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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transFusion: a novel comprehensive platform for integration analysis of single-cell and spatial transcriptomics.
PMID 41645434 · PMC12930851 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
transFusion is a comprehensive, web-based platform for integrated analysis of scRNA-seq and 10x Visium spatial transcriptomics data requiring no parameter configuration
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Single-cell spatial transcriptomic analysis of human skin anatomy.
PMID 41872488 · PMC13083264 · Nature genetics · 2026 · 8 claims · 6 setups
MERFISH-based spatial atlas of ~1.2 million cells resolves 45 cell types across 114 samples and 15 anatomic sites in normal human skin
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Spatiotemporal dynamics of spermatogenesis: insights from high-resolution spatial transcriptomics and pseudotime trajectories in mouse testes.
PMID 41602862 · PMC12832764 · Frontiers in reproductive health · 2025 · 8 claims · 7 setups
Salus-STS (1 μm resolution) combined with the Salus Cellbins Algorithm enables accurate subcellular segmentation of individual testicular cells in dense tissue
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Dissecting the immunosuppressive microenvironment of LAMA3 + malignant cells and SPP1 + macrophages in esophageal squamous cell carcinoma using single-cell and spatial transcriptomics.
PMID 41845425 · PMC13104401 · Journal of translational medicine · 2026 · 8 claims · 8 setups
A LAMA3+ epithelial subpopulation (C3) enriched at the invasive tumor front shows strong EMT signatures and is associated with poor prognosis
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Bridging cancer cell-intrinsic driver genes and -extrinsic cell-cell communication with Driver2Comm.
PMID 41701761 · PMC12928580 · PLoS computational biology · 2026 · 8 claims · 5 setups
Driver2Comm is a computational framework that identifies intrinsic-extrinsic (IE) pathways functionally connecting cancer cell driver genes with their associated CCC signatures in the TME using single-cell transcriptomics data.
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Multimodal learning reveals plants' hidden sensory integration logic.
PMID 41714925 · PMC13032346 · BMC genomics · 2026 · 8 claims · 8 setups
CoMM-BIP (Contrastive Multi-Modal learning with Biologically Informed Priors) integrates transcriptomic, metabolomic, and phenomic data using pathway-guided attention, information-theoretic disentanglement, and domain-aware augmentations