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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Comparative multi-omic analysis reveals conserved and derived mechanisms of fin and limb regeneration.
PMID 41571662 · PMC12923738 · Nature communications · 2026 · 8 claims · 8 setups
Fin and limb regeneration share conserved proximal and distal blastema territory markers, DNA damage repair activation, hif1a-mediated hypoxia response, and sequential pro-/anti-inflammatory gene programs.
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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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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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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.
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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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Spatial transcriptomics demonstrates the role of CD4 T cells in effector CD8 T cell differentiation during chronic viral infection.
PMID 36450262 · PMC9792173 · Cell reports · 2022 · 8 claims · 6 setups
IL-21-producing Tfh CD4 T cells repopulate after CD4 depletion but remain at reduced frequency compared with control mice
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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes
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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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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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STAN, a computational framework for inferring spatially informed transcription factor activity.
PMID 41521668 · PMC12784991 · Nucleic acids research · 2026 · 7 claims · 7 setups
STAN, a linear mixed-effects (spatially weighted regression) model, integrates TF-target gene priors, gene expression, spatial coordinates, and histological image features to predict spot-specific TF activity in spatial transcriptomics data
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VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysis.
PMID 41507434 · PMC12891734 · Communications biology · 2026 · 8 claims · 6 setups
VISTA predicts unmeasured gene expression in subcellular spatial transcriptomic data by integrating scRNA-seq and SST through variational inference and geometric deep learning with built-in uncertainty quantification
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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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Spatial transcriptomics reveals altered communities and drivers of aberrant epithelia and pro-fibrotic fibroblasts in interstitial lung diseases.
PMID 41576947 · PMC12985369 · Cell genomics · 2026 · 7 claims · 7 setups
snRNA-seq census of 227,680 nuclei across 48 cell types reveals altered cellular states and compositional rewiring of the distal lung in ILD
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Single-cell and spatial transcriptomic profiling of cardiac fibroblasts following myocardial infarction.
PMID 41526391 · PMC12890913 · Scientific data · 2026 · 7 claims · 6 setups
Cthrc1+ Reparative Cardiac Fibroblasts (RCFs) are the primary driver of the cardiac healing process after myocardial infarction
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Tumor cell villages define the co-dependency of tumor and microenvironment in liver cancer.
PMID 41723121 · PMC12932787 · Nature communications · 2026 · 8 claims · 8 setups
Different tumor cell transcriptomic states organize into distinct spatial clusters, or 'villages', each supported by a unique surrounding microenvironment
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LIMCH1-enriched extracellular vesicles promote vascular permeability in early-onset preeclampsia.
PMID 41604492 · PMC12851021 · Science advances · 2026 · 8 claims · 8 setups
LIMCH1 is identified as an Eo-PE-associated EV protein via serum sEV proteomics combined with GEO placental transcriptome datasets
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Novel fatty acid metabolism-related molecular subtyping and prognostic signature for breast cancer.
PMID 41674979 · PMC12885896 · Translational cancer research · 2026 · 8 claims · 8 setups
A FAM-related gene prognostic model (FAMGM) built using CoxBoost and random survival forest was identified as the optimal model among 101 machine learning combinations, based on highest average C-index across TCGA-BRCA and GSE96058 cohorts
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Targeting the Lipid Metabolism Proteins FASN and GPAM in Alveolar Type II Cells Decreases Lung Metastasis.
PMID 41778850 · PMC7619144 · Cancer discovery · 2026 · 7 claims · 8 setups
AT2 cells and surfactant lipids (e.g., PC, PE, PI, PG) are enriched in the vicinity of breast cancer lung metastases in both patients and mice