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).

• Strong signature of natural selection within an FHIT intron implicated in prostate cancer risk.

  PMID 18953408 · PMC2568805 · PloS one · 2008 · 8 claims · 8 setups

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  Re-sequencing and genotyping across a 28.5 kb region delineates the prostate cancer risk association within FHIT intron 5 to a 15 kb LD block in European-Americans.

  european-american yoruban japanese case sanger snp linkage

• Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.

  PMID 17010196 · PMC1592491 · BMC genomics · 2006 · 8 claims · 7 setups

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  High-throughput 454 sequencing-by-synthesis of LNCaP cDNA can profile transcript abundance across the transcriptome

  lncap lncap-derived r1881-treated massively blast blat

• Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.

  PMID 35012625 · PMC8743438 · Genome biology · 2022 · 8 claims · 9 setups

  Has reproduction · 68

  GENEVA (Gene Expression Variance Analysis) is a semi-automated framework that mines large-scale public RNA-seq datasets to identify conditions associated with a gene's expression variance

  gtex genetic lncap heart rna-seq meta-analysis electronic

• 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

• Loss of long-range co-expression is a common feature in cancer.

  PMID 41935098 · PMC13247121 · NPJ systems biology and applications · 2026 · 8 claims · 7 setups

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  In cancer, the strongest co-expressed gene pairs (top MI values) are predominantly intra-chromosomal, unlike in normal tissue.

  tissues same bladder cancer bulk differential bootstrap