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).

• 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

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  snRNA-seq census of 227,680 nuclei across 48 cell types reveals altered cellular states and compositional rewiring of the distal lung in ILD

  frozen lung flash-frozen spatial single-nucleus scrna-seq 10x

• Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.

  PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups

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  UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data

  simulated colorectal hippocampus ear simulated runtime spatial

• scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution.

  PMID 41877186 · PMC13134144 · Genome biology · 2026 · 8 claims · 7 setups

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  scComm infers cell-cell communications at single-cell resolution using a data-adaptive L-R weighting module and supervised contrastive learning (SupCon loss) to distinguish significant CCC events from background noise

  simulated spatial liver single-cell simulated spatial scrna-seq

• SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data.

  PMID 41863296 · PMC13070677 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  SA2E is a spatial-aware auto-encoder framework for cell-type deconvolution that does not require predefined cell-type biomarkers

  olfactory legacy breast brain simulated real scrna-seq

• PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.

  PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups

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  PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results

  simulated null pbmc pancreas pseudotime tvg false-positive

• Hypoxia-driven remodeling of SELENOP(+) macrophages shapes T cell dynamics and promotes ovarian cancer metastasis.

  PMID 41526347 · PMC12852879 · Nature communications · 2026 · 8 claims · 8 setups

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  SELENOP+ macrophages co-occur and spatially co-localize with precursor exhausted (GZMH+) CD8+ T cells and activate these T cells via selenoprotein P in vitro and in vivo.

  hgsoc million pseudo-bulk hgsoc-derived scrna-seq sctcr-seq spatial

• 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

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  TXNIP and BIRC3 are established as spatially restricted tumor-niche genes associated with metabolic stress and inflammatory survival pathways

  prostate tcga-prad integration single-cell spatial pseudotime

• Dissecting origin factors of lymph node metastasis in non-small cell lung cancer via multimodal omics.

  PMID 41975179 · PMC13250061 · Nature communications · 2026 · 8 claims · 8 setups

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  Epithelial cells in mLNs and matched mLN+ primary tumors (mLN+PTs) show enhanced cancer stemness (higher CytoTRACE scores) compared to mLN-negative and normal samples.

  patient-matched mln epithelial tcga-luad scrna-seq spatial cytotrace

• 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

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  DLBCL tissues are organized into six recurrent, spatially defined cellular ecosystems (Cell-Eco) with distinct immune compositions, transcriptional programs, and neighborhood architectures.

  dlbcl cd45+ spots scrna-seq spatial scrna-seq cell-type

• Charting spatial ligand-target activity using Renoir.

  PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups

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  Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.

  intestine triple-negative dorsolateral dlpfc semi-synthetic spatial single-cell

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups

  Has reproduction · 42

  CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

  cancer testing sequencing unseen scrna-seq spatial

• Spatial Transcriptomics of Human Decidua Identifies Molecular Signatures in Recurrent Pregnancy Loss.

  PMID 41031483 · PMC13242933 · Genomics, proteomics & bioinformatics · 2026 · 7 claims · 8 setups

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  The human decidua contains two coherent spatial domains, the implantation zone (IZ) and glandular-secretory zone (GZ), corresponding to the decidua compacta and spongiosa

  first-trimester decidual spots dnk 10x h&e type

• VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysis.

  PMID 41507434 · PMC12891734 · Communications biology · 2026 · 8 claims · 6 setups

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  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

  brain breast embryo muscle imaging-based sequencing spot-based

• 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

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  transFusion is a comprehensive, web-based platform for integrated analysis of scRNA-seq and 10x Visium spatial transcriptomics data requiring no parameter configuration

  breast scrna-seq 10x cellphonedb

• 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

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  scRNA-seq and spatial transcriptomics data provide a rich, underused source of information for calibrating tissue-scale PDE models of ligand dynamics.

  skin combined annotated scrna-seq single-cell spatial cell2location

• Spatiotemporal Transcriptomics Characterizes Immune Microenvironment During Mouse Liver Aging.

  PMID 42010880 · PMC13096584 · Aging cell · 2026 · 8 claims · 8 setups

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  T cells are the immune cell population with the most pronounced transcriptomic alterations during liver aging

  liver nash cirrhotic hcc scrna-seq snrna-seq stereo-seq

• Decoding clone evolution in HER2 amplified breast cancer through single-cell and spatial transcriptomics analysis of copy number variations.

  PMID 41840060 · PMC13125306 · Scientific reports · 2026 · 8 claims · 7 setups

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  IDC exhibits significantly higher CNV burden than DCIS, supporting progressive genomic instability during tumor evolution

  her2-positive epithelial malignant tcga-brca single-cell spatial infercnv

• 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

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  EGFRI eligibility (defined by left-sidedness, RAS/BRAF wild-type, MSS) stratifies cancer cell transcriptomic characteristics more strongly than sidedness alone.

  crc epcam+ aggregated cancer scrna-seq copy pseudobulk

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  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

  simulated tcga melanoma renal scrna-seq bulk single-cell

• CellMap: precision mapping of cellular landscape in spatial transcriptomics.

  PMID 41505103 · PMC12781899 · Nucleic acids research · 2026 · 7 claims · 3 setups

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  CellMap combines co-linearity of seed genes, a random forest model, and the linear assignment algorithm to achieve optimal assignment of single cells to spatial spots

  platforms single-cell expression computational scrna-seq spatial