Systematic Identification of Signal-Activated Stochastic Gene Regulation

Author:

Neuert Gregor12,Munsky Brian3,Tan Rui Zhen145,Teytelman Leonid1,Khammash Mustafa67,van Oudenaarden Alexander18

Affiliation:

1. Departments of Physics and Biology and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

2. Department of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN 37232, USA.

3. Center for Nonlinear Studies and the Information Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

4. Bioinformatics Institute, A*STAR, Singapore 138671, Singapore.

5. Harvard University Graduate Biophysics Program, Harvard Medical School, Boston, MA 02115, USA.

6. Department of Biosystems Science and Engineering, ETH-Zuerich, 4058 Basel, Switzerland.

7. Center for Control, Dynamical Systems and Computation and Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.

8. Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, Netherlands.

Abstract

Modeling Stress Much is known about various factors (transcription and epigenetic factors) involved in gene transcription, but it is difficult to predict expression at a quantitative level. Neuert et al. (p. 584 ) developed an integrated experimental and computational procedure to capture, predict, and understand the temporal dynamics of signal-activated gene regulation at single-molecule and single-cell resolution. The approach explores models of varying complexity and uses cross-validation analyses to estimate when models are too simple to be accurate or too complex to be precise. These approaches identify and validate a model that describes and predicts the quantitative messenger RNA dynamics of three genes activated by mitogen-activated protein kinase signaling during cellular stress in yeast.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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