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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Comparative genomics and experimental promoter analysis reveal functional liver-specific elements in mammalian hepatic lipase genes.
PMID 17428321 · PMC1853088 · BMC genomics · 2007 · 8 claims · 7 setups
Cis-regulatory elements responsible for liver-specific HL expression are conserved among mammalian HL genes
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Identification of a novel spliced variant of the SYT gene expressed in normal tissues and in synovial sarcoma.
PMID 11308259 · PMC2363857 · British journal of cancer · 2001 · 8 claims · 8 setups
Two forms of SYT mRNA, N-SYT and a novel form I-SYT, are co-expressed in normal human tissues and in synovial sarcomas
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Has reproduction · 100
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs.
PMID 38594607 · PMC11003151 · Genetics, selection, evolution : GSE · 2024 · 8 claims · 8 setups
H3K27ac ChIP-seq and RNA-seq were used to construct eRNA expression profiles across multiple tissues in Enshi Black (ES) and Duroc pigs, revealing tissue-level eRNA regulatory landscapes
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RAPseq enables large-scale identification of RBP-RNA interactions and reveals essentials of post-transcriptional gene regulation.
PMID 41755635 · PMC12956339 · Nucleic acids research · 2026 · 7 claims · 8 setups
RAPseq is a novel in vitro, antibody-free and cross-linking-free method that profiles RBP binding to native cellular RNA transcriptome-wide using recombinant Halo-tagged RBPs and affinity purification followed by sequencing.
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Shaken not stirred: a global research cocktail served in Hinxton.
PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups
Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process