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).

• Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

  PMID 17486137 · PMC2673710 · Molecular systems biology · 2007 · 8 claims · 7 setups

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  Global MudPIT-based proteomic profiling across six mouse lung developmental time points (E13.5–P56) identifies thousands of proteins and captures developmental/cell-biological expression patterns.

  lung analysis embryonic homologues shotgun microarray k-nearest

• Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing.

  PMID 18438408 · PMC2705838 · Nature genetics · 2008 · 8 claims · 8 setups

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  Massively parallel paired-end sequencing can characterize somatic and germline structural rearrangements to base-pair resolution across a whole cancer genome

  nci-h2171 nci-h1770 massively genomic rt-pcr

• The cancer secretome: a reservoir of biomarkers.

  PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups

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  Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics

  a549 m-be sw480 neoplastic 2-de dige icat

• Application of proteomics methods for pathogen discovery.

  PMID 19751767 · PMC7119679 · Journal of virological methods · 2010 · 8 claims · 6 setups

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  Proteomic techniques can detect and characterize unknown infectious agents in cell culture without prior knowledge of the pathogen

  hlf sequences synthetic conventional 2d-dige gelc-ms

• Proteomics: characterizing the cogs in the machinery of life.

  PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups

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  Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.

  blood lung hemoglobin proteins seldi-tof proteome tandem

• Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

  PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups

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  Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.

  serum aqueous maldi-tof seldi-tof peak