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).

• 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

  Stochastic exploration of the gene-regulatory network structure confers enhanced adaptive capacity, enabling GBM cells to converge to new target phenotypes in novel environments.

  gbm glioma gbm-focused glioma-related transcriptomic differential gene-regulatory

• 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

• Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma.

  PMID 38433919 · PMC10905000 · iScience · 2024 · 8 claims · 8 setups

  Has reproduction · 100

  The four proposed GBM molecular subtypes (Proneural, Neural, Classical, Mesenchymal / NPC-like, OPC-like, AC-like, MES-like) are not mutually exclusive or independent of one another

  scrna-seq tcga-gbm gse131928 tumor gene pairwise principal

• 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

• 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