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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Evaluation of strong cation exchange versus isoelectric focusing of peptides for multidimensional liquid chromatography-tandem mass spectrometry.
PMID 18939861 · PMC2669493 · Journal of proteome research · 2008 · 8 claims · 5 setups
IEF provides superior reproducibility and resolution of peptide fractionation compared to SCX, for both large (100 µg) and small (10 µg) protein inputs
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A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva.
PMID 19813771 · PMC2789208 · Journal of proteome research · 2009 · 7 claims · 7 setups
Coupling DRC (hexapeptide libraries) with 3D peptide fractionation (IEF + SCX + µLC-MS/MS) substantially increases the number of proteins identified in whole saliva
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Has reproduction · 50
The HCV Envelope Glycoprotein Down-Modulates NF-κB Signalling and Associates With Stimulation of the Host Endoplasmic Reticulum Stress Pathway.
PMID 35371105 · PMC8964954 · Frontiers in immunology · 2022 · 8 claims · 8 setups
HCV E1E2 glycoproteins, and more so E2, down-modulate HIV-1 LTR activation in 293T, TZM-bl and Huh7 cells
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Nitrosothiol reactivity profiling identifies S-nitrosylated proteins with unexpected stability.
PMID 19101475 · PMC2628636 · Chemistry & biology · 2008 · 8 claims · 7 setups
Most protein nitrosothiols are rapidly denitrosylated by physiological GSH, but a small subset show markedly reduced GSH reactivity and remain stably S-nitrosylated
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.