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).

• Integrative CSF profiling identifies disease-specific immune responses in leptomeningeal disease.

  PMID 41794040 · PMC13006398 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  CSF exhibits distinct, disease-specific immune landscapes across CNSL, BrMs, and GB-associated LMD

  csf peripheral brain cell-free single-cell deep spatial

• Clonal CD8(+) T cells populate the leptomeninges and coordinate with immune cells in human degenerative brain diseases.

  PMID 41593242 · PMC12864034 · Nature immunology · 2026 · 8 claims · 6 setups

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  The human leptomeninges harbor substantial numbers of clonally expanded, tissue-resident memory CD8 T cells (ZNF683-high, CXCR6+, PD-1+)

  postmortem leptomeninges scrna-seq-derived leptomeningeal single-cell flow imaging

• BiCLUM: Bilateral contrastive learning for unpaired single-cell multi-omics integration.

  PMID 41632825 · PMC12904586 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  BiCLUM consistently outperforms or matches existing integration methods across multiple RNA+ATAC and RNA+protein datasets in visualization and quantitative benchmarks

  pbmc kidney bmmc bmcite scrna-seq cite-seq

• Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.

  PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups

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  SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data

  pbmc bone skin embryos scrna-seq scnmt-seq asap-seq

• Multimodal framework for the joint analysis of single-cell RNA and T cell receptor sequencing data predicts T cell response to cancer immunotherapy.

  PMID 41820396 · PMC13121706 · Nature communications · 2026 · 8 claims · 7 setups

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  TRIM, a conditional multi-modal variational autoencoder integrating paired scRNAseq and scTCRseq data, predicts T cell clonality and transcriptional states at unmeasured tissue sites/timepoints.

  hnscc colorectal pan-cancer tcr paired umap convolutional

• Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner.

  PMID 41760664 · PMC13066420 · Nature communications · 2026 · 8 claims · 8 setups

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  CellRefiner is a physical/particle-based model (subcellular element method) that integrates scRNA-seq and spatial transcriptomics data to reconstruct single-cell resolution spatial data

  hypothalamic embryo hippocampus visual merfish seqfish slide-seqv2

• 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

• Identification of succinylation-related genes in bladder cancer: integration of single-cell and transcriptomic data.

  PMID 42220482 · PMC13218921 · Frontiers in immunology · 2026 · 8 claims · 8 setups

  Has reproduction · 78

  KCTD16, CD3D, and GSDMB were identified as prognostic succinylation-related genes in BLCA

  soochow-blca tcga-blca gse13507 gse135337 bulk scrna-seq somatic

• Colorectal microenvironment determines the prognosis of colorectal cancer.

  PMID 41495419 · PMC12868731 · Experimental & molecular medicine · 2026 · 8 claims · 7 setups

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  The colorectal microenvironment (classified via NBT gene expression as tumor-supportive vs healthy) can serve as a prognostic biomarker predicting cancer invasiveness and recurrence

  paired nbt slide bulk bulk 16s single-cell

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• 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

• A pan-cancer single-cell transcriptomic atlas of human bone metastases.

  PMID 41619722 · PMC12923970 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  Constructed a pan-cancer single-cell transcriptomic atlas of 62 human bone metastases (predominantly spinal) across 13 primary cancer types, with paired primary tumor and normal bone marrow samples.

  bone paired plasmacytoma malignant scrna-seq ihc infercnv

• Discovery of key regulators in classical monocyte phenotypes linked to COVID-19 severity using single-cell multi-omics sequencing.

  PMID 41732268 · PMC12925236 · iScience · 2026 · 8 claims · 8 setups

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  Two severity-associated classical monocyte (cMono) subtypes, IL7R+ and CD163+, exist with distinct transcriptional and epigenetic landscapes.

  pbmcs pbmc classical cmono single-nucleus differential multimodal

• Solute exchange through gap junctions lessens the adverse effects of inactivating mutations in metabolite-handling genes.

  PMID 36107487 · PMC9534548 · eLife · 2022 · 8 claims · 8 setups

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  Colorectal cancer (CRC) cells are coupled by gap junctions assembled predominantly from Cx26 (GJB2)

  colorectal normal crc microarray tcga single-cell

• Hypoxia-driven remodeling of SELENOP(+) macrophages shapes T cell dynamics and promotes ovarian cancer metastasis.

  PMID 41526347 · PMC12852879 · Nature communications · 2026 · 8 claims · 8 setups

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  SELENOP+ macrophages co-occur and spatially co-localize with precursor exhausted (GZMH+) CD8+ T cells and activate these T cells via selenoprotein P in vitro and in vivo.

  hgsoc million pseudo-bulk hgsoc-derived scrna-seq sctcr-seq spatial

• The liver as an immunological barrier redefined by single-cell analysis.

  PMID 32176810 · PMC7218664 · Immunology · 2020 · 8 claims · 8 setups

  Has reproduction · 100

  Emerging single-cell technologies have advanced or redefined understanding of the liver's immunological barrier function

  liver c57bl sorted pdgfrb-gfp scrna-seq single-molecule

• Utilizing the codon adaptation index to evaluate the susceptibility to HIV-1 and SARS-CoV-2 related coronaviruses in possible target cells in humans.

  PMID 36760235 · PMC9905242 · Frontiers in cellular and infection microbiology · 2022 · 8 claims · 8 setups

  Has reproduction · 71

  CAI is positively correlated with translational efficiency, validating its use as a proxy for translational efficiency at the elongation level.

  unstimulated cd4+ kidney liver bulk single-cell

• Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.

  PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups

  Has reproduction · 73

  N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort

  breast paired embryonic hesc-derived bulk rt-qpcr immunofluorescence

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types.

  PMID 41566530 · PMC12906006 · Genome biology · 2026 · 7 claims · 6 setups

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  Pseudobulk and real bulk RNA-seq deconvolution performance differ significantly, and method ranking consistency is lower between pseudobulk and real bulk than within either data type alone

  breast real colon tcga paired pseudobulk bulk