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

• RNASEQR--a streamlined and accurate RNA-seq sequence analysis program.

  PMID 22199257 · PMC3315322 · Nucleic acids research · 2012 · 8 claims · 7 setups

  Has reproduction · 86

  RNASEQR is a new RNA-seq mapper/aligner that combines a BWT-based (Bowtie) transcriptomic/genomic alignment with hash-based BLAT local alignment in three sequential steps: transcriptome mapping, novel exon detection, and anchor-and-align novel splice junction identification.

  ccds glioblastoma experimental simulated simulated bulk quality

• Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

  PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups

  Has reproduction · 100

  Exploratory adaptation (stochastic gene-regulatory network perturbation) explains how GBM cells adapt phenotypically across spatially distinct tumor regions

  patient-derived low-grade tf-gene single-sample bulk differential gene

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• 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

  Full-text index only

  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