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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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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Modeling substance abuse for applications in proteomics.
PMID 20058165 · PMC3272758 · Methods in molecular biology (Clifton, N.J.) · 2009 · 8 claims · 5 setups
The intravenous self-administration paradigm models the reinforcing effects of abused drugs and allows biochemical alterations to be correlated with drug reinforcement.
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Characterization of detergent-insoluble proteins in ALS indicates a causal link between nitrative stress and aggregation in pathogenesis.
PMID 19956584 · PMC2780298 · PloS one · 2009 · 8 claims · 8 setups
The Triton X-100-insoluble fraction (TIF) from spinal cord of G93A SOD1 mice is enriched in specific proteins (cytoskeletal, chaperone, mitochondrial, metabolic, signaling) compared to WT mice, already at a preclinical stage.
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Extension of type 2 diabetes genome-wide association scan results in the diabetes prevention program.
PMID 18544707 · PMC2518503 · Diabetes · 2008 · 8 claims · 4 setups
None of the selected GWAS-identified SNPs individually were associated with increased diabetes incidence in the DPP cohort
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.
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High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications.
PMID 19648524 · PMC4648268 · The European respiratory journal · 2009 · 8 claims · 8 setups
High-throughput -omics technologies have revolutionised understanding of lung cancer biology and hold promise for personalised management of lung cancer