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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Molecular cloning, genomic characterization and over-expression of a novel gene, XRRA1, identified from human colorectal cancer cell HCT116Clone2_XRR and macaque testis.
PMID 12908878 · PMC194569 · BMC genomics · 2003 · 8 claims · 7 setups
XRRA1 is a novel gene down-regulated ~2-fold in XR-resistant HCT116 Clone2_XRR relative to HCT116 Clone10, identified via cDNA microarray
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Human methanogen diversity and incidence in healthy and diseased colonic groups using mcrA gene analysis.
PMID 18492229 · PMC2408590 · BMC microbiology · 2008 · 8 claims · 6 setups
The mcrA gene serves as a useful biomarker for methanogen detection in the human gut
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DNA methylation analysis by digital bisulfite genomic sequencing and digital MethyLight.
PMID 18628296 · PMC2504308 · Nucleic acids research · 2008 · 8 claims · 6 setups
Digital PCR compartmentalizes individual bisulfite-converted DNA template molecules into separate wells, enabling single-molecule DNA methylation analysis
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Multimodal framework for the joint analysis of single-cell RNA and T cell receptor sequencing data predicts T cell response to cancer immunotherapy.
PMID 41820396 · PMC13121706 · Nature communications · 2026 · 8 claims · 7 setups
TRIM, a conditional multi-modal variational autoencoder integrating paired scRNAseq and scTCRseq data, predicts T cell clonality and transcriptional states at unmeasured tissue sites/timepoints.
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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data