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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Mitochondrial localization and function of a subset of 22q11 deletion syndrome candidate genes.
PMID 18775783 · PMC2729512 · Molecular and cellular neurosciences · 2008 · 8 claims · 8 setups
Six 22q11 genes (Mrpl40, Prodh, Slc25a1, Txnrd2, T10, Zdhhc8) encode proteins that localize to mitochondria, including neuronal/synaptic mitochondria.
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Large-scale analysis of Macaca fascicularis transcripts and inference of genetic divergence between M. fascicularis and M. mulatta.
PMID 18294402 · PMC2287170 · BMC genomics · 2008 · 8 claims · 6 setups
Constructed full-length-enriched cDNA libraries and determined 85,721 EST sequences and 9407 full-insert sequences from cynomolgus macaque brain (7 regions), testis, and liver
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Positive selection for the male functionality of a co-retroposed gene in the hominoids.
PMID 19832993 · PMC2773790 · BMC evolutionary biology · 2009 · 8 claims · 8 setups
PIPSL is an extraordinary co-retroposed protein-coding gene that may participate in male-specific functions of humans and close relatives
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Identification of cis-regulatory elements provides insights into tissue-specific gene regulation in the sheep genome.
PMID 41839849 · PMC12992920 · Nature communications · 2026 · 8 claims · 8 setups
274,682 enhancers and 25,975 promoters were characterized across 24 tissues from an adult female sheep using ChIP-seq, ATAC-seq, CAGE-seq, RRBS, WGBS, and RNA-seq.
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Accurate detection of somatic single-nucleotide variants from bulk RNA-seq data using RNA-MosaicHunter.
PMID 41505106 · PMC12781890 · Nucleic acids research · 2026 · 6 claims · 8 setups
RNA-MosaicHunter accurately detects sSNVs from bulk RNA-seq with high precision (94.7% in TCGA, 99.3% in cell-line mixture) in default mode
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Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.
PMID 41731547 · PMC13037183 · BMC medicine · 2026 · 8 claims · 5 setups
Unsupervised ML analysis of ALS transcriptomes consistently identifies molecular subtypes reflecting distinct biological processes, primarily oxidative stress (ALS-Ox) and glial activation/neuroinflammation (ALS-Glia), found in every study reviewed.