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).

• Toxicogenomics: an emerging discipline.

  PMID 12460812 · PMC1241126 · Environmental health perspectives · 2002 · 8 claims · 6 setups

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  Toxicogenomics applies genomic tools (microarrays, proteomics, metabolomics) to characterize how cells and organisms respond to chemical/drug exposures.

  drug stated acetaminophen tissues microarray gene genomic

• The impact of new research technologies on our understanding of environmental causes of disease: the concept of clinical vulnerability.

  PMID 19948053 · PMC2793242 · Environmental health : a global access science source · 2009 · 8 claims · 8 setups

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  GWAS-identified genetic variants confer only modest relative risks (1.15-1.5), comparable in magnitude to weak/contested environmental exposures

  polish cohort nonsmokers low genome-wide biomarker epidemiological

• Genome bioinformatic analysis of nonsynonymous SNPs.

  PMID 17708757 · PMC1978506 · BMC bioinformatics · 2007 · 8 claims · 8 setups

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  Structure- and sequence-based prediction tools can generally distinguish disease-causing mutations from neutral ones

  gene modelled nssnps automated fold relative

• Toxicogenomics research consortium sails into uncharted waters.

  PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups

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  The NIEHS-funded $37 million Toxicogenomics Research Consortium (TRC) combines the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to define genetic variability, set gene expression standards, and study environmental stress responses.

  strains nervous mice liver microarray gene toxicogenomic

• A proteomic view of an important human pathogen--towards the quantification of the entire Staphylococcus aureus proteome.

  PMID 19997597 · PMC2781549 · PloS one · 2009 · 8 claims · 7 setups

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  The majority of proteins expressed in growing and non-growing S. aureus cells can be identified and quantified by a metabolic labeling proteomic approach

  aureus 2-d 1-d gelc-ms