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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Brain-specific proteins decline in the cerebrospinal fluid of humans with Huntington disease.
PMID 18984577 · PMC2649809 · Molecular & cellular proteomics : MCP · 2009 · 8 claims · 6 setups
Brain-specific proteins are 1.8 times more likely to be observed in CSF than in plasma
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Has reproduction · 50
Loss of mutual protection between human osteoclasts and chondrocytes in damaged joints initiates osteoclast-mediated cartilage degradation by MMPs.
PMID 34811438 · PMC8608887 · Scientific reports · 2021 · 6 claims · 8 setups
Human osteoclasts can differentiate on acellular cartilage, express osteoclast markers, and degrade cartilage matrix in a contact-dependent manner without forming F-actin rings or resorption pits.
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A distinct epigenetic signature at targets of a leukemia protein.
PMID 17266773 · PMC1796549 · BMC genomics · 2007 · 7 claims · 7 setups
Combining gene expression microarray analysis with bioinformatic search for AML1-consensus sequences identifies direct AML1 targets that expression analysis alone cannot resolve
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Has reproduction · 90
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics.
PMID 37012480 · PMC10172113 · Nature methods · 2023 · 8 claims · 5 setups
pSCoPE (prioritized precursor selection via MaxQuant.Live) increases sensitivity, data completeness, and proteome coverage more than twofold over shotgun single-cell proteomics
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Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.
PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups
A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk