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 and Spatial Transcriptomics Reveal That TXNIP and BIRC3 Contribute to Human Prostate Tumor Progression.
PMID 41972735 · PMC13072731 · Cells · 2026 · 6 claims · 8 setups
TXNIP and BIRC3 are established as spatially restricted tumor-niche genes associated with metabolic stress and inflammatory survival pathways
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SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.
PMID 42015285 · PMC13231777 · Genome biology · 2026 · 8 claims · 6 setups
SpaNiche integrates smoothed cell-type abundance and ligand-receptor expression matrices via graph-regularized joint NMF, across multiple spatial views, to identify colocalization patterns
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Identification of a new population of Tnn(+) progenitors to form tendon enthesis fibrocartilage.
PMID 42009636 · PMC13096267 · Bone research · 2026 · 8 claims · 8 setups
A novel Tnn+ progenitor cell population resides in the tendon enthesis and serves as a cellular origin of fibrocartilage lineages
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Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma.
PMID 42010788 · PMC13102037 · Oncoimmunology · 2026 · 7 claims · 7 setups
DLBCL tissues are organized into six recurrent, spatially defined cellular ecosystems (Cell-Eco) with distinct immune compositions, transcriptional programs, and neighborhood architectures.
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Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.
PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups
GARDEN identifies and characterizes rare pathogenic cell populations/regions in spatial omics by embedding graph-based dynamic attention into a spatially-aware graph fusion contrastive model
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Spatial transcriptomics reveals the molecular signatures of prodromal and advanced α-synucleinopathy.
PMID 41736854 · PMC12927100 · iScience · 2026 · 7 claims · 6 setups
Early-stage (prodromal) aSyn pathology in M83+/+ mouse brainstem is associated with upregulation of ATP/energy metabolism pathways (glycolysis, oxidative phosphorylation, fatty acid metabolism)
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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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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
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Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.
PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups
Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings
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SGCRNA: spectral clustering-guided co-expression network analysis without scale-free constraints for multi-omic data.
PMID 41615289 · PMC12856952 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
WGCNA's reliance on a scale-free topology assumption is problematic because real co-expression networks do not consistently exhibit scale-free properties
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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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Multi-Transcriptomic Analysis Reveals That EREG-Driven TME Crosstalk Defines Anti-EGFR Response in Colorectal Cancer.
PMID 42043480 · PMC13115984 · Cancer medicine · 2026 · 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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Single-cell and spatial transcriptome analysis reveals the potential therapeutic targets for testicular sex cord-stromal cell tumor.
PMID 42057139 · PMC13130799 · Biomarker research · 2026 · 8 claims · 8 setups
Tumor areas of TSCST show significantly low expression of immune cell genes, indicating an immune-cold tumor microenvironment
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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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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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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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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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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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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.