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).

• Integrated multiomic analysis reveals disulfidptosis subtypes in glioblastoma: implications for immunotherapy, targeted therapy, and chemotherapy.

  PMID 38504986 · PMC10950096 · Frontiers in immunology · 2024 · 8 claims · 8 setups

  Has reproduction · 73

  Consensus clustering on 32 disulfidptosis-associated genes stratifies GBM patients into two subtypes, DRGcluster A and B, with distinct survival outcomes.

  fresh tcga gbm bulk rna-seq consensus

• The relationship between PLOD1 expression level and glioma prognosis investigated using public databases.

  PMID 34040895 · PMC8127981 · PeerJ · 2021 · 8 claims · 8 setups

  Has reproduction · 79

  PLOD1 mRNA expression is significantly higher in glioma tissue than in normal brain tissue

  glioma gbm cancer gene online genomic

• Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.

  PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups

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  MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework

  bulk single-cell tcga glioma gsva aucell machine

• A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.

  PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups

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  CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts

  tcga-gbm glioma meta consensus wgcna machine

• Identifying clinically relevant cell state interactions in the tumor microenvironment of IDH-mutant gliomas using CSI-TME.

  PMID 41807578 · PMC13230996 · Molecular systems biology · 2026 · 7 claims · 8 setups

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  CSI-TME is a computational pipeline that deconvolves bulk tumor RNA-seq into cell-type-specific expression (via CODEFACS), infers transcriptional states per cell type via ICA, and identifies IC pairs from two cell types whose joint activity is associated with survival via Cox regression

  idh-mutant tcga cgga deconvolved scrna-seq bulk independent

• Multimodal-based analysis of single-cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulations.

  PMID 41530870 · PMC12888741 · Genome medicine · 2026 · 8 claims · 8 setups

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  MAAS integrates chromatin accessibility, CNVs, and SNVs from scATAC-seq data to identify functional tumor cell subpopulations

  tumor pediatric b-cell glioblastoma scatac-seq bulk gene