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 the molecular signatures of prodromal and advanced α-synucleinopathy.

  PMID 41736854 · PMC12927100 · iScience · 2026 · 7 claims · 6 setups

  Has reproduction · 70

  Early-stage (prodromal) aSyn pathology in M83+/+ mouse brainstem is associated with upregulation of ATP/energy metabolism pathways (glycolysis, oxidative phosphorylation, fatty acid metabolism)

  sagittal st-derived spatial immunofluorescence cell-cell

• SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics.

  PMID 41972009 · PMC13069690 · NAR genomics and bioinformatics · 2026 · 8 claims · 3 setups

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  SpNeigh is an R package for spatial neighborhood analysis and spatially aware differential expression modeling

  brain breast liver spatial

• 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

• RESCUE: recovery of unattributed expression patterns in spatial transcriptomics.

  PMID 41963343 · PMC13247165 · Nature communications · 2026 · 8 claims · 5 setups

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  Existing ST analysis methods (segmentation, deconvolution) systematically omit or mislabel a substantial portion of true molecular expression

  synthetic honey simulation merfish segmentation

• Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.

  PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups

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  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

  e18 simulated scrna-seq sprna-seq scrna-seq simulation count

• MultiSP deciphers tissue structure and multicellular communication from spatial multi-omics data.

  PMID 41650976 · PMC13174227 · Cell genomics · 2026 · 7 claims · 5 setups

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  MultiSP outperforms existing spatial and single-cell multi-omics integration methods in detecting biologically accurate spatial domains across multiple spatial multi-omics technologies and tissue types

  lymph embryo brain postnatal spatial misar-seq chromvar

• stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.

  PMID 41692960 · PMC12960910 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

  Has reproduction · 75

  stDyer-image directly associates the image modality with predicted cluster labels rather than using images to enhance/impute gene expression data

  non-small morphology brain breast spatial image

• Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies.

  PMID 41501078 · PMC12780049 · Nature communications · 2026 · 8 claims · 7 setups

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  MAGPIE is a computational framework (Snakemake workflow) that co-registers Visium spatial transcriptomics with MSI metabolomics and tissue morphology images from same or consecutive sections

  lung brain publicly rodent spatial desi h&e

• Intestinal macrophages modulate synucleinopathy along the gut-brain axis.

  PMID 41606336 · PMC12960212 · Nature · 2026 · 8 claims · 8 setups

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  ME-Macs engulf misfolded, aggregated αS and modulate αS pathology and neurodegeneration in PD mouse models

  3kl sorted me-macs snca immunohistochemistry digital mass

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  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

  heart cortex visual brain spatial cell-type

• A golden age of brain exploration.

  PMID 15660159 · PMC544547 · PLoS biology · 2005 · 8 claims · 3 setups

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  Over 99% of neuroscience literature focuses on only 1% of the ~15,000–16,000 genes expressed in the brain, leaving most brain-expressed genes uncharacterized.

  brain transgenic situ microarray bacterial

• Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.

  PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups

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  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

  breast anterior brain olfactory 10x starmap slide-seqv2

• Spatiotemporal transcriptomic profiling reveals upregulation of glycolysis pathway genes before overt tauopathy in the PS19 mouse model.

  PMID 41688738 · PMC12992590 · Experimental & molecular medicine · 2026 · 7 claims · 7 setups

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  Pgk1, a glycolytic hub gene, is upregulated in the CA3 hippocampal subregion at 2 months of age, preceding detectable tau tangle pathology, and its expression correlates with tangle severity.

  ps19 spatial immunohistochemistry immunofluorescence

• Heterozygous ADAR mutant mice exhibit RNA sensing-dependent neuroinflammation and phenotypes associated with Aicardi-Goutières syndrome.

  PMID 41704749 · PMC12907846 · iScience · 2026 · 8 claims · 8 setups

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  A heterozygous Adar G1007R (mouse G956R/G567) mouse model recapitulates the genetic and inflammatory features of human ADAR G1007R AGS patients

  brain computational coronal adar1 real-time bulk ingenuity

• Spatial perturb-seq: single-cell functional genomics within intact tissue architecture.

  PMID 41723140 · PMC13035813 · Nature communications · 2026 · 8 claims · 8 setups

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  Spatial Perturb-Seq simultaneously measures whole transcriptome (cell type), CRISPR barcodes (perturbation), spatial coordinates, and cell-cell interactions through a single Stereo-seq and/or Xenium run.

  hippocampus bone brain aav-transduced scrna-seq snrna-seq spatial

• Single-cell epigenomics uncovers heterochromatin instability and transcription factor dysfunction during mouse brain aging.

  PMID 41824460 · PMC13189690 · Cell reports · 2026 · 8 claims · 6 setups

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  Aging causes widespread, concordant changes in chromatin accessibility and gene expression across neuronal and glial cell types in the mouse brain

  brain snatac-seq single-nucleus merfish

• SMART: spatial multi-omic aggregation using graph neural networks and metric learning.

  PMID 41896208 · PMC13031631 · Nature communications · 2026 · 8 claims · 5 setups

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  SMART accurately identifies spatial regions of anatomical structures and is compatible with spatial datasets of any type and number of omics layers

  simulated lymph brain spleen simulated spatial multi-section

• Interpretable, flexible and spatially aware integration of multiple spatial transcriptomics datasets from diverse sources.

  PMID 42045691 · PMC13175893 · Nature genetics · 2026 · 6 claims · 7 setups

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  INSPIRE is a deep-learning method that unifies adversarial learning with a GNN-based encoder and integrated NMF to interpretably integrate multiple spatial transcriptomics datasets

  synthetic dorsolateral brain cortex simulated visium spatial

• 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

• 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