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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Multidimensional proteomics analysis of amniotic fluid to provide insight into the mechanisms of idiopathic preterm birth.
PMID 18431506 · PMC2315798 · PloS one · 2008 · 7 claims · 7 setups
A novel 5-peak SELDI proteomic signature (Q-profile) in the 10-12.5 kDa mass range identifies a subgroup of women at risk for preterm birth without intra-amniotic inflammation or bleeding.
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Application of serum SELDI proteomic patterns in diagnosis of lung cancer.
PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups
A five-protein-peak SELDI decision-tree pattern (11493, 6429, 8245, 5335, 2538 Da) distinguishes lung cancer sera from healthy control sera with relatively high sensitivity and specificity
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Logical Analysis of Data (LAD) model for the early diagnosis of acute ischemic stroke.
PMID 18616825 · PMC2492849 · BMC medical informatics and decision making · 2008 · 7 claims · 5 setups
An LAD classification model built from a support-set of 3 peptide peaks can distinguish stroke patients from controls with 75% accuracy on an independent validation set
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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
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Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.
PMID 19740432 · PMC2753349 · Journal of experimental & clinical cancer research : CR · 2009 · 7 claims · 4 setups
A 5-peak prognosis pattern (4474, 4542, 6443/6643, 4988, 6685 Da) predicts poor vs good prognosis in GC with higher sensitivity/specificity than CEA and TNM stage
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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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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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Identification of biomarkers from mass spectrometry data using a "common" peak approach.
PMID 16869977 · PMC1550264 · BMC bioinformatics · 2006 · 8 claims · 1 setups
"Common" peaks—those exhibited by many subjects—can be identified and used as biomarkers in high-dimensional mass spectrometry data
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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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Identification of serum biomarkers for colon cancer by proteomic analysis.
PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups
Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.
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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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Measurement reproducibility in the early stages of biomarker development.
PMID 15665389 · PMC3839328 · Disease markers · 2004 · 6 claims · 3 setups
Functional PCA can be used as the basis for gauge R&R (repeatability and reproducibility) assessment of mass spectra without prior identification of which spectral features are biomarkers
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Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.
PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups
The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort
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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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Preclinical and post-treatment changes in the HCC-associated serum proteome.
PMID 17060939 · PMC2360589 · British journal of cancer · 2006 · 7 claims · 6 setups
SELDI proteomic profiling of serum reveals consistent, statistically significant changes associated with the development of HCC in hepatitis C patients
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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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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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The current state of proteomics in GI oncology.
PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups
More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology
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Characterization of the placental macrophage secretome: implications for antiviral activity.
PMID 19070362 · PMC2947718 · Placenta · 2009 · 7 claims · 5 setups
PM and MDM secrete different soluble proteins, some of which may contribute to decreased HIV-1 replication in PM
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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