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).

• Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts.

  PMID 19835606 · PMC2784330 · Genome biology · 2009 · 7 claims · 2 setups

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  Hybrid selection of cDNA dramatically increases the specificity of sequencing reads mapping to targeted cancer-related transcripts.

  k-562 targeted sanger

• Next-generation sequencing.

  PMID 20030863 · PMC2797692 · Breast cancer research : BCR · 2009 · 8 claims · 7 setups

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  Massively parallel sequencing can simultaneously capture base-pair mutations, copy number aberrations and somatic rearrangements of a cancer genome in a single experiment

  individuals metastatic acute oestrogen whole-exome whole-genome large-scale

• TNF-⍺-mediated myeloid-instructed CD14(+)CD4(+) T cells are associated with poor survival in lung adenocarcinoma.

  PMID 41666923 · PMC12923953 · Cell reports. Medicine · 2026 · 8 claims · 5 setups

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  Tumors stratify into lymphoid-enriched, myeloid-enriched, and mixed immune-infiltrated subtypes independent of oncogenic driver status

  resected luad cd4+ multiplex spatial image

• Correcting scale distortion in RNA sequencing data.

  PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)

  tcga su2c gse47774 gtex bulk computational d'agostino

• 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

• CD70 (TNFSF7) is expressed at high prevalence in renal cell carcinomas and is rapidly internalised on antibody binding.

  PMID 16892042 · PMC2360640 · British journal of cancer · 2006 · 6 claims · 6 setups

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  CD70 was identified by proteomic analysis of plasma membrane preparations as highly expressed in A498 and SW839 RCC-derived cell lines

  a498 frozen normal proteomics flow immunohistochemistry

• KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.

  PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups

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  KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.

  diffuse-type liver renal anaplastic differential proteomic proteomics

• Molecular genetic analysis of the cytochrome P450-debrisoquine hydroxylase locus and association with cancer susceptibility.

  PMID 1486838 · PMC1519624 · Environmental health perspectives · 1992 · 7 claims · 8 setups

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  A PCR-RFLP DNA-based assay targeting the intron 3/exon 4 G-to-A transition can identify approximately 70-80% of CYP2D6 poor metabolizers (PMs) without drug phenotyping.

  blood pcr-rflp

• Comparing protein abundance and mRNA expression levels on a genomic scale.

  PMID 12952525 · PMC193646 · Genome biology · 2003 · 8 claims · 8 setups

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  Correlations between mRNA expression and protein abundance are generally poor or limited across most studies reviewed, including in yeast and human cancers

  yeast laser-dissected serum myeloid two-dimensional seldi-tof isotope-coded

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray