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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Has reproduction · 64
Comparative profiling of skeletal muscle models reveals heterogeneity of transcriptome and metabolism.
PMID 31825657 · PMC7099524 · American journal of physiology. Cell physiology · 2020 · 8 claims · 8 setups
L6, C2C12, and primary human myotubes show substantial heterogeneity in transcriptomic and metabolic profiles
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Activation instead of blocking mesolimbic dopaminergic reward circuitry is a preferred modality in the long term treatment of reward deficiency syndrome (RDS): a commentary.
PMID 19014506 · PMC2615745 · Theoretical biology & medical modelling · 2008 · 8 claims · 6 setups
A biphasic treatment approach—acute DA receptor blocking followed by long-term DA release/activation at the NAc—is needed to treat RDS without inducing abnormal mood or craving.
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CYCLONET--an integrated database on cell cycle regulation and carcinogenesis.
PMID 17202170 · PMC1899094 · Nucleic acids research · 2007 · 7 claims · 4 setups
Cyclonet is a web-based integrated database combining 'omics' and chemoinformatics data on mammalian cell cycle regulation in normal and pathological (cancer) states, built on a systems biology approach.
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Has reproduction · 89
What's Genetic Variation Got to Do with It? Starvation-Induced Self-Fertilization Enhances Survival in Paramecium.
PMID 32163147 · PMC7239694 · Genome biology and evolution · 2020 · 8 claims · 5 setups
Self-fertilization enhances heat shock resistance in P. tetraurelia in the absence of new genetic variation
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An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.
PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups
A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.