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-nucleus ATAC-seq analysis resolves chromatin and transcriptional features of fibrolamellar carcinoma.

  PMID 41865105 · PMC13144680 · Scientific reports · 2026 · 8 claims · 5 setups

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  snATAC-seq resolves cell-type specific chromatin accessibility, microRNA activity, transcription factor networks, and super enhancer usage in FLC tumors versus non-malignant liver (NML).

  flc bulk snatac-seq snrna-seq single-nucleus bulk motif

• A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma.

  PMID 42030938 · PMC13198283 · Cell reports. Medicine · 2026 · 8 claims · 8 setups

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  A multiomic (snRNA-seq, snATAC-seq, WGS, CODEX) atlas defines a core set of pHGG neoplastic cell states shared across molecular subtypes

  phgg neoplastic fetal single-nucleus whole-genome codex

• Single-cell resolution of an open chromatin signature in persister tumor cells.

  PMID 41485222 · PMC12978573 · Cell reports · 2026 · 8 claims · 8 setups

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  Single-nucleus multi-omic (snRNA-seq + snATAC-seq) profiling of fallopian tube, treatment-naive, and NACT-treated HGSOC tissue identifies a persister cell signature (PCS) defining the chemotherapy-tolerant state.

  non-malignant same epithelial tumor single-nucleus mitochondrial copy-number

• Single-cell multiomics profiling reveals heterogeneous transcriptional programs and microenvironment in DSRCTs.

  PMID 38781959 · PMC11228554 · Cell reports. Medicine · 2024 · 8 claims · 8 setups

  Has reproduction · 76

  DSRCT tumor cells cluster into consistent subpopulations with partially overlapping lineage- and metabolism-related transcriptional programs across patients and samples

  fresh matched archived dsrct scrna-seq single-nucleus 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