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).

• A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.

  PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups

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  Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification

  dorsal scrna-seq skin fibroblast scatac-seq scrna-seq spatial

• Single-cell epigenetic profiling reveals a tumor-intrinsic interferon response program in ccRCC tied to poor prognosis and BAP1 loss.

  PMID 41719400 · PMC12922754 · Science advances · 2026 · 8 claims · 8 setups

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  Subclustering of ccRCC tumor cells reveals four shared epigenetic programs (C0-C3) recurrent across patients, cohorts, and disease stages

  rcc internal tumor state-specific single-cell multiome copy

• Single-cell multiome and enhancer connectome of human retinal pigment epithelium and choroid nominate causal variants in macular degeneration.

  PMID 41528844 · PMC12971065 · Cell reports · 2026 · 8 claims · 8 setups

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  Generated a single-cell gene expression and chromatin accessibility (multiome) atlas of human RPE and choroid from control and AMD eyes

  rpe-choroid rpe arpe-19 scatac-seq joint h3k27ac activity-by-contact

• Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.

  PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix

  specified covid-19 scatac scatac-seq bulk

• Developing a comprehensive database and search tool for single-cell ATAC-seq data.

  PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups

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  scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format

  hematopoietic drosophila cancer scatac-seq sci-atac-seq sci-car

• Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.

  PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups

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  LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings

  single-cell same dapp1 benchmarking umap component-wise

• 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

• MitoPerturb-Seq identifies gene-specific single-cell responses to mitochondrial DNA depletion and heteroplasmy.

  PMID 41922875 · PMC13095666 · Nature structural & molecular biology · 2026 · 8 claims · 6 setups

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  MitoPerturb-Seq combines pooled CRISPR–Cas9 screening (CROP-seq) with 10x Genomics multiome (scATAC-seq + scRNA-seq) to simultaneously profile mtDNA sequence/copy number/heteroplasmy and the nuclear transcriptome/chromatin accessibility in single heteroplasmic cells

  cas9-expressing heteroplasmic tfam-ko pooled tap-seq hybridization-capture-based

• Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

  PMID 42026624 · PMC13238118 · Genome biology · 2026 · 8 claims · 6 setups

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  SEAGALL combines a geometry-regularised autoencoder (GRAE) to embed cells and build a cell-cell graph with a graph attention network (GAT) classifier and GNNExplainer-based XAI to identify features driving cell type/phenotype.

  count same scchip-seq ten count latent classification

• OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.

  PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data

  simulated classical degs naive simulated bulk real

• Dissecting gene regulatory networks governing human cortical cell fate.

  PMID 41565813 · PMC12999477 · Nature · 2026 · 8 claims · 6 setups

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  ZNF219, a previously uncharacterized transcription factor, represses neural differentiation in human cortical radial glia

  cortical rhesus single-cell scrna-seq immunocytochemistry

• Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels.

  PMID 41649260 · PMC12880807 · eLife · 2026 · 8 claims · 8 setups

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  13LGS cone photoreceptors arise from both early-stage and late-stage neurogenic progenitors, unlike mice where cones arise only from early-stage progenitors

  13-lined retina 13lgs retinal single-cell scrna-seq chromvar

• 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

• Empowering integrative and collaborative exploration of single-cell and spatial multimodal data with SGS genome browser.

  PMID 40233745 · PMC12143324 · Cell genomics · 2025 · 8 claims · 6 setups

  Has reproduction

  SGS is a user-friendly, collaborative, versatile browser for integrative visualization of single-cell and spatial multimodal (scMulti-omics) data

  dorsal hematopoietic brain onek1k sn-m3c-seq scatac-seq spatial

• CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.

  PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

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  CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory

  bmmc pbmc foetal cis-regulatory enhancer-promoter scalability

• iAODE for benchmarking and continuum modeling of single-cell chromatin accessibility.

  PMID 41775921 · PMC13066597 · Communications biology · 2026 · 8 claims · 5 setups

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  iAODE combines a ZINB-likelihood VAE, a latent Neural ODE, low-weight KL regularization, and an interpretable reconstruction (irecon) bottleneck to learn generative, temporally continuous latent spaces for scATAC-seq.

  simulated real small simulated scatac-seq

• Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis.

  PMID 41862476 · PMC13004862 · Nature communications · 2026 · 7 claims · 8 setups

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  Mechanical stress (MS) signaling is significantly elevated in endothelial cells (ECs) from IPF patients and correlates with fibrosis severity and lung function decline

  lung cd31+ single-nucleus scissor meta-analysis

• A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translation.

  PMID 41980989 · PMC13253844 · Nature communications · 2026 · 8 claims · 7 setups

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  scDiffusion-X is a multi-modal latent denoising diffusion probabilistic model for single-cell multi-omics data generation, translation, and interpretation.

  openproblem 10x babel miniatlas paired modality augmentation

• Partially shared multi-modal embedding learns holistic representation of cell state.

  PMID 41741805 · PMC13021527 · Nature computational science · 2026 · 8 claims · 5 setups

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  APOLLO automatically learns partial information sharing between multiple data modalities using an autoencoder with a partially overlapping latent space trained via latent optimization.

  simulated paired single simulation scrna-seq multiplexed

• A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.

  PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups

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  Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.

  bulk scatac-seq cnn gm12878 bulk scatac-seq deep