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).

• Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.

  PMID 41053409 · PMC12500777 · Cancer metastasis reviews · 2025 · 8 claims · 8 setups

  Has reproduction

  A 12-step CTC-specific scRNA-seq workflow is proposed, spanning enrichment, single-cell sorting, sequencing, data pre-processing and downstream analysis, to overcome methodological inconsistencies in the field.

  ctcs pooled single neuroblastoma scrna-seq multi-omics

• Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq.

  PMID 33441952 · PMC7806779 · Scientific reports · 2021 · 8 claims · 6 setups

  Has reproduction · 47

  Carcinoma cell profiles are distinct for each patient, while diverse microenvironmental (nonmalignant) subsets are shared across different patients.

  tumour single differentially seurat-identified single-cell differential gene

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

  Full-text index only

  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• 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

• 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