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).
-
Full-text index only
Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment.
PMID 41613532 · PMC12847018 · Frontiers in oncology · 2025 · 7 claims · 8 setups
Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups
-
Has reproduction
Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.
PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 8 setups
Metabolic status is closely tied to tumor differentiation state, with distinct metabolic reprogramming occurring during thyroid cancer dedifferentiation
-
Has reproduction · 66
Liver-specific paraoxonase-1 alleviates regulatory T cell-driven immunosuppression via metabolic reprogramming in hepatocellular carcinoma.
PMID 41387425 · PMC12701056 · Nature communications · 2025 · 8 claims · 8 setups
PON1 expression is downregulated in HCC tumor tissue and low PON1 is associated with worse prognosis
-
Has reproduction · 50
Heterogeneity of cancer-associated fibroblasts in head and neck squamous cell carcinoma.
PMID 37320872 · PMC10277597 · Translational oncology · 2023 · 8 claims · 9 setups
Seven distinct CAF subsets exist in HNSCC, identified via integration of scRNA-seq, bulk transcriptomic, and spatial transcriptomic data.
-
Full-text index only
Multimodal learning reveals plants' hidden sensory integration logic.
PMID 41714925 · PMC13032346 · BMC genomics · 2026 · 8 claims · 8 setups
CoMM-BIP (Contrastive Multi-Modal learning with Biologically Informed Priors) integrates transcriptomic, metabolomic, and phenomic data using pathway-guided attention, information-theoretic disentanglement, and domain-aware augmentations