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).

• 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

• Dynamic changes of the immune microenvironment in ovarian cancer following neoadjuvant chemotherapy.

  PMID 41872134 · PMC13039919 · Cell death discovery · 2026 · 8 claims · 8 setups

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  Prostaglandin-mediated immunosuppressive microenvironment formation is a critical contributor to chemotherapy resistance following cisplatin treatment

  high-grade hgsoc bone bmdms scrna-seq cell-cell tensor

• Interpretable learning of temporal cellular dynamics from single-cell data.

  PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups

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  NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability

  gastrulation bone pancreatic cancer scrna-seq chip-seq computational

• Single-Cell RNA Analysis of Murine Osteosarcoma Uncovers Skp2 Function in Metastasis, Genomic Instability, and Immune Activation and Reveals Additional Target Pathways.

  PMID 41877584 · PMC13103941 · Cancer research communications · 2026 · 8 claims · 6 setups

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  Skp2 KO improves survival, drives apoptosis, and induces antitumor immunity in Rb1/Trp53-deficient murine osteosarcoma

  tumors same osteosarcoma skp2 scrna-seq mutation copy-number

• Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma.

  PMID 41882179 · PMC13035477 · Nature cancer · 2026 · 8 claims · 8 setups

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  LN-resident stromal cells (FRCs, BECs, LECs) drive chemokine-based lymphocyte zonation, and disruption of this system underlies the loss of tissue organization in nodal B cell lymphoma

  rln healthy bulk fl-ln scrna-seq multiplex bulk

• NeMO Analytics: a compendium of transcriptomic data for the exploration of neocortical development.

  PMID 41882195 · PMC13061640 · Nature neuroscience · 2026 · 8 claims · 8 setups

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  NeMO Analytics is a curated compendium assembling gene-level transcriptomic (and other multiomic) data from ~200 studies of neocortical development and in vitro models for interrogation by non-coding biologists

  midgestational macaque fetal radial scrna-seq bulk spatial

• GRNFormer: accurate gene regulatory network inference using graph transformer.

  PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups

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  GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information

  hematopoietic embryonic dendritic hepatocytes scrna-seq chip-seq string

• A unique malignant cell type per patient tumor encoded in each cancer cell transcriptome.

  PMID 41884004 · PMC13010111 · iScience · 2026 · 8 claims · 8 setups

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  Malignant cells cluster predominantly by tumor of origin, while non-malignant cells from the same tumors cluster by cell type independent of patient

  malignant non-malignant ovarian normal scrna-seq alternative paired

• A Single-Cell Atlas of Pan-Cancer Liver Metastasis Reveals Dynamic Cellular Programs Driving Metastatic Progression and Immune Modulation.

  PMID 41884334 · PMC13010057 · Research (Washington, D.C.) · 2026 · 8 claims · 4 setups

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  A pan-cancer single-cell transcriptomic atlas of liver metastasis was constructed from 100 scRNA-seq samples (75 individuals, 16 studies), profiling 460,337 cells into 121 distinct cellular subtypes.

  epithelial liver-related scrna-seq copy cellular

• Deconvolving cell-type-specific gene expression profiles from bulk RNA-seq samples.

  PMID 41886524 · PMC13038110 · PLoS computational biology · 2026 · 8 claims · 6 setups

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  BLUE, a U-Net-based deep learning model with dual branches (U-Net for GEPs, MLP for proportions), accurately predicts cell-type proportions and cell-type-specific gene expression profiles from bulk RNA-seq.

  pbmc pancreatic aml scrna-seq-derived real scrna-seq

• CAR-M2 immunotherapy resolves renal fibrosis via revascularization and apoptosis of profibrotic Cxcr2(+) endothelial cells.

  PMID 41887221 · PMC13130657 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  CAR-M2 macrophages (anti-FAP CAR + IL-4-secreting, 4-1BB/CD3ζ costimulatory domains) specifically target and phagocytose FAP+ fibroblasts

  kidney car-m2 macrophages uuo scrna-seq histology live-cell

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• ZFP148 is a transcriptional repressor of cytolytic effector CD8(+) T cell differentiation.

  PMID 41896465 · PMC13043298 · Nature immunology · 2026 · 8 claims · 8 setups

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  ZFP148 is enriched in CD8+ T progenitor (T PRO) cells and its expression declines during differentiation into effector (T EFF) and exhausted (T EX) cells

  p14 splenic cd8+ b16-gp scrna-seq flow tcr

• Single-Cell Multi-Tissue T Cell Clonal Dynamics Reveal Distinct Immune Coercion Landscapes in MSI and MSS Colorectal Cancer.

  PMID 41898550 · PMC13027115 · International journal of molecular sciences · 2026 · 8 claims · 5 setups

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  Immunotherapy response in CRC is better explained by TCR clonal dynamics (expansion, migration, functional transitions) than by MSI status alone

  crc single high-quality cd4+ scrna-seq tcr pseudotime

• Therapeutic manipulation and spatial quantification of the tumor microenvironment in colorectal cancer.

  PMID 41907400 · PMC13018967 · iScience · 2026 · 8 claims · 8 setups

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  Colorectal cancer fibroblast heterogeneity can be distilled into two overarching, transcriptomically distinct CAF populations marked by PDGFRA+ and ACTA2+ expression

  crc colonic gemm scrna-seq multiplex bulk

• Single-cell transcriptomic analysis reveals intra-tumoral heterogeneity and immunotherapy strategies in high-grade serous ovarian cancer.

  PMID 41907410 · PMC13018870 · iScience · 2026 · 8 claims · 8 setups

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  scRNA-seq of 17 HGSOC tissue samples reveals seven major cell types and extensive intra-tumoral heterogeneity

  hgsoc epithelial tcga gse165897 single-cell copy kegg

• KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

  PMID 41907411 · PMC13018899 · iScience · 2026 · 8 claims · 8 setups

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  A malignant epithelial subpopulation (Cluster 0) with the highest CytoTRACE stemness potential and highest EMT activity exists in ESCC scRNA-seq data

  escc degs eca109 kyse180 scrna-seq machine immunohistochemistry

• 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

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• Compact and informative representation learning for scRNA-seq data clustering with masked information bottleneck.

  PMID 41917934 · PMC13162528 · BMC biology · 2026 · 6 claims · 4 setups

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  scMIB achieves state-of-the-art and more stable clustering performance across diverse scRNA-seq datasets compared with ten baseline methods

  real same splatter-simulated scrna-seq clustering denoising