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 maps host-gut microbiome biogeography at high resolution.
PMID 41792309 · PMC13171632 · Nature microbiology · 2026 · 7 claims · 6 setups
Enzymatic in situ polyadenylation increases bacterial RNA recovery in oligo(dT)-based spatial transcriptomics arrays by up to ~100-fold while preserving host gene capture
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Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development.
PMID 41493197 · PMC13110159 · Plant biotechnology journal · 2026 · 8 claims · 5 setups
An optimised Visium spatial transcriptomics protocol (two-step OCT embedding combined with OCT-Immersion First cryopreservation) preserves high-integrity RNA from fragile plant tissues such as SAM
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PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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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.
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Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.
PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups
No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms
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Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data.
PMID 41714655 · PMC13039149 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups
scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.