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).

• Gpc3 selectively suppresses subcutaneous adipogenesis in diet-induced obesity.

  PMID 41779769 · PMC12978566 · PLoS biology · 2026 · 8 claims · 8 setups

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  Gpc3 is an obesity-responsive gene exhibiting reciprocal expression patterns between subcutaneous and visceral adipose depots in mice and humans

  paired iwat asat subcutaneous dia single-cell qpcr

• SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.

  PMID 41691474 · PMC13042402 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  SiCmiR, a two-layer neural network, predicts mature miRNA expression profiles from only 977 LINCS L1000 landmark genes

  tcga k562 pancreatic acth-secreting paired bulk scrna-seq-based

• Identification and Validation of an Autophagy-Related Gene Signature for Prognostic Prediction and Immunotherapy Response in Esophageal Squamous Cell Carcinoma.

  PMID 41681864 · PMC12897147 · Cancers · 2026 · 8 claims · 8 setups

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  A 4-ARG prognostic model (NBEA, CLOCK, NLRX1, MAGEA3) built via stepwise multivariate Cox regression stratifies ESCC patients into high- and low-risk groups with significantly different survival.

  escc gse53625 gse160269 imvigor210 microarray univariate single-cell

• CAF-enriched COL4A6 promotes gastric cancer progression and stromal remodeling despite an inverse association in bulk transcriptomes.

  PMID 41735371 · PMC13031391 · Scientific reports · 2026 · 7 claims · 7 setups

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  COL4A6 carries an inverse association (OR<1) in bulk transcriptome-based risk models despite being markedly upregulated and predominantly localized to the CAF compartment in clinical specimens

  tcga-stad gse66229 gse183904 paired bulk microarray scrna-seq

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Development and validation of an oxidative phosphorylation based prognostic model revealing tumor progression and immune microenvironment in lung adenocarcinoma.

  PMID 41670771 · PMC12996521 · Discover oncology · 2026 · 8 claims · 8 setups

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  OXPHOS activity is significantly elevated in LUAD tumor tissue compared to adjacent normal tissue

  tcga-luad geo lung single-cell bulk ssgsea cibersort