wide whole-exome

• Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.

  PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups

  Has reproduction · 42

  PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.

  paad degs bulk consensus tumor

• Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.

  PMID 39682743 · PMC11640164 · Cells · 2024 · 7 claims · 4 setups

  Has reproduction

  Immune-activation-related T-cell populations (APA, TRM, stem-like, early/late dysfunctional T-cells) are more heavily infiltrated in ICI-responsive malignancies (melanoma, bladder) than in poorly responsive ones (ovarian, pancreatic).

  melanoma bulk survival auroc

• 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

• Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.

  PMID 34382341 · PMC8446556 · Cancer medicine · 2021 · 7 claims · 6 setups

  Has reproduction

  A 10 immune-related gene signature (BMPR1B, GHR, IL11RA, INHBB, NPR3, OBP2A, PTN, R3HDML, TAC1, TPM2) was constructed via WGCNA combined with LASSO-Cox and predicts overall survival in gastric cancer

  gastric tcga-stad microarray rna-seq immune

• Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer.

  PMID 17868458 · PMC2375029 · Genome biology · 2007 · 8 claims · 8 setups

  Full-text index only

  Co-culture of certain breast cancer cell lines with stromal fibroblasts induces interferon-response genes (IRGs) in a subset of cancer cells

  mda-mb231 epithelial breast early-stage cdna quantitative facs

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.

  solid muscle-invasive ccrcc for bulk single-cell scrna-seq

• 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