Literature DB >> 7703921

Dynamical behaviour of biological regulatory networks--II. Immunity control in bacteriophage lambda.

D Thieffry1, R Thomas.   

Abstract

A number of bacterial and viral genes take part in the decision between lysis and lysogenization in temperate bacteriophages. In the lambda case, at least five viral genes (cI, cro, cII, N and cIII) and several bacterial genes are involved. Several attempts have been made to model this complex regulatory network. Our approach is based on a logical method described in the first paper of the series which formalizes the interactions between the elements of a regulatory network in terms of discrete variables, functions and parameters. In this paper two models are described and discussed, the first (two-variable model) focused on cI and cro interactions, the second (four-variable model) considering, in addition, genes cII and N. The treatment presented emphasizes the roles of positive and negative feedback loops and their interactions in the development of the phage. The role of the loops between cI and cro, and of cI on itself (which both have to be positive loops) was discovered earlier; this group's contribution to this aspect mainly deals with the possibility of treating these loops as parts of a more extended network. In contrast, the role of the negative loop of cro on itself had apparently remained unexplained. We realized that this loop buffers the expression of genes cro itself. cII, O and P against the inflation due to the rapid replication of the phage. More generally, negative auto-control of a gene appears an efficient way to render its expression insensitive (or less sensitive) to gene dosage, whereas a simple negative control would not provide this result.

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Year:  1995        PMID: 7703921     DOI: 10.1007/bf02460619

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  19 in total

1.  The OR control system of bacteriophage lambda. A physical-chemical model for gene regulation.

Authors:  M A Shea; G K Ackers
Journal:  J Mol Biol       Date:  1985-01-20       Impact factor: 5.469

2.  Regulation of lambda dv plasmid DNA replication. A quantitative model for control of plasmid lambda dv replication in the bacterial cell division cycle.

Authors:  D D Womble; R H Rownd
Journal:  J Mol Biol       Date:  1986-10-05       Impact factor: 5.469

3.  Regulation of gene expression in bacteriophage lambda.

Authors:  R Thomas
Journal:  Curr Top Microbiol Immunol       Date:  1971       Impact factor: 4.291

4.  The antirepressor: a new element in the regulation of protein synthesis.

Authors:  A B Oppenheim; Z Neubauer; E Calef
Journal:  Nature       Date:  1970-04-04       Impact factor: 49.962

5.  Regulation of repressor expression in lambda.

Authors:  H Eisen; P Brachet; L Pereira da Silva; F Jacob
Journal:  Proc Natl Acad Sci U S A       Date:  1970-07       Impact factor: 11.205

6.  A mathematical model for lambda dv plasmid replication: analysis of copy number mutants.

Authors:  S B Lee; J E Bailey
Journal:  Plasmid       Date:  1984-03       Impact factor: 3.466

Review 7.  The lysis-lysogeny decision of phage lambda: explicit programming and responsiveness.

Authors:  I Herskowitz; D Hagen
Journal:  Annu Rev Genet       Date:  1980       Impact factor: 16.830

Review 8.  Genetic analysis of the N transcription antitermination system of phage lambda.

Authors:  D I Friedman; A E Granston; D Thompson; A T Schauer; E R Olson
Journal:  Genome       Date:  1989       Impact factor: 2.166

9.  Quantitative model for gene regulation by lambda phage repressor.

Authors:  G K Ackers; A D Johnson; M A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

10.  Control of bacteriophage lambda CII activity by bacteriophage and host functions.

Authors:  A Rattray; S Altuvia; G Mahajna; A B Oppenheim; M Gottesman
Journal:  J Bacteriol       Date:  1984-07       Impact factor: 3.490

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  26 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-13       Impact factor: 11.205

Review 2.  Dynamical systems approach to endothelial heterogeneity.

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3.  Identification of bifurcation transitions in biological regulatory networks using Answer-Set Programming.

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Journal:  Algorithms Mol Biol       Date:  2017-08-15       Impact factor: 1.405

5.  Control of Intracellular Molecular Networks Using Algebraic Methods.

Authors:  Luis Sordo Vieira; Reinhard C Laubenbacher; David Murrugarra
Journal:  Bull Math Biol       Date:  2019-12-23       Impact factor: 1.758

Review 6.  Multi-parameter exploration of dynamics of regulatory networks.

Authors:  Tomáš Gedeon
Journal:  Biosystems       Date:  2020-02-10       Impact factor: 1.973

7.  Incremental and unifying modelling formalism for biological interaction networks.

Authors:  Anastasia Yartseva; Hanna Klaudel; Raymond Devillers; François Képès
Journal:  BMC Bioinformatics       Date:  2007-11-08       Impact factor: 3.169

8.  Dynamic models of immune responses: what is the ideal level of detail?

Authors:  Juilee Thakar; Mary Poss; Réka Albert; Gráinne H Long; Ranran Zhang
Journal:  Theor Biol Med Model       Date:  2010-08-20       Impact factor: 2.432

9.  Punctuated evolution and robustness in morphogenesis.

Authors:  D Grigoriev; J Reinitz; S Vakulenko; A Weber
Journal:  Biosystems       Date:  2014-07-01       Impact factor: 1.973

10.  Modeling stochasticity and variability in gene regulatory networks.

Authors:  David Murrugarra; Alan Veliz-Cuba; Boris Aguilar; Seda Arat; Reinhard Laubenbacher
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-06-06
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