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).

• Benchmarking component choices for unpaired single cell RNA and epigenomic integration.

  PMID 41987329 · PMC13192178 · Genome biology · 2026 · 7 claims · 8 setups

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  Gene activity scores (GAS) show limited correlation with actual gene expression but effectively preserve cellular neighborhood structure and support clustering.

  e18 pbmc brain kidney scrna-seq share-seq gas

• 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

• 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-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

• CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.

  PMID 41481570 · PMC12758788 · PLoS computational biology · 2026 · 8 claims · 7 setups

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  CellPredX is a unified semi-supervised framework integrating domain adaptation and deep metric learning to align heterogeneous embeddings for cross-modality cell type annotation.

  pbmc fetal pancreas gse149683 matched unmatched cross-protocol

• Cell neighborhood topology directs rare cell population identification.

  PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell