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).

• Integrating single-cell and bulk transcriptomes identifies B cell features associated with neoadjuvant chemoradiotherapy sensitivity in rectal cancer.

  PMID 41484196 · PMC12800305 · Scientific reports · 2026 · 8 claims · 8 setups

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  A B cell subpopulation co-expressing HLA-DRB5, HLA-DQA2, HLA-DQB1, CD74, and ACTG1 is significantly associated with favorable nCRT response in rectal cancer

  larc scrna-seq scissor+ single-cell bulk pseudotime

• 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

• SpaJoint: a transfer learning method for spatial transcriptomics deconvolution.

  PMID 41955028 · PMC13069903 · Briefings in bioinformatics · 2026 · 8 claims · 1 setups

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  SpaJoint is a transfer-learning-based deconvolution method that integrates scRNA-seq and ST gene expression while accounting for spatial correlation across spots.

  simulated spatial

• A Cross-Species Single-Cell Atlas Reveals Conserved Regulatory Networks and Candidate Hearing Loss Genes in the Cochlea.

  PMID 42074555 · PMC13115875 · Genes · 2026 · 8 claims · 8 setups

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  A cross-species single-cell/single-nucleus RNA-seq atlas of human fetal and mouse postnatal cochlea identifies 19 conserved major cell types

  cochlea fetal top scrna-seq snrna-seq cell-cell

• AutoGERN: single-cell RNA-seq gene regulatory network inference via explicit link modeling and adaptive architectures.

  PMID 41871930 · PMC13064981 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

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  AutoGERN explicitly models regulatory information in the message-passing space via learned link (edge) embeddings, which are scored by a lightweight MLP to infer TF–target interactions.

  seven same scrna-seq-based chip-seq cold-start

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups

  Has reproduction · 42

  CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy

  cancer testing sequencing unseen scrna-seq spatial

• Single-cell immunophenotyping identifies CD8+GZMK+IFNG+ T cells as a key immune population in cutaneous Lyme disease.

  PMID 41729083 · PMC12956012 · JCI insight · 2026 · 8 claims · 7 setups

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  A clonally expanded CD8+GZMK+IFNG+ T cell population (subdivided into IFNGhi and IFNGint groups) is enriched in the EM lesion and shows an inflammatory, tissue-resident phenotype (GZMBlo/PRF1-) resembling tissue-enriched GZMK+ TteK cells

  whole-skin cd8+gzmk+ifnghi identified skin scrna-seq pseudobulk immune

• Pan-Cancer Single-Cell RNA Sequencing Analysis Refines Multi-Origin Monocyte and Macrophage Lineages.

  PMID 41231218 · PMC12865363 · Cancer immunology research · 2026 · 6 claims · 8 setups

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  TAMs arise from two distinct origins: C1QC+ TAMs likely derive from resident tissue macrophages, while SPP1+ TAMs and ISG15+ TAMs likely originate from circulating monocytes.

  myeloid melanoma monocyte-to-macrophage coad-read scrna-seq differential developmental

• 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

• 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

• Identification and comparison of orthologous cell types from primate embryoid bodies shows limits of marker gene transferability.

  PMID 41949281 · PMC13061419 · eLife · 2026 · 7 claims · 6 setups

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  Human marker genes are less effective in macaques and vice versa, showing limited transferability of markers across species.

  ipsc-derived day integrated ipscs scrna-seq flow immunofluorescence

• 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

• Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.

  PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 51

  Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects

  pbmcs eight pbmc monocytes scrna-seq genetic cis-eqtl

• TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution.

  PMID 41296555 · PMC12807651 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  TE-SCALE is a comprehensive single-cell database integrating TE expression across 20 human cancer types and 12 tissue origins

  tumor quality-controlled scrna-seq metacells scrna-seq subfamily automated

• 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

• 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

• 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

• 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

• ProtoCloud: A prototypical self-explaining model for single-cell analysis.

  PMID 41997134 · PMC13261663 · Cell genomics · 2026 · 8 claims · 8 setups

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  ProtoCloud matches or outperforms existing annotation methods across 11 large-scale datasets, particularly for rare cell types

  diverse pbmc10k pbmc30k tsca scrna-seq latent gene

• Cell-type annotation with accurate unseen cell-type identification using multiple references.

  PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups

  Has reproduction · 68

  mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy

  pbmc pancreas covid-19 scrna-seq