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).
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics
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Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues.
PMID 15626334 · PMC5172349 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 5 setups
Well-resolved, reproducible 2-DE profiles of human lung squamous carcinoma and normal bronchial epithelial tissues were obtained under optimized conditions (0.75-mg protein load, TCA precipitation)
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Tubulin proteomics: towards breaking the code.
PMID 18840397 · PMC4039029 · Analytical biochemistry · 2009 · 8 claims · 8 setups
Tubulin isotype and posttranslational-modification diversity constitutes a 'tubulin code' that is read by microtubule-associated proteins and translates into specific in vivo functions
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Proteomic analysis of serum in lung cancer induced by 3-methylcholanthrene.
PMID 19794824 · PMC2753780 · Journal of biomedicine & biotechnology · 2009 · 7 claims · 4 setups
141 protein spots are differentially expressed between normal rat sera and MCA-induced lung cancer rat sera (82 overexpressed, 59 underexpressed)
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Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.
PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups
Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.
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Proteomic identification of secreted proteins as surrogate markers for signal transduction inhibitor activity.
PMID 17211472 · PMC2360009 · British journal of cancer · 2007 · 5 claims · 5 setups
Inhibiting EGFR signalling with Gefitinib alters the pattern of proteins secreted by cancer cells, and these changes can serve as an indirect quantitative assay for drug action
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The field of tissue injury in the lung and airway.
PMID 19138985 · PMC2705781 · Cancer prevention research (Philadelphia, Pa.) · 2008 · 8 claims · 8 setups
Field cancerization and the field of injury reflect molecular changes (genomic, epigenomic, transcriptomic, proteomic) present in histologically normal-appearing tissue distant from and independent of a tumor, throughout the carcinogen-exposed respiratory epithelium
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DNA methylation profiling of the human major histocompatibility complex: a pilot study for the human epigenome project.
PMID 15550986 · PMC529316 · PLoS biology · 2004 · 8 claims · 3 setups
The human MHC methylation profile is strongly bimodal, with the vast majority of analysed regions being either hypo- (≤30%) or hypermethylated (≥70%)
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Proteomics: characterizing the cogs in the machinery of life.
PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups
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.
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Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.
PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups
Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.
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Crunching the bio-numbers.
PMID 14664241 · PMC1316909 · Environmental health perspectives · 2003 · 8 claims · 6 setups
The eTag Assay System rapidly identifies genes and related proteins without complex sample preparation or follow-up bioinformatics, unlike microarrays