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).

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

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  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations.

  PMID 39744938 · PMC11684814 · The Journal of clinical investigation · 2025 · 8 claims · 4 setups

  Has reproduction · 78

  Integration of public and newly generated scRNA-seq datasets yields a compendium of 139 subjects (193 samples, 403,973 immune cells) spanning CSF and blood across healthy controls and multiple neurologic diseases.

  csf scrna-seq trajectory flow

• GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data.

  PMID 42108634 · PMC13158126 · Briefings in bioinformatics · 2026 · 6 claims · 5 setups

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  GAMMI consistently outperforms state-of-the-art integration methods (GLUE, Harmony, MIDAS, scMoMaT) in biological conservation and batch correction across five mosaic single-cell multi-omics benchmarks

  pbmc postmortem gse138852 gammi-derived multi-omics scrna-seq differential

• 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

• Human neuronal differentiation under Aβ exposure: a single-cell transcriptomic and epigenomic dataset.

  PMID 41807428 · PMC13103403 · Scientific data · 2026 · 8 claims · 4 setups

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  A paired scRNA-seq and scATAC-seq dataset was generated from NPCs differentiated over Days 0, 7, 13, and 20 under baseline and Aβ 1-42 exposure conditions

  hipsc-derived hippocampal scrna-seq scatac-seq flow

• scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.

  PMID 41820391 · PMC13121454 · Nature communications · 2026 · 8 claims · 5 setups

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  scTWAS uses a latent-variable expression-measurement model combined with a moment-based regression to more accurately estimate genetic regulation of gene expression from single-cell data, improving GReX prediction across cell types and datasets

  onek1k-derived onek1k-based immune brain simulated two-sample stage

• Agonal cell resuscitation strategy to promote tissue repair.

  PMID 41965918 · PMC13246746 · Nature communications · 2026 · 8 claims · 8 setups

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  Agonal cells upregulate endocytosis and SNARE-mediated vesicular transport machinery and phosphatidylserine receptor (PSR) genes, enhancing uptake of extracellular vesicles (EVs)

  ripk3-oe six wound hmlkl bulk single-cell flow

• Shared genetic and neuroimmune architecture links type 1 diabetes with neurocognitive traits.

  PMID 41826324 · PMC13139607 · Nature communications · 2026 · 8 claims · 8 setups

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  T1D GWAS heritability is enriched in accessible chromatin of brain-resident cells, most notably microglia, across neurodevelopment into adulthood

  cortex single-nucleus gwas gtex stratified scavenge s-ldsc

• 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