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).

• Single-cell atlas of the developing Down syndrome brain cortex.

  PMID 41545595 · PMC13004680 · Nature medicine · 2026 · 8 claims · 8 setups

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  RORB/FOXP1-expressing L4-like excitatory neurons are subtype-specifically and dramatically reduced in Down syndrome fetal cortex, especially at later stages (PCW16-20)

  fetal excitatory neural humanized single-nucleus immunostaining compositional

• Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTs.

  PMID 38781959 · PMC11228554 · Cell reports. Medicine · 2024 · 8 claims · 8 setups

  Has reproduction · 76

  DSRCT tumor cells cluster into consistent subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs across patients and samples

  fresh matched archived dsrct scrna-seq single-nucleus bulk

• 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

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  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

  ovarian kidney prostate breast simulation spot-level nucleus

• GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis.

  PMID 41769841 · PMC12970594 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  Incomplete/inaccurate gene annotations, especially missing or truncated 3' UTRs, cause reads to map to non-genic regions and genes to be under-quantified or missing from scRNA-seq expression matrices in non-model species

  genomes whole-organism xenia octopus peak scrna-seq