Literature DB >> 15721042

A feedforward loop motif in transcriptional regulation: induction and repression.

F Hayot1, C Jayaprakash.   

Abstract

We study the dynamical behavior of a unit of three positive transcriptional regulators which occurs frequently in biological networks of yeast and bacteria as a feedforward loop. We investigate numerically a set of reactions incorporating the basic features of transcription and translation. We determine (i) how the feedforward loop motif functions as a computational element such as an AND gate in the presence of stochastic fluctuations, and (ii) the robustness of the motif when transcription at the primary level is suddenly repressed. We highlight the effective time-scales which underlie both of these aspects of the feedforward loop motif. We show how threshold behavior of the motif output arises as a function of the number of external inducers as well as the time over which the inducer acts. We discuss how individual cell behavior can deviate significantly from average behavior, due to intrinsic fluctuations in the small number of molecules present in a cell.

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Year:  2005        PMID: 15721042     DOI: 10.1016/j.jtbi.2004.11.010

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  16 in total

1.  A self-propelled biological process: Plk1-dependent, product-activated feedforward mechanism.

Authors:  Eun Jung Park; Raymond L Erikson; Kyung S Lee
Journal:  Cell Cycle       Date:  2011-10-15       Impact factor: 4.534

Review 2.  Insights into the organization of biochemical regulatory networks using graph theory analyses.

Authors:  Avi Ma'ayan
Journal:  J Biol Chem       Date:  2008-10-20       Impact factor: 5.157

3.  Feed-forward mechanism of converting biochemical cooperativity to mitotic processes at the kinetochore plate.

Authors:  Jung-Eun Park; Raymond L Erikson; Kyung S Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-27       Impact factor: 11.205

4.  PANET: a GPU-based tool for fast parallel analysis of robustness dynamics and feed-forward/feedback loop structures in large-scale biological networks.

Authors:  Hung-Cuong Trinh; Duc-Hau Le; Yung-Keun Kwon
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

5.  Functions of bifans in context of multiple regulatory motifs in signaling networks.

Authors:  Azi Lipshtat; Sudarshan P Purushothaman; Ravi Iyengar; Avi Ma'ayan
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

6.  Network motifs: structure does not determine function.

Authors:  Piers J Ingram; Michael P H Stumpf; Jaroslav Stark
Journal:  BMC Genomics       Date:  2006-05-05       Impact factor: 3.969

7.  Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions.

Authors:  Javier Carrera; Guillermo Rodrigo; Alfonso Jaramillo; Santiago F Elena
Journal:  Genome Biol       Date:  2009-09-15       Impact factor: 13.583

8.  Simulating in vitro transcriptional response of zinc homeostasis system in Escherichia coli.

Authors:  Jiangjun Cui; Jaap A Kaandorp; Catherine M Lloyd
Journal:  BMC Syst Biol       Date:  2008-10-24

9.  Specialized or flexible feed-forward loop motifs: a question of topology.

Authors:  Javier Macía; Stefanie Widder; Ricard Solé
Journal:  BMC Syst Biol       Date:  2009-08-31

10.  Nonidentifiability of the source of intrinsic noise in gene expression from single-burst data.

Authors:  Piers J Ingram; Michael P H Stumpf; Jaroslav Stark
Journal:  PLoS Comput Biol       Date:  2008-10-10       Impact factor: 4.475

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