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).

• Multimodal-based analysis of single-cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulations.

  PMID 41530870 · PMC12888741 · Genome medicine · 2026 · 8 claims · 8 setups

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  MAAS integrates chromatin accessibility, CNVs, and SNVs from scATAC-seq data to identify functional tumor cell subpopulations

  tumor pediatric b-cell glioblastoma scatac-seq bulk gene

• 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

• scCNMF: an integrated analysis model for paired single-cell RNA sequencing and assay for transposase-accessible chromatin sequencing data leveraging cell similarity and cis-regulatory potential.

  PMID 41800139 · PMC12962131 · PeerJ · 2026 · 7 claims · 2 setups

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  scCNMF is an NMF-based model for vertical integration of paired scRNA-seq and scATAC-seq data that jointly incorporates a cell similarity matrix and a cis-regulatory potential (CRP) matrix

  publicly 10x paired

• Human-scATAC-Corpus: a comprehensive database of scATAC-seq data.

  PMID 41296545 · PMC12807747 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  Human-scATAC-Corpus is a comprehensive database of human scATAC-seq data comprising 5,407,621 cells from 35 datasets across 37 tissues or cell lines

  tissues scatac-seq five subset scatac-seq genome unified

• 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

• Dynamics and regulation of mitotic chromatin accessibility bookmarking at single-cell resolution.

  PMID 36696508 · PMC9876548 · Science advances · 2023 · 7 claims · 8 setups

  Has reproduction · 50

  Chromatin accessibility continually decreases from mitotic entry until metaphase, then gradually increases as chromosomes segregate.

  l02 tissues hepatoma scatac-seq immunofluorescence atac-see

• 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

• 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

• 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 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

• 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

• 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

• 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

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial

• 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

• Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.

  PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility

  scrna-seq unpaired single-cell scgpt batch multi-omic cell-type

• 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

• 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

• 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

• Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration.

  PMID 42054434 · PMC13148828 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  SEBULA models the singlet background directly from observed HCLC (high-coverage locus count) statistics using fragment-level snATAC-seq information, avoiding reliance on synthetic/artificial doublets.

  dogma-seq dogma-seq-derived seven snatac-seq q-q density