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).
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Has reproduction · 94
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
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)
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Has reproduction · 94
iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.
PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups
Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal
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Has reproduction · 51
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
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
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Has reproduction · 69
Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
PMID 34675242 · PMC8531356 · Scientific reports · 2021 · 8 claims · 8 setups
Only 8 of 20 previously published COVID-19 scRNA-seq findings were reproducible across all relevant datasets in a standardized meta-analysis
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Has reproduction · 81
Assessing personalized molecular portraits underlying endothelial-to-mesenchymal transition within pulmonary arterial hypertension.
PMID 39462326 · PMC11513636 · Molecular medicine (Cambridge, Mass.) · 2024 · 8 claims · 8 setups
scRNA-seq of PAH and control lung tissue identifies nine distinct cell populations with high heterogeneity in composition, function, distribution, and communication
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Has reproduction · 76
Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTs.
PMID 38781959 · PMC11228554 · Cell reports. Medicine · 2024 · 8 claims · 8 setups
DSRCT tumor cells cluster into consistent subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs across patients and samples
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Has reproduction · 63
Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis.
PMID 34335581 · PMC8322955 · Frontiers in immunology · 2021 · 7 claims · 7 setups
Independent human liver immune scRNA-seq datasets can be combined into an integrated meta-atlas in which all datasets co-cluster, despite differing cell-type proportions between studies.
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Has reproduction · 67
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
PMID 37994351 · PMC10663991 · F1000Research · 2023 · 7 claims · 7 setups
A reproducible R-based workflow combines Seurat (QC, clustering, integration), monocle3 (trajectory inference), and edgeR (pseudo-bulk time course analysis) to perform single-cell pseudotemporal time course analysis.
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Has reproduction · 79
Alginate oligosaccharides improve germ cell development and testicular microenvironment to rescue busulfan disrupted spermatogenesis.
PMID 32194870 · PMC7053202 · Theranostics · 2020 · 8 claims · 8 setups
AOS rescues busulfan-disrupted spermatogenesis in vivo by increasing the proportion of germ cells (spermatocytes and spermatids)
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Has reproduction · 65
Interpretable and integrative analysis of single-cell multiomics with scMKL.
PMID 40770488 · PMC12328712 · Communications biology · 2025 · 7 claims · 7 setups
scMKL outperforms SVM, EasyMKL, MLP, and XGBoost in classification accuracy (AUROC) across multiple single-cell cancer datasets
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Has reproduction · 75
Allele-specific immune gene quantification and expression analysis in single-cell RNA-seq data.
PMID 41229397 · PMC12604667 · NAR genomics and bioinformatics · 2025 · 8 claims · 4 setups
scIGD is a Snakemake workflow that automates HLA allele-typing and allele-specific expression quantification from scRNA-seq data
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Has reproduction · 78
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
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.
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Has reproduction · 94
A single-cell survey of Drosophila blood.
PMID 32396065 · PMC7237219 · eLife · 2020 · 8 claims · 6 setups
scRNA-seq of Drosophila larval hemocytes across unwounded, wounded, and wasp-infested conditions resolves 17 clusters spanning plasmatocytes, crystal cells, lamellocytes, and a non-hemocyte population.
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Has reproduction · 59
WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
PMID 33736596 · PMC7977290 · BMC genomics · 2021 · 7 claims · 7 setups
WASP is a software platform for processing Drop-Seq-based scRNA-seq data generated with ddSEQ or 10x protocols, combining a Snakemake pre-processing pipeline with an R Shiny post-processing application.
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Has reproduction · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
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
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Has reproduction · 42
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
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups
Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.
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Has reproduction · 88
Enteroendocrine cell lineages that differentially control feeding and gut motility.
PMID 36810133 · PMC10032656 · eLife · 2023 · 6 claims · 8 setups
Vil1-p2a-FlpO knock-in mice combined with lineage-specific Cre lines enable highly selective intersectional genetic access to major enteroendocrine cell lineages (serotonin/enterochromaffin, GLP1, CCK, somatostatin, GIP) in vivo
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Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.