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).
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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
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.
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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High-throughput genomic technology in research and clinical management of breast cancer. Plasma-based proteomics in early detection and therapy.
PMID 17184556 · PMC1797031 · Breast cancer research : BCR · 2006 · 8 claims · 8 setups
Plasma is well suited to proteomic biomarker discovery because it is easily obtained, routinely used diagnostically, and has a rich proteome.
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Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer.
PMID 18615426 · PMC2992687 · Proteomics · 2008 · 8 claims · 6 setups
RPPA-measured CA19-9 levels correlate strongly with ELISA-measured levels in the same patient samples
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HIV-1 evolution following transmission to an HLA-B*5801-positive patient.
PMID 19909081 · PMC2779566 · The Journal of infectious diseases · 2009 · 8 claims · 8 setups
Multiple escape mutations developed rapidly in HLA-B*5801-restricted epitopes in Gag, Nef, and Pol following transmission
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Biomarker discovery in neurodegenerative diseases: a proteomic approach.
PMID 18938247 · PMC2939006 · Neurobiology of disease · 2009 · 6 claims · 8 setups
Proteomic profiling of CSF and plasma can identify candidate protein biomarkers that distinguish AD patients from controls with high sensitivity and specificity
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Contributions of proteomics to understanding phagosome maturation.
PMID 18331591 · PMC2613258 · Cellular microbiology · 2008 · 8 claims · 8 setups
Proteomic studies across many species have identified hundreds of proteins associated with phagosomes, revealing conserved functional classes (vATPase subunits, GTPases, hydrolases, SNAREs, Rabs, cytoskeletal proteins).
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Placental proteomics: a shortcut to biological insight.
PMID 19070895 · PMC3532024 · Placenta · 2009 · 7 claims · 5 setups
Developed a novel small cationic colloidal silica (smCCS) method to uniformly enrich the apical plasma membrane of the syncytiotrophoblast (STB) for proteomics analysis
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Determinants of human immunodeficiency virus type 1 escape from the primary CD8+ cytotoxic T lymphocyte response.
PMID 15545352 · PMC2211924 · The Journal of experimental medicine · 2004 · 7 claims · 4 setups
CD8+ CTL responses contribute to containment of viral replication in acute/early HIV-1 infection, and HIV-1 rapidly selects escape variants within epitope-containing regions beginning within weeks of infection.
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Synaptic proteins linked to HIV-1 infection and immunoproteasome induction: proteomic analysis of human synaptosomes.
PMID 19693676 · PMC2824116 · Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2010 · 8 claims · 7 setups
Proteomic screening of human synaptosomes identifies a set of proteins differentially expressed in HIV/AIDS brain
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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays