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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Identification of 491 proteins in the tear fluid proteome reveals a large number of proteases and protease inhibitors.
PMID 16901338 · PMC1779605 · Genome biology · 2006 · 8 claims · 4 setups
491 proteins were identified in human tear fluid using in-gel digestion and LC-MS/MS/MS3 on LTQ-FT and LTQ-Orbitrap instruments
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Investigation of the human tear film proteome using multiple proteomic approaches.
PMID 18334958 · PMC2268847 · Molecular vision · 2008 · 8 claims · 6 setups
Tear collection method (capillary vs. Schirmer strip) significantly impacts which proteins are detected in the tear film proteome.
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A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva.
PMID 19813771 · PMC2789208 · Journal of proteome research · 2009 · 7 claims · 7 setups
Coupling DRC (hexapeptide libraries) with 3D peptide fractionation (IEF + SCX + µLC-MS/MS) substantially increases the number of proteins identified in whole saliva
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Proteomic characterization of plasma-derived clotting factor VIII-von Willebrand factor concentrates.
PMID 19768705 · PMC3030255 · Electrophoresis · 2009 · 8 claims · 8 setups
Commercial plasma-derived FVIII/VWF concentrates contain significant amounts of non-FVIII/VWF plasma proteins as impurities
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A proteomic approach for plasma biomarker discovery with iTRAQ labelling and OFFGEL fractionation.
PMID 19888438 · PMC2771280 · Journal of biomedicine & biotechnology · 2010 · 6 claims · 6 setups
iTRAQ labelling combined with OFFGEL fractionation improves proteome coverage of human plasma compared to iTRAQ alone or no iTRAQ
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Biotin tagging coupled with amino acid-coded mass tagging for efficient and precise screening of interaction proteome in mammalian cells.
PMID 19834888 · PMC4302342 · Proteomics · 2009 · 7 claims · 7 setups
BioCAT (biotin tagging + AACT) enables highly sensitive and accurate single-step screening of mammalian protein-protein interactions without establishing a stable cell line