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).

• The macrophage entry mechanism of SARS-CoV-2 mediated by surface CD98/TMPRSS11E complex is associated with the cellular tropism toward proinflammatory M1 and pathogenesis.

  PMID 41877147 · PMC13137717 · Respiratory research · 2026 · 8 claims · 8 setups

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  CD98 (CD98hc/SLC3A2) is a novel receptor for the SARS-CoV-2 Spike protein

  thp-1-derived 293t structures thp-1 co-ip co-immunoprecipitation molecular

• 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

• Exploring phenotype-related single-cells through attention-enhanced representation learning.

  PMID 41566378 · PMC12906058 · Genome medicine · 2026 · 6 claims · 5 setups

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  scPhase, an attention-based multiple instance learning (AMIL) framework with Mixture-of-Experts aggregation, predicts sample-level clinical phenotypes from raw scRNA-seq data and generalizes across patient cohorts

  pbmcs brain tumor scrna-seq

• Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity.

  PMID 42024616 · PMC13188987 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  MUSTARD is a trajectory-guided dimensionality reduction method for multi-sample, multi-condition scRNA-seq data that simultaneously captures gene expression variation along pseudotime and across samples

  simulated covid-su covid-stephenson tuberculosis data-driven scrna-seq pseudobulk-pca

• 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

• Single-cell dissection of chronic lung allograft dysfunction reveals convergent and distinct fibrotic mechanisms.

  PMID 41122970 · PMC12581678 · JCI insight · 2025 · 8 claims · 8 setups

  Has reproduction · 75

  CLAD exhibits specific cellular subsets including Fibro.AT2 cells, exhausted CD8+ T cells, and superactivated macrophages

  clad covid-19 million formalin-fixed single-cell single-nucleus integrated

• A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations.

  PMID 39744938 · PMC11684814 · The Journal of clinical investigation · 2025 · 8 claims · 4 setups

  Has reproduction · 78

  Integration of public and newly generated scRNA-seq datasets yields a compendium of 139 subjects (193 samples, 403,973 immune cells) spanning CSF and blood across healthy controls and multiple neurologic diseases.

  csf scrna-seq trajectory flow

• AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PM(2.5) exposure.

  PMID 41912520 · PMC13194984 · Nature communications · 2026 · 8 claims · 6 setups

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  A fine-tuned Geneformer (single-cell transcriptomics transformer) model classifies PM2.5 exposure status and generalizes better than BERT models trained from scratch, especially with limited data.

  lung fine-tuned biobank single-cell bulk gene

• Tumor reactivity assessment using clonal expression reveals tumor reactive CD8(+) T cell heterogeneity across solid tumors.

  PMID 42079667 · PMC13128579 · Frontiers in immunology · 2026 · 8 claims · 5 setups

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  TRACE, a clonotype-level CD8+ TRT classifier trained on an aggregated multi-study dataset, achieves robust holdout performance (mean MCC 0.84, F1 0.85)

  cd8+ expanded aggregated combined scrna-seq co-culture gene

• FUNCellA: A Tool for Single-Sample Enrichment Analysis and Relative Pathway Activity Estimation in Single-Cell RNA Sequencing Data.

  PMID 42021835 · PMC13096679 · Computational and structural biotechnology journal · 2026 · 7 claims · 8 setups

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  FUNCellA integrates 7 single-sample enrichment algorithms with novel relative activation thresholding methods to identify active, inactive, and intermediate cellular states in scRNA-Seq data

  pbmcs bone liver blood scrna-seq simulated microarray

• Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.

  PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)

  pbmc cord melanoma lung scrna-seq computational

• Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

  PMID 40106407 · PMC11964219 · PLoS genetics · 2025 · 7 claims · 6 setups

  Has reproduction · 95

  Mouse-Geneformer, a Transformer Encoder model pre-trained via masked-token self-supervised learning on mouse-Genecorpus-20M, was successfully constructed following the original human Geneformer architecture.

  healthy scrna-seq disease scrna-seq type perturbation

• Characterizing gene perturbations in single cells via network divergence analysis.

  PMID 41965857 · PMC13249949 · Nature communications · 2026 · 8 claims · 8 setups

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  scDNS quantifies gene-specific functional perturbations by measuring Jensen-Shannon divergence between condition-specific gene interaction network configurations

  ipsc-derived embryonic panc-1 triple scrna-seq single-nucleus

• scMILD: Single-cell multiple instance learning for sample classification and associated subpopulation discovery.

  PMID 41907409 · PMC13019583 · iScience · 2026 · 8 claims · 8 setups

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  scMILD identifies condition-associated cells using only sample-level labels via a dual-branch MIL architecture with a shared encoder

  simulated lupus covid-19 ulcerative simulated mixture scrna-seq