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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Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18510725 · PMC2481497 · Breast cancer research : BCR · 2008 · 7 claims · 7 setups
Unsupervised hierarchical clustering of 130 SELDI-TOF peaks yielded six peak clusters and five distinct groups of breast cancer patients.
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Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.
PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups
SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers
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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
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.
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Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.
PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups
Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.
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Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues.
PMID 15626334 · PMC5172349 · Genomics, proteomics & bioinformatics · 2003 · 8 claims · 5 setups
Well-resolved, reproducible 2-DE profiles of human lung squamous carcinoma and normal bronchial epithelial tissues were obtained under optimized conditions (0.75-mg protein load, TCA precipitation)
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Proteomics: characterizing the cogs in the machinery of life.
PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups
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.
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The use of laser capture microscopy in proteomics research--a review.
PMID 15502248 · PMC3839334 · Disease markers · 2004 · 8 claims · 8 setups
LCM allows purification of specific, histologically defined cell populations from heterogeneous tissue for downstream proteomic analysis
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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
SELDI-TOF MS can differentiate serum protein profiles of active versus well-controlled SJIA
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Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.
PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups
An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions
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Application of ProteinChip array profiling in serum biomarker discovery for patients suffering from severe acute respiratory syndrome.
PMID 18220240 · PMC7120874 · Methods in molecular biology (Clifton, N.J.) · 2007 · 8 claims · 5 setups
SELDI-TOF-MS ProteinChip array profiling of serum can identify differentially expressed protein biomarkers in SARS-CoV infected patients versus controls.
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Proteomics as a tool for biomarker discovery.
PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups
A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention
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LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise.
PMID 17386085 · PMC1847688 · BMC bioinformatics · 2007 · 7 claims · 4 setups
LIMPIC is a computational method for detecting protein peaks from linear-mode MALDI-TOF-MS data using background noise reduction and baseline removal followed by non-uniform threshold peak detection and multi-spectra detection-rate classification.
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Glycoprotein structural genomics: solving the glycosylation problem.
PMID 17355862 · PMC1885966 · Structure (London, England : 1993) · 2007 · 8 claims · 5 setups
Transiently expressing glycoproteins in HEK293T cells with kifunensine or swainsonine allows correct folding while retaining endo H sensitivity, solving the glycosylation problem for structural genomics
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Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
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Proteomic profiling of urine identifies specific fragments of SERPINA1 and albumin as biomarkers of preeclampsia.
PMID 18984079 · PMC2679897 · American journal of obstetrics and gynecology · 2008 · 8 claims · 7 setups
Women with severe preeclampsia present a unique urinary proteomic fingerprint distinguishable from controls.
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes
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On consensus biomarker selection.
PMID 17570864 · PMC1892093 · BMC bioinformatics · 2007 · 7 claims · 2 setups
Four popular feature ranking criteria (t-statistic, mutual information, peak probability contrasts, random forest variable importance) produce different rankings of the same features on the same dataset.
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SELDI-TOF proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18644101 · PMC2481502 · Breast cancer research : BCR · 2008 · 7 claims · 3 setups
SELDI-TOF MS proteomic profiling of breast carcinomas identifies patient subgroups with differential co-expression of protein peaks that are analogous to gene-expression-based classifications (luminal, basal, HER2 subtypes)
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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
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics