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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A ligand-centered framework for γδ T cell activation in colorectal cancer revealed by single-cell and transformer-based perturbation.
PMID 41607803 · PMC12835328 · Frontiers in immunology · 2025 · 8 claims · 8 setups
CRC-infiltrating γδ T cells show varied activation levels, with the TRM-like population being the major tumor-infiltrating subtype and exhibiting the lowest effector and exhaustion signature scores.
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Dissecting tumor heterogeneity in colorectal cancer: uncovering the role of BCL2L1(+) cells through single-cell analysis.
PMID 41958675 · PMC13056825 · Frontiers in immunology · 2026 · 8 claims · 8 setups
scRNA-seq identifies five CRC tumor cell subtypes, with the C4 BCL2L1+ subtype predominantly enriched in liver metastases and showing enhanced proliferation, metabolic reprogramming, and anti-apoptotic activity
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pmid-42043480
PMID 42043480 · PMC13115984 · 8 claims · 8 setups
EGFRI eligibility (defined by left-sidedness, RAS/BRAF wild-type, MSS) stratifies cancer cell transcriptomic characteristics more strongly than sidedness alone.
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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis.
PMID 41839892 · PMC13201544 · Nature communications · 2026 · 8 claims · 6 setups
FineST, a bimodal contrastive learning model integrating histology (Virchow2 ViT features) and spatial gene expression, enables nuclei-resolved high-resolution RNA imputation.
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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
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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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Integrated Single Cell Spatial Analysis Reveals Dysregulated Basal Progenitor Cells in Ulcerative Colitis Pathogenesis: A Multi Omics Study.
PMID 41542331 · PMC12802566 · Health science reports · 2026 · 7 claims · 8 setups
BPC differentiation is significantly altered in UC, driven by a FABP1-led functional gene matrix