Literature DB >> 18669661

Using noise to probe and characterize gene circuits.

Chris D Cox1, James M McCollum, Michael S Allen, Roy D Dar, Michael L Simpson.   

Abstract

Stochastic fluctuations (or "noise") in the single-cell populations of molecular species are shaped by the structure and biokinetic rates of the underlying gene circuit. The structure of the noise is summarized by its autocorrelation function. In this article, we introduce the noise regulatory vector as a generalized framework for making inferences concerning the structure and biokinetic rates of a gene circuit from its noise autocorrelation function. Although most previous studies have focused primarily on the magnitude component of the noise (given by the zero-lag autocorrelation function), our approach also considers the correlation component, which encodes additional information concerning the circuit. Theoretical analyses and simulations of various gene circuits show that the noise regulatory vector is characteristic of the composition of the circuit. Although a particular noise regulatory vector does not map uniquely to a single underlying circuit, it does suggest possible candidate circuits, while excluding others, thereby demonstrating the probative value of noise in gene circuit analysis.

Mesh:

Year:  2008        PMID: 18669661      PMCID: PMC2504843          DOI: 10.1073/pnas.0804829105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

Review 1.  Computational studies of gene regulatory networks: in numero molecular biology.

Authors:  J Hasty; D McMillen; F Isaacs; J J Collins
Journal:  Nat Rev Genet       Date:  2001-04       Impact factor: 53.242

2.  Engineering stability in gene networks by autoregulation.

Authors:  A Becskei; L Serrano
Journal:  Nature       Date:  2000-06-01       Impact factor: 49.962

3.  Intrinsic noise in gene regulatory networks.

Authors:  M Thattai; A van Oudenaarden
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

4.  Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion.

Authors:  A Becskei; B Séraphin; L Serrano
Journal:  EMBO J       Date:  2001-05-15       Impact factor: 11.598

5.  Frequency domain chemical Langevin analysis of stochasticity in gene transcriptional regulation.

Authors:  Michael L Simpson; Chris D Cox; Gary S Sayler
Journal:  J Theor Biol       Date:  2004-08-07       Impact factor: 2.691

6.  The sorting direct method for stochastic simulation of biochemical systems with varying reaction execution behavior.

Authors:  James M McCollum; Gregory D Peterson; Chris D Cox; Michael L Simpson; Nagiza F Samatova
Journal:  Comput Biol Chem       Date:  2006-02       Impact factor: 2.877

7.  Origins of extrinsic variability in eukaryotic gene expression.

Authors:  Dmitri Volfson; Jennifer Marciniak; William J Blake; Natalie Ostroff; Lev S Tsimring; Jeff Hasty
Journal:  Nature       Date:  2005-12-21       Impact factor: 49.962

8.  A bottom-up approach to gene regulation.

Authors:  Nicholas J Guido; Xiao Wang; David Adalsteinsson; David McMillen; Jeff Hasty; Charles R Cantor; Timothy C Elston; J J Collins
Journal:  Nature       Date:  2006-02-16       Impact factor: 49.962

9.  Transient-mediated fate determination in a transcriptional circuit of HIV.

Authors:  Leor S Weinberger; Roy D Dar; Michael L Simpson
Journal:  Nat Genet       Date:  2008-03-16       Impact factor: 38.330

10.  Gene network shaping of inherent noise spectra.

Authors:  D W Austin; M S Allen; J M McCollum; R D Dar; J R Wilgus; G S Sayler; N F Samatova; C D Cox; M L Simpson
Journal:  Nature       Date:  2006-02-02       Impact factor: 49.962

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  28 in total

1.  Defining cooperativity in gene regulation locally through intrinsic noise.

Authors:  M Maienschein-Cline; A Warmflash; A R Dinner
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

2.  Signatures of combinatorial regulation in intrinsic biological noise.

Authors:  Aryeh Warmflash; Aaron R Dinner
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-03       Impact factor: 11.205

3.  Stochastic sensitivity analysis and kernel inference via distributional data.

Authors:  Bochong Li; Lingchong You
Journal:  Biophys J       Date:  2014-09-02       Impact factor: 4.033

Review 4.  Functional roles for noise in genetic circuits.

Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

5.  BET bromodomain-targeting compounds reactivate HIV from latency via a Tat-independent mechanism.

Authors:  Daniela Boehm; Vincenzo Calvanese; Roy D Dar; Sifei Xing; Sebastian Schroeder; Laura Martins; Katherine Aull; Pao-Chen Li; Vicente Planelles; James E Bradner; Ming-Ming Zhou; Robert F Siliciano; Leor Weinberger; Eric Verdin; Melanie Ott
Journal:  Cell Cycle       Date:  2012-02-01       Impact factor: 4.534

6.  Transcriptional burst frequency and burst size are equally modulated across the human genome.

Authors:  Roy D Dar; Brandon S Razooky; Abhyudai Singh; Thomas V Trimeloni; James M McCollum; Chris D Cox; Michael L Simpson; Leor S Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-11       Impact factor: 11.205

Review 7.  Addressing biological uncertainties in engineering gene circuits.

Authors:  Carolyn Zhang; Ryan Tsoi; Lingchong You
Journal:  Integr Biol (Camb)       Date:  2015-12-17       Impact factor: 2.192

8.  Feedback-mediated signal conversion promotes viral fitness.

Authors:  Noam Vardi; Sonali Chaturvedi; Leor S Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-27       Impact factor: 11.205

9.  On the spontaneous stochastic dynamics of a single gene: complexity of the molecular interplay at the promoter.

Authors:  Antoine Coulon; Olivier Gandrillon; Guillaume Beslon
Journal:  BMC Syst Biol       Date:  2010-01-08

10.  Regulatory activity revealed by dynamic correlations in gene expression noise.

Authors:  Mary J Dunlop; Robert Sidney Cox; Joseph H Levine; Richard M Murray; Michael B Elowitz
Journal:  Nat Genet       Date:  2008-12       Impact factor: 38.330

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