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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A differential single-cell transcriptome atlas of left-sided and right-sided colorectal cancer.
PMID 41844817 · PMC13111741 · Discover oncology · 2026 · 8 claims · 8 setups
MTRNR2L8 is markedly upregulated in RCRC tumor cells and is associated with poorer patient survival
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Has reproduction · 74
Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.
PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups
540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed
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Screening for microsatellite instability identifies frequent 3'-untranslated region mutation of the RB1-inducible coiled-coil 1 gene in colon tumors.
PMID 19888451 · PMC2766054 · PloS one · 2009 · 7 claims · 4 setups
Somatic mutation frequency (%MSI) of 3'UTR microsatellites in MSI-H colorectal tumors correlates significantly with microsatellite length (r=0.86, p=7.2×10−13), following an exponential growth model.
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Oncogene mutations, copy number gains and mutant allele specific imbalance (MASI) frequently occur together in tumor cells.
PMID 19826477 · PMC2757721 · PloS one · 2009 · 8 claims · 8 setups
Homozygous mutations of oncogenes are frequent (20%) across 833 cancer cell lines of 12 tumor types in the Sanger database
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metaFun: An analysis pipeline for metagenomic big data with fast and unified functional searches.
PMID 41530917 · PMC12818822 · Gut microbes · 2026 · 8 claims · 8 setups
metaFun is an open-source, end-to-end Nextflow/Apptainer pipeline integrating quality control, taxonomic profiling, functional profiling, de novo assembly, binning, genome assessment, comparative genomics, network analysis, and strain-level microdiversity analysis into a unified framework
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HRCHY-CytoCommunity identifies hierarchical tissue organization in cell-type spatial maps.
PMID 41764165 · PMC13065825 · Nature communications · 2026 · 8 claims · 5 setups
HRCHY-CytoCommunity is an end-to-end graph neural network framework that jointly identifies multi-level (coarse tissue compartment and fine cellular neighborhood) tissue structures from cell-type spatial maps using differentiable graph pooling, adaptive edge pruning, and consistency/balance regularization.