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Synthetic enhancer design by in silico compensatory evolution reveals flexibility and constraint in cis-regulation.

Kenneth A BarrCarlos MartinezJennifer R MoranAh-Ram KimAlexandre F RamosJohn Reinitz
Published in: BMC systems biology (2017)
Here, we present a functional model of gene regulation to test the degree to which the known transcription factors and their interactions explain the activity of the Drosophila even-skipped stripe 2 enhancer. Initial success in the first trajectory showed that the gene regulation model explains much of the function of the stripe 2 enhancer. Cases where expression deviated from prediction indicates that undescribed factors likely act to modulate expression. We also showed that activation driven Bicoid and Hunchback is highly sensitive to spatial organization of binding motifs. In contrast, Zelda and Stat92E drive expression from simple homotypic clusters, suggesting that activation driven by these factors is less constrained. Collectively, the 40 sequences generated in this work provides a powerful training set for building future models of gene regulation.
Keyphrases
  • binding protein
  • poor prognosis
  • transcription factor
  • magnetic resonance
  • long non coding rna
  • magnetic resonance imaging
  • computed tomography
  • fluorescent probe
  • molecularly imprinted
  • single molecule