MBI Publications

MBI Publications for Baltazar Aguda (5)

  • G. Cracium, B. Aguda and A. Friedman
    Mathematical Analysis of a Modular Network Coordinating the Cell Cycle and Apoptosis
    Mathematical Biosciences an dEngineeringVol. 2 No. 3 (2005) pp. 473-485

    Abstract

  • B. Aguda, G. Cracium and R. Cetin-Atalay
    Data Sources and Computational Approaches for Generating Models of Gene Regulatory Networks, book chapter
    Reviews in Computational ChemistryVol. 21 (2005)

    Abstract

  • B. Aguda, Y. Kim, M. Piper-Hunter, A. Friedman and C. Marsh
    MicroRNA Regulation of a Cancer Network: Consequences of the Feedback Loops Involving miR-17-92, E2F, and Myc
    PNASVol. 105 No. 50 (2008) pp. 19678-19683

    Abstract

  • B. Aguda, Y. Kim, M. Piper-Hunter, A. Friedman and C. Marsh
    MicroRNA Regulation of a Cancer Network: Consequences of the Feedback Loops Involving miR-17-92, E2F, and Myc
    PNASVol. 105 No. 50 (2008) pp. 19678-19683

    Abstract

    The transcription factors E2F and Myc participate in the control of cell proliferation and apoptosis, and can act as oncogenes or tumor suppressors depending on their levels of expression. Positive feedback loops in the regulation of these factors are predicted-and recently shown experimentally-to lead to bistability, which is a phenomenon characterized by the existence of low and high protein levels ("off" and "on" levels, respectively), with sharp transitions between levels being inducible by, for example, changes in growth factor concentrations. E2F and Myc are inhibited at the posttranscriptional step by members of a cluster of microRNAs (miRs) called miR-17-92. In return, E2F and Myc induce the transcription of miR-17-92, thus forming a negative feedback loop in the interaction network. The consequences of the coupling between the E2F/Myc positive feedback loops and the E2F/Myc/miR-17-92 negative feedback loop are analyzed using a mathematical model. The model predicts that miR-17-92 plays a critical role in regulating the position of the off-on switch in E2F/Myc protein levels, and in determining the on levels of these proteins. The model also predicts large-amplitude protein oscillations that coexist with the off steady state levels. Using the concept and model prediction of a "cancer zone," the oncogenic and tumor suppressor properties of miR-17-92 is demonstrated to parallel the same properties of E2F and Myc.
  • B. Aguda, Y. Kim, H. Kim, A. Friedman and H. Fine
    Qualitative network modeling of the MYC-p53 control system of cell proliferation and differentiation
    Biophysical JournalVol. 101 No. 9 (2011) pp. 2082-2091

    Abstract

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