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).

• Combining evidence of preferential gene-tissue relationships from multiple sources.

  PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 53

  A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.

  normal four microarray genes microarray computational bayes

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

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  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise

• 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

• 'Genome design' model and multicellular complexity: golden middle.

  PMID 17062620 · PMC1635334 · Nucleic acids research · 2006 · 8 claims · 8 setups

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  Intermediately expressed human genes are the longest genes genome-wide, in both coding and intronic sequence, longer than housekeeping or tissue-specific genes.

  normal genes proteins encoded oligonucleotide gene functional

• Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.

  PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups

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  Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions

  normal genome-wide same omim microarray sage computational

• Identification of candidate prostate cancer genes through comparative expression-profiling of seminal vesicle.

  PMID 18500686 · PMC2516917 · The Prostate · 2008 · 8 claims · 5 setups

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  Identified 32 genes (38 cDNAs) with an expression pattern of highest levels in seminal vesicle, lower in normal prostate, and lowest in prostate cancer

  normal prostate microarray cdna cross-tissue gene

• Distinct lncRNA transcriptional fingerprints characterize progressive stages of multiple myeloma.

  PMID 26895470 · PMC4924754 · Oncotarget · 2016 · 8 claims · 4 setups

  Has reproduction · 36

  31 lncRNAs are deregulated in plasma cell dyscrasia tumor samples compared to normal plasma cell controls (19 upregulated, 12 downregulated)

  plasma gene patients proprietary lncrna custom gene

• Qualitative Transcriptional Signature for the Pathological Diagnosis of Pancreatic Cancer.

  PMID 33173782 · PMC7538791 · Frontiers in molecular biosciences · 2020 · 8 claims · 7 setups

  Has reproduction · 71

  A 12-gene-pair (17-gene) REO-based signature discriminates PC and cancer-adjacent normal tissue from non-tumor (healthy/pancreatitis) pancreatic tissue.

  pancreatic normal pooled microarray rna-sequencing roc

• Interpretable artificial intelligence based on immunoregulation-related genes predicts prognosis and immunotherapy response in lung adenocarcinoma.

  PMID 41048340 · PMC12491262 · Frontiers in bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 71

  LUAD samples cluster into IRG-high and IRG-low groups, with the IRG-high group showing significantly better survival and greater immune cell infiltration.

  luad geo degs immunotherapy-treated bulk weighted ppi

• Fingerprinting cancer development.

  PMID 14694892 · PMC1241638 · Environmental health perspectives · 2003 · 8 claims · 6 setups

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  Protein microarrays can detect phosphoprotein fingerprints that identify early-stage cancer or monitor drug toxicity.

  prostate blood model genes microarray proteomic gene

• A big circuit model.

  PMID 12940284 · PMC1316925 · Environmental health perspectives · 2003 · 8 claims · 8 setups

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  In early prostate carcinogenesis, apoptosis signals are primarily suppressed rather than growth rate being increased.

  prostate blood model genes microarray proteomic gene

• A DNA microarray survey of gene expression in normal human tissues.

  PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups

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  Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.

  normal common computational each two-color comparative unsupervised

• Post-translational modifications of histones H3 and H4 associated with the histone methyltransferases Suv39h1 and G9a.

  PMID 18096052 · PMC2246272 · Genome biology · 2007 · 6 claims · 4 setups

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  Suv39h1 and G9a associate with previously reported methylation states (Suv39h1 with H3K9me3; G9a with H3K9me/me2)

  crude hela-suv39h1 suv39h1 normal propionylation-based double maldi-tof

• Array-based profiling of reference-independent methylation status (aPRIMES) identifies frequent promoter methylation and consecutive downregulation of ZIC2 in pediatric medulloblastoma.

  PMID 17344319 · PMC1874664 · Nucleic acids research · 2007 · 7 claims · 7 setups

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  aPRIMES is a novel array-based method that detects direct (absolute) methylation status of CGIs via competitive hybridization of McrBC-digested (methylated) versus HpaII/BstUI-digested (unmethylated) DNA from the same genome, avoiding reference-tissue and copy-number biases

  pediatric tumor eight desmoplastic aprimes bisulfite quantitative

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 7 claims · 6 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified across three independent GEO datasets in EOC vs normal ovarian tissue.

  eoc overlapping tcga microarray kegg protein-protein

• Sources of variability and effect of experimental approach on expression profiling data interpretation.

  PMID 11936955 · PMC65691 · BMC bioinformatics · 2002 · 8 claims · 7 setups

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  Intra-patient tissue heterogeneity (different regions of the same biopsy) is often the greatest source of variability in expression profiling

  skeletal muscle spleen myogenic affymetrix duplicate unsupervised

• Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.

  PMID 23326238 · PMC3542081 · PLoS genetics · 2013 · 8 claims · 8 setups

  Has reproduction · 49

  B-cell non-Hodgkin lymphomas display striking intra-tumor (intra-sample) and inter-patient (inter-sample) cytosine methylation heterogeneity that increases progressively with disease aggressiveness (NBC<NGC<FL<GCB<ABC).

  dlbcl normal same lymphoma help errbs massarray

• Pathway analysis of kidney cancer using proteomics and metabolic profiling.

  PMID 17123452 · PMC1665458 · Molecular cancer · 2006 · 8 claims · 8 setups

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  31 proteins are differentially expressed with high statistical significance (p<0.05) in ccRCC tumor tissue compared to adjacent non-malignant kidney tissue

  ccrcc rcc computational random gel immunoblotting immunohistochemistry

• miRNAMap 2.0: genomic maps of microRNAs in metazoan genomes.

  PMID 18029362 · PMC2238982 · Nucleic acids research · 2008 · 8 claims · 6 setups

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  miRNAMap 2.0 is a resource collecting experimentally verified miRNAs and experimentally verified miRNA target genes in human, mouse, rat and other metazoan genomes

  major tissues conserved predicted quantitative bead-based microarray

• Interpretation of genomic data: questions and answers.

  PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups

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  The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.

  genetically wound tumor breast gene expression comparative