Michael B Elowitz
Affiliation: The Rockefeller University
- Modeling a synthetic multicellular clock: repressilators coupled by quorum sensingJordi Garcia-Ojalvo
Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA
Proc Natl Acad Sci U S A 101:10955-60. 2004..As such, the particular system of coupled genetic oscillators considered here might be a good candidate to provide the first quantitative example of a synchronization transition in a population of biological oscillators...
- Stochastic gene expression in a single cellMichael B Elowitz
Laboratory of Cancer Biology, Center for Studies in Physics and Biology, Rockefeller University, New York, NY 10021, USA
Science 297:1183-6. 2002..These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation...
- Intrinsic and extrinsic contributions to stochasticity in gene expressionPeter S Swain
Center for Studies in Physics and Biology and Laboratory for Cancer Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
Proc Natl Acad Sci U S A 99:12795-800. 2002..All results are confirmed by stochastic simulation using plausible parameters for Escherichia coli...
- The presence of p53 mutations in human osteosarcomas correlates with high levels of genomic instabilityMichael Overholtzer
Laboratory of Cancer Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA
Proc Natl Acad Sci U S A 100:11547-52. 2003..These results demonstrate that the inactivation of p53 in osteosarcomas directly by mutation versus indirectly by HDM2 amplification may have different cellular consequences with respect to the stability of the genome...
- Combinatorial synthesis of genetic networksCalin C Guet
Howard Hughes Medical Institute, Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
Science 296:1466-70. 2002..Combinatorial synthesis provides an alternative approach for studying biological networks, as well as an efficient method for producing diverse phenotypes in vivo...
- Tunability and noise dependence in differentiation dynamicsGürol M Süel
Green Center Division for Systems Biology and Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
Science 315:1716-9. 2007..Together, the data reveal a noise-dependent circuit that is remarkably resilient and tunable in terms of its dynamic behavior...
- A fluctuation method to quantify in vivo fluorescence dataNitzan Rosenfeld
Department of Molecular Biology, Weizmann Institute of Science, Rehovot, Israel
Biophys J 91:759-66. 2006..Our technique should provide a quantitative internal calibration to systems biology studies of both synthetic and endogenous cellular networks...
- An excitable gene regulatory circuit induces transient cellular differentiationGürol M Süel
Division of Biology and Department of Applied Physics, California Institute of Technology, Pasadena, California 91125, USA
Nature 440:545-50. 2006..Excitable dynamics driven by noise naturally generate stochastic and transient responses, thereby providing an ideal mechanism for competence regulation...
- Gene regulation at the single-cell levelNitzan Rosenfeld
Departments of Molecular Cell Biology and Physics of Complex Systems, Weizmann Institute of Science, Rehovot, 76100, Israel
Science 307:1962-5. 2005..Thus, biochemical parameters, noise, and slowly varying cellular states together determine the effective single-cell GRF. These results can form a basis for quantitative modeling of natural gene circuits and for design of synthetic ones...
- Negative autoregulation speeds the response times of transcription networksNitzan Rosenfeld
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
J Mol Biol 323:785-93. 2002..This agrees with an analytical solution of a mathematical model for negative autoregulation. This may help in understanding the function of negative autoregulation, which appears in over 40% of known transcription factors in E.coli...
- Accurate prediction of gene feedback circuit behavior from component propertiesNitzan Rosenfeld
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
Mol Syst Biol 3:143. 2007..This demonstration that quantitative characterization of regulatory elements can predict the behavior of genetic circuits supports a fundamental requirement of synthetic biology...
- Programming gene expression with combinatorial promotersRobert Sidney Cox
Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA
Mol Syst Biol 3:145. 2007..Using these results, we identified heuristic rules for programming gene expression with combinatorial promoters...
- Frequency-modulated nuclear localization bursts coordinate gene regulationLong Cai
Howard Hughes Medical Institute, Division of Biology and Department of Applied Physics, California Institute of Technology, M C 114 96, Pasadena, California 91125, USA
Nature 455:485-90. 2008....