Laboratory for Control, Learning, and Systems Biology

gene expression

2014
  1. T.H. Segall-Shapiro, A.J. Meyer, A.D. Ellington, E.D. Sontag, C.A. Voigt, "A `resource allocator' for transcription based on a highly fragmented T7 RNA polymerase", Molecular Systems Biology, vol. 10, pp. 742-, 2014. wwwpdf
    Abstract

    A transcriptional system is built based on a 'resource allocator' that sets a core RNAP concentration, which is then shared by multiple sigma fragments, which provide specificity. Adjusting the concentration of the core sets the maximum transcriptional capacity available to a synthetic system.

2013
  1. V. Shimoga, J.T. White, Y. Li, E.D. Sontag, L. Bleris, "Synthetic mammalian transgene negative autoregulation", Molecular Systems Biology, vol. 9, pp. 670-, 2013. pdf
    Abstract

    Using synthetic circuits stably integrated in human kidney cells, we study the effect of negative feedback regulation on cell-wide (extrinsic) and gene-specific (intrinsic) sources of uncertainty. We develop a theoretical approach to extract the two noise components from experiments and show that negative feedback reduces extrinsic noise while marginally increasing intrinsic noise, resulting to significant total noise reduction. We compare the results to simple negative regulation, where a constitutively transcribed transcription factor represses a reporter protein. We observe that the control architecture also reduces the extrinsic noise but results in substantially higher intrinsic fluctuations. We conclude that negative feedback is the most efficient way to mitigate the effects of extrinsic fluctuations by a sole regulatory wiring.