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).

• Tumor cell metabolism: the marriage of molecular genetics and proteomics with cellular intermediary metabolism; proceed with caution!

  PMID 17090311 · PMC1636067 · Molecular cancer · 2006 · 8 claims · 5 setups

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  Genetic/proteomic alterations will have little relevancy to disease processes if they are not manifested in altered and impaired cellular and metabolic function

  prostate tumor malignant enzyme gene abundance

• 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

• Methods for genome-wide analysis of DNA methylation in intestinal tumors.

  PMID 19854208 · PMC2891386 · Mutation research · 2010 · 8 claims · 8 setups

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  Aberrant DNA methylation, including CpG island hypermethylation of tumor suppressors and genome-wide hypomethylation, is strongly linked to the origin and progression of colorectal cancer.

  cd19+ lung gpx1 tumor mira medip goldengate

• Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.

  PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups

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  Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.

  serum frozen ig-depleted clinical seldi-tof maldi lc-ms

• Proteomics: characterizing the cogs in the machinery of life.

  PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups

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  Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.

  blood lung hemoglobin proteins seldi-tof proteome tandem