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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Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
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The proteogenomic path towards biomarker discovery.
PMID 18764911 · PMC2574627 · Pediatric transplantation · 2008 · 8 claims · 8 setups
Serum creatinine is a widely used but non-ideal biomarker for renal transplant monitoring because it lacks specificity and sensitivity for graft injury
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Pathway analysis of kidney cancer using proteomics and metabolic profiling.
PMID 17123452 · PMC1665458 · Molecular cancer · 2006 · 8 claims · 8 setups
31 proteins are differentially expressed with high statistical significance (p<0.05) in ccRCC tumor tissue compared to adjacent non-malignant kidney tissue
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Microproteomics: analysis of protein diversity in small samples.
PMID 18271009 · PMC2743962 · Mass spectrometry reviews · 2008 · 8 claims · 8 setups
Changes in gene/mRNA expression often do not correlate well with changes in protein expression, due to precursor cleavage, post-translational modification, localization, and variable protein lifetimes.
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An open-source representation for 2-DE-centric proteomics and support infrastructure for data storage and analysis.
PMID 18179696 · PMC2231339 · BMC bioinformatics · 2008 · 8 claims · 4 setups
AGML 2.0 is a comprehensive XML representation for 2-DE experiments comprising identification, protocol (MI2DG), and gel sections
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Contribution of oncoproteomics to cancer biomarker discovery.
PMID 17407558 · PMC1852117 · Molecular cancer · 2007 · 6 claims · 8 setups
Oncoproteomic biomarker panels (2-DE/MS-based) show higher sensitivity and specificity than currently used single tumor markers across multiple cancer types (Table 1)