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Home › Dataset Library › Transcription profiling of mouse stem cell differentiation

Dataset: Transcription profiling of mouse stem cell differentiation

Stem cell development requires selection of specific genetic programs to direct cellular fate. Using microarray technology, we profile...

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Stem cell development requires selection of specific genetic programs to direct cellular fate. Using microarray technology, we profile expression trends at selected timepoints during stem cell differentiation to characterize these changes. Experiment Overall Design: Total RNA was isolated using the Micro-to-Midi isolation kit (Invitrogen), and subjected to comparative gene expression profiling by labelled cRNA hybridization to the mouse genome 430 2.0 microarray (Affymetrix). Data acquired using the GeneChip Scanner 3000 was analyzed with the Genespring GX 7.3 microarray data software bioinformatics suite (Agilent Technologies) restricting the derived gene list to identify differentially expressed genes defined by a >1.5-fold difference and P<0.05. Data population sets were normalized to the undifferentiated phenotype, and quality filtered to eliminate background noise prior to hierarchical clustering.

Species:
mouse

Samples:
7

Source:
E-GEOD-6689

Updated:
Dec.12, 2014

Registered:
Nov.13, 2014


Factors: (via ArrayExpress)
Sample
GSE6689GSM154465
GSE6689GSM238849
GSE6689GSM154466
GSE6689GSM238850
GSE6689GSM154467
GSE6689GSM238852
GSE6689GSM238853

Tags

  • cell
  • genome
  • stem cell

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