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-nucleus multiome analysis in the human prefrontal cortex identifies gene expression and cis-regulatory elements associated with aging.

  PMID 41832957 · PMC13137218 · Cell reports · 2026 · 8 claims · 8 setups

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  Generated a single-nucleus multiome (snATAC + gene expression) dataset from 357 human dorsolateral prefrontal cortex samples (ages 15-100, European and African admixed ancestry), yielding over 1.5 million cells as a public resource.

  postmortem million+ pfc each single-nucleus umap pseudobulk

• Sequencing mRNA from cryo-sliced Drosophila embryos to determine genome-wide spatial patterns of gene expression.

  PMID 23951250 · PMC3741199 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Cryosectioning single blastoderm-stage D. melanogaster embryos along the A–P axis and sequencing mRNA from each slice yields reliable genome-wide spatial expression patterns.

  single methanol-fixed reads slice mrna-seq light-microscopy read

• Single-nucleus multiomic profiling of the aging mouse substantia nigra reveals conserved gene alterations linked to Parkinson's disease.

  PMID 41781332 · PMC13138337 · Genome research · 2026 · 8 claims · 7 setups

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  Single-nucleus multiome (RNA+ATAC) sequencing of mouse substantia nigra across four age stages (2, 6, 12, 18 months) yields a 40,125-cell atlas spanning 27 cell subclasses

  substantia allen five oligodendrocyte single-nucleus scrna-seq single-cell

• Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning.

  PMID 41588477 · PMC12833949 · Genome medicine · 2026 · 8 claims · 4 setups

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  scMDCF outperforms existing state-of-the-art scMulti-omics integration and clustering models across various types of scMulti-omics datasets, including robustness against batch effects

  single immune dorsolateral cite-seq scrna-atac-seq snmulti-omics