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).

• Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.

  PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups

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  Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.

  serum frozen ig-depleted clinical seldi-tof maldi lc-ms

• Biomarkers of lupus nephritis determined by serial urine proteomics.

  PMID 18596723 · PMC2614389 · Kidney international · 2008 · 7 claims · 6 setups

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  SELDI-TOF-MS screening of the LMW urine proteome identifies protein ions that are differentially expressed across phases of the lupus nephritis flare cycle (baseline, pre-flare, flare, post-flare)

  low-molecular-weight lmw urine kidney seldi-tof-ms on-chip capillary

• Development of proteomic patterns for detecting lung cancer.

  PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups

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  A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls

  serum pooled seldi-tof-ms decision reproducibility

• Method of regulatory network that can explore protein regulations for disease classification.

  PMID 19962281 · PMC7126395 · Artificial intelligence in medicine · 2010 · 6 claims · 2 setups

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  A regulatory network (RN) can be constructed as a hopfield-like network, with nodes as biomarkers and directed weighted connections as regulatory relationships, optimized by minimizing an energy function measuring input-output disagreement.

  nasopharyngeal sars seldi-tof-ms

• Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.

  PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups

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  SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.

  serum seldi dlbcl pooled seldi-tof-ms proteinchip decision

• Novel approaches for mechanistic understanding and predicting preeclampsia.

  PMID 19836839 · PMC2790420 · Journal of reproductive immunology · 2009 · 8 claims · 6 setups

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  The classic two-stage hypothesis (Stage I poor placental perfusion causing Stage II maternal symptoms) needs reevaluation because reduced perfusion alone may be insufficient to cause PE.

  maternal il-10-deficient first-trimester third-trimester surgical seldi-tof genetic

• Contribution of oncoproteomics to cancer biomarker discovery.

  PMID 17407558 · PMC1852117 · Molecular cancer · 2007 · 6 claims · 8 setups

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  Oncoproteomic biomarker panels (2-DE/MS-based) show higher sensitivity and specificity than currently used single tumor markers across multiple cancer types (Table 1)

  serum bladder nipple colorectal 2-de isotope-coded immunoblotting

• 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