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).

• Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients.

  PMID 19888321 · PMC2765613 · PloS one · 2009 · 8 claims · 8 setups

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  Serum S100A6 concentration correlates with peritoneal tumor burden in a mouse OVCA xenograft model, based on inverse regression calibration against bioluminescent imaging data.

  serum skov-3 pooled ovca lc-ms antigen whole-animal

• Serum protein profile in systemic-onset juvenile idiopathic arthritis differentiates response versus nonresponse to therapy.

  PMID 15987476 · PMC1175022 · Arthritis research & therapy · 2005 · 8 claims · 8 setups

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  SELDI-TOF MS can differentiate serum protein profiles of active versus well-controlled SJIA

  serum clustered pooled trypsin-digested seldi-tof cart immunoprecipitation

• 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

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

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  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• 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