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).

• Plasma proteomics of pancreatic cancer patients by multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis (2D-DIGE): up-regulation of leucine-rich alpha-2-glycoprotein in pancreatic cancer.

  PMID 17303479 · PMC7105233 · Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2007 · 5 claims · 5 setups

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  Pre-fractionation of plasma with immuno-affinity depletion and anion-exchange chromatography prior to 2D-DIGE substantially increases the number of detectable protein spots compared with unfractionated plasma.

  plasma excised fractionated 2d-dige multi-dimensional lc-ms

• The development of an integrated platform to identify breast cancer glycoproteome changes in human serum.

  PMID 19782370 · PMC4142217 · Journal of chromatography. A · 2010 · 8 claims · 6 setups

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  M-LAC (multi-lectin affinity chromatography combining Con A, WGA and Jacalin) provides comprehensive capture of glycoproteins from biological fluids based on differing glycan specificities

  pooled m-lac excised individual high-performance sds-page lectin

• A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva.

  PMID 19813771 · PMC2789208 · Journal of proteome research · 2009 · 7 claims · 7 setups

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  Coupling DRC (hexapeptide libraries) with 3D peptide fractionation (IEF + SCX + µLC-MS/MS) substantially increases the number of proteins identified in whole saliva

  saliva offgel-fractionated identified sds-page trypsin strong

• Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data.

  PMID 19704920 · PMC2688763 · Journal of biomedicine & biotechnology · 2009 · 8 claims · 3 setups

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  Kernel-based methods (e.g., SVM) can capture nonlinear dose-volume interactions relevant to predicting radiation pneumonitis

  nsclc inoperable blood retrospective prospective 3-way