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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A quantitative proteomic approach for identification of potential biomarkers in hepatocellular carcinoma.
PMID 18715028 · PMC3769105 · Journal of proteome research · 2008 · 8 claims · 3 setups
iTRAQ-based quantitative LC-MS/MS proteomics can identify and quantitate differentially expressed proteins between HCC tumor and adjacent noncancerous liver tissue
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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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Proteomic interrogation of androgen action in prostate cancer cells reveals roles of aminoacyl tRNA synthetases.
PMID 19763266 · PMC2740864 · PloS one · 2009 · 8 claims · 8 setups
Androgen treatment alters the whole-cell proteome of LNCaP prostate cancer cells
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iTRAQ-based proteomics profiling reveals increased metabolic activity and cellular cross-talk in angiogenic compared with invasive glioblastoma phenotype.
PMID 19674965 · PMC2773724 · Molecular & cellular proteomics : MCP · 2009 · 6 claims · 5 setups
Serial transplantation of human GBM xenografts in nude rats converts an initially highly infiltrative, non-angiogenic phenotype into a highly angiogenic phenotype over 4-6 generations.
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Quantitative phosphoproteomics by mass spectrometry: past, present, and future.
PMID 18846511 · PMC2701620 · Proteomics · 2008 · 8 claims · 6 setups
Selective enrichment of phosphopeptides (antiphosphotyrosine IP, IMAC, TiO2/MOAC, SCX, chemical tagging) is required to detect substoichiometric, transient phosphorylation events by MS
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The use of neuroproteomics in drug abuse research.
PMID 19926406 · PMC3947580 · Drug and alcohol dependence · 2010 · 8 claims · 8 setups
Neuroproteomic technologies (2D-DIGE, iTRAQ, ICAT, etc.) enable identification of protein-level changes underlying effects of drugs of abuse such as amphetamine, morphine, cocaine, and alcohol.
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Use of proteomics for validation of the isolation process of clotting factor IX from human plasma.
PMID 19819359 · PMC2818390 · Journal of proteomics · 2010 · 8 claims · 8 setups
Proteomic techniques (LC-MS/MS, iTRAQ, immunochemical/biochemical methods) can monitor and validate each production step of pd F IX isolation
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Evolution of organelle-associated protein profiling.
PMID 19110081 · PMC2680700 · Journal of proteomics · 2009 · 8 claims · 8 setups
Traditional biochemical organelle isolation followed by MS cataloguing suffers high false-positive rates because organelles cannot be purified to homogeneity and are structurally heterogeneous
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Endurance exercise as a countermeasure for aging.
PMID 18716044 · PMC2570389 · Diabetes · 2008 · 8 claims · 8 setups
Reduced insulin sensitivity with age is likely related to adiposity and physical inactivity rather than being an inevitable consequence of aging.
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Comparing cellular proteomes by mass spectrometry.
PMID 19886975 · PMC2784314 · Genome biology · 2009 · 8 claims · 6 setups
MS-based proteomics combined with cryo-electron tomography (CET) enables determination of absolute and relative protein abundances and localization
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Proteomic approaches for studying alcoholism and alcohol-induced organ damage.
PMID 23584750 · PMC3860448 · Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2008 · 8 claims · 7 setups
Chronic alcohol abuse produces persistent changes in brain function (tolerance, dependence, craving) likely resulting from alterations in gene and protein expression
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Proteomics technologies and challenges.
PMID 17893073 · PMC5054093 · Genomics, proteomics & bioinformatics · 2007 · 8 claims · 8 setups
The proteome reflects the dynamic state of a cell, tissue, or organism more accurately than the genome, so proteomics is expected to yield better disease markers for diagnosis and therapy monitoring.