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Home › Dataset Library › Transcription profiling of mouse inbred strains to identify germline cancer modifiers using parental strain expression mapping

Dataset: Transcription profiling of mouse inbred strains to identify germline cancer modifiers using parental strain expression mapping

Inherited genetic risk factors play an important role in cancer. However, other than cancer susceptibility genes found in familial cancer...

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Inherited genetic risk factors play an important role in cancer. However, other than cancer susceptibility genes found in familial cancer syndromes and inherited in a Mendelian fashion, little is known about modifier genes (germline variants that interact with each other and with environmental factors) that contribute to individual susceptibility. Here we develop a strategy “parental strain expression mapping” (PSEM), which utilizes the homogeneity of inbred mice and genome-wide mRNA expression analyses, to directly identify candidate germline modifier genes and pathways underlying phenotypic differences among murine strains exposed to transgenic activation of AKT1. We identified multiple candidate modifier pathways and specifically, the glycolysis pathway as a candidate negative modulator of AKT1-induced proliferation. In keeping with findings in murine models, the expression of the glycolysis pathway was strongly enriched in the non-cancer prostate tissue from patients with prostate cancer who did not recur after surgical resection. Together these data suggest that PSEM can directly identify germline modifier pathways of relevance to human disease. Experiment Overall Design: mRNA expression profiling was carried out with 24 samples of VP from 6 inbred strains.

Species:
mouse

Samples:
24

Source:
E-GEOD-7270

PubMed:
17978178

Updated:
Dec.12, 2014

Registered:
Nov.24, 2014


Factors: (via ArrayExpress)
Sample
GSE7270GSM175350
GSE7270GSM175351
GSE7270GSM175352
GSE7270GSM175353
GSE7270GSM175342
GSE7270GSM175343
GSE7270GSM175344
GSE7270GSM175345
GSE7270GSM175358
GSE7270GSM175359
GSE7270GSM175360
GSE7270GSM175361
GSE7270GSM175362
GSE7270GSM175363
GSE7270GSM175364
GSE7270GSM175365
GSE7270GSM175354
GSE7270GSM175355
GSE7270GSM175356
GSE7270GSM175357
GSE7270GSM175346
GSE7270GSM175347
GSE7270GSM175348
GSE7270GSM175349

Tags

  • cancer
  • disease
  • genome
  • prostate
  • prostate cancer

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