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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Spatial transcriptomics identifies differentiation, lipid metabolism, and retinoid pathway alterations in acne vulgaris.
PMID 41657309 · PMC12892907 · JCI insight · 2026 · 8 claims · 6 setups
A custom KRT5-directed segmentation pipeline improves transcript assignment accuracy in the spatially complex sebaceous gland compared with standard multimodal or nuclei-expansion segmentation
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RESCUE: recovery of unattributed expression patterns in spatial transcriptomics.
PMID 41963343 · PMC13247165 · Nature communications · 2026 · 8 claims · 5 setups
Existing ST analysis methods (segmentation, deconvolution) systematically omit or mislabel a substantial portion of true molecular expression
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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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Spatial transcriptomics reveals expression gradients in developing wheat inflorescences at cellular resolution.
PMID 41388990 · PMC12776951 · The Plant cell · 2026 · 8 claims · 6 setups
MERFISH was successfully optimized for wheat inflorescence tissue, enabling localization of a 200-gene panel to cellular resolution across 4 developmental stages
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Spatial Transcriptomics of Human Decidua Identifies Molecular Signatures in Recurrent Pregnancy Loss.
PMID 41031483 · PMC13242933 · Genomics, proteomics & bioinformatics · 2026 · 7 claims · 8 setups
The human decidua contains two coherent spatial domains, the implantation zone (IZ) and glandular-secretory zone (GZ), corresponding to the decidua compacta and spongiosa
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Has reproduction · 100
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.
PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups
S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.
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A Transcriptional Map of Human Tonsil Architecture: Beyond the Sum of (Single Cell) Parts.
PMID 41518352 · PMC12790319 · European journal of immunology · 2026 · 8 claims · 5 setups
Imaging-based spatial transcriptomics (CosMx SMI) captures tissue complexity and cellular composition more faithfully than scRNA-seq
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InSituPREP enables 3D single-cell mapping of interaction-associated gene programs in the breast cancer tumor microenvironment.
PMID 42109251 · PMC13158666 · Nucleic acids research · 2026 · 8 claims · 6 setups
InSituPREP is a computational framework that quantifies proximity-associated gene programs across multiple analytical layers (binary contacts, graded distance, density, triplets, RNA velocity) in 3D single-cell spatial data
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Has reproduction · 85
An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.
PMID 42147490 · PMC13179517 · Cell press blue · 2026 · 8 claims · 8 setups
Fibroblasts act as central regulators of structural immunity in the human oral cavity, forming peri-epithelial hubs enriched in effector cytokines
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Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.
PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups
CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data
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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides
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Has reproduction · 31
Gene Regulatory Interactions at Lamina-Associated Domains.
PMID 36833261 · PMC9957430 · Genes · 2023 · 8 claims · 8 setups
Active genes in constitutive LADs (cLADs) reside in euchromatic regions with low LMNB1 and LMNA/C enrichment, i.e., are locally detached from the nuclear lamina