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).
-
Full-text index only
Identification of novel proteins affected by rotenone in mitochondria of dopaminergic cells.
PMID 17705834 · PMC2000881 · BMC neuroscience · 2007 · 6 claims · 5 setups
SILAC-based quantitative proteomics combined with SDS-PAGE and LC-MS/MS can identify and quantify mitochondrial protein abundance changes in dopaminergic MES cells exposed to rotenone vs. control
-
Full-text index only
The impact of peptide abundance and dynamic range on stable-isotope-based quantitative proteomic analyses.
PMID 18798661 · PMC2746028 · Journal of proteome research · 2008 · 8 claims · 7 setups
Over half of confidently identified peptides in complex mixtures have S/N ratios below 10 on both FT-ICR and Orbitrap instruments
-
Full-text index only
Proteomics-based identification of novel factor inhibiting hypoxia-inducible factor (FIH) substrates indicates widespread asparaginyl hydroxylation of ankyrin repeat domain-containing proteins.
PMID 18936059 · PMC2649815 · Molecular & cellular proteomics : MCP · 2009 · 8 claims · 5 setups
DMOG pretreatment acts as a pharmacological 'substrate trap' that stabilizes transient FIH-substrate interactions, enabling their identification by SILAC-based proteomics
-
Full-text index only
Identification of beta-secretase (BACE1) substrates using quantitative proteomics.
PMID 20041192 · PMC2793532 · PloS one · 2009 · 7 claims · 5 setups
Quantitative proteomics of conditioned medium from BACE1-overexpressing HEK and HeLa cells identified 68 putative β-secretase substrates
-
Full-text index only
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