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).

• Cross species genomic analysis identifies a mouse model as undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma.

  PMID 19956606 · PMC2779485 · PloS one · 2009 · 8 claims · 7 setups

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  A 100-gene signature from LSL-KrasG12D;Trp53Flox/Flox mouse sarcomas (vs normal muscle) is specifically and significantly enriched in human MFH but not other soft tissue sarcoma subtypes across three independent human datasets.

  lsl-krasg12d soft combined mfh microarray gene oncogenic

• Alterations of E-cadherin and beta-catenin in gastric cancer.

  PMID 11747475 · PMC60969 · BMC cancer · 2001 · 8 claims · 5 setups

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  High frequency (75%) of loss of heterozygosity (LOH) at 16q22.1, the E-cadherin locus, occurs in primary gastric tumours

  gastric normal paraffin-embedded loh mutation a592t

• Functional copy-number alterations in cancer.

  PMID 18784837 · PMC2527508 · PloS one · 2008 · 8 claims · 3 setups

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  RAE is a comprehensive computational framework that robustly maps chromosomal alterations in tumor samples and statistically assesses their functional importance in cancer.

  pleomorphic hapmap large snp computational

• Abnormalities of the p53 MDM2 and DCC genes in human leiomyosarcomas.

  PMID 8198970 · PMC1969417 · British journal of cancer · 1994 · 6 claims · 8 setups

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  A significant minority of leiomyosarcomas harbor p53 gene point mutations or deletions

  leiomyosarcomas frozen leiomyosarcoma sarcoma sscp direct immunohistochemistry

• An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.

  PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups

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  A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.

  lung known leukemia tumor paired-end computational snp