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 · 71
Single-Cell Transcriptomic Landscape of Right-Sided Colon Cancer Reveals Cellular and Molecular Features of Metastatic Potential.
PMID 41898210 · PMC13024220 · Biomedicines · 2026 · 8 claims · 6 setups
RCC_LM tumors exhibit higher genomic instability (CNV score) than RCC_noM tumors
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Single-cell epigenetic profiling reveals a tumor-intrinsic interferon response program in ccRCC tied to poor prognosis and BAP1 loss.
PMID 41719400 · PMC12922754 · Science advances · 2026 · 8 claims · 8 setups
Subclustering of ccRCC tumor cells reveals four shared epigenetic programs (C0-C3) recurrent across patients, cohorts, and disease stages
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Pre-operative urinary cathepsin D is associated with survival in patients with renal cell carcinoma.
PMID 19789534 · PMC2768081 · British journal of cancer · 2009 · 8 claims · 7 setups
Cathepsin D, identified via comparative 2D PAGE of conditioned media from RCC cell lines vs normal renal cultures, is a candidate secreted biomarker of RCC
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Comprehensive analysis of the causal risk factor from hypertension associated with prognosis and therapeutic response in renal cell carcinoma by multi-omics analysis and validation.
PMID 41680825 · PMC12998095 · Biology direct · 2026 · 8 claims · 8 setups
A 48-gene cross-species hypertension (HTN) gene module identified from human and SHR rat scRNA-seq can classify ccRCC patients into two molecular subgroups with distinct survival and targeted therapy response
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Cell neighborhood topology directs rare cell population identification.
PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups
RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data