Literature DB >> 15908506

Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli.

G Balázsi1, A-L Barabási, Z N Oltvai.   

Abstract

Recent evidence indicates that potential interactions within metabolic, protein-protein interaction, and transcriptional regulatory networks are used differentially according to the environmental conditions in which a cell exists. However, the topological units underlying such differential utilization are not understood. Here we use the transcriptional regulatory network of Escherichia coli to identify such units, called origons, representing regulatory subnetworks that originate at a distinct class of sensor transcription factors. Using microarray data, we find that specific environmental signals affect mRNA expression levels significantly only within the origons responsible for their detection and processing. We also show that small regulatory interaction patterns, called subgraphs and motifs, occupy distinct positions in and between origons, offering insights into their dynamical role in information processing. The identified features are likely to represent a general framework for environmental signal processing in prokaryotes.

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Year:  2005        PMID: 15908506      PMCID: PMC1142363          DOI: 10.1073/pnas.0500365102

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


  34 in total

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Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  Fundamental patterns underlying gene expression profiles: simplicity from complexity.

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3.  Promoter-specific binding of Rap1 revealed by genome-wide maps of protein-DNA association.

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4.  Reverse engineering gene networks using singular value decomposition and robust regression.

Authors:  M K Stephen Yeung; Jesper Tegnér; James J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

5.  Network motifs in the transcriptional regulation network of Escherichia coli.

Authors:  Shai S Shen-Orr; Ron Milo; Shmoolik Mangan; Uri Alon
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

6.  Topological and causal structure of the yeast transcriptional regulatory network.

Authors:  Nabil Guelzim; Samuele Bottani; Paul Bourgine; François Képès
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

7.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
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8.  Dynamic regulation of the tryptophan operon: a modeling study and comparison with experimental data.

Authors:  M Santillan; M C Mackey
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-13       Impact factor: 11.205

9.  Gene expression profiling of Escherichia coli growth transitions: an expanded stringent response model.

Authors:  Dong-Eun Chang; Darren J Smalley; Tyrrell Conway
Journal:  Mol Microbiol       Date:  2002-07       Impact factor: 3.501

10.  Whole-genome discovery of transcription factor binding sites by network-level conservation.

Authors:  Moshe Pritsker; Yir-Chung Liu; Michael A Beer; Saeed Tavazoie
Journal:  Genome Res       Date:  2003-12-12       Impact factor: 9.043

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  87 in total

1.  Optimality and thermodynamics determine the evolution of transcriptional regulatory networks.

Authors:  Marco Avila-Elchiver; Deepak Nagrath; Martin L Yarmush
Journal:  Mol Biosyst       Date:  2011-11-10

2.  Modification of CusSR bacterial two-component systems by the introduction of an inducible positive feedback loop.

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Journal:  J Ind Microbiol Biotechnol       Date:  2012-02-12       Impact factor: 3.346

3.  Comparing genomes to computer operating systems in terms of the topology and evolution of their regulatory control networks.

Authors:  Koon-Kiu Yan; Gang Fang; Nitin Bhardwaj; Roger P Alexander; Mark Gerstein
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

Review 4.  Network inference and network response identification: moving genome-scale data to the next level of biological discovery.

Authors:  Diogo F T Veiga; Bhaskar Dutta; Gábor Balázsi
Journal:  Mol Biosyst       Date:  2009-12-11

5.  Reconstructing the pathways of a cellular system from genome-scale signals by using matrix and tensor computations.

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6.  Network inference, analysis, and modeling in systems biology.

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7.  Structure and evolution of gene regulatory networks in microbial genomes.

Authors:  Sarath Chandra Janga; J Collado-Vides
Journal:  Res Microbiol       Date:  2007-10-15       Impact factor: 3.992

Review 8.  Toward the dynamic interactome: it's about time.

Authors:  Teresa M Przytycka; Mona Singh; Donna K Slonim
Journal:  Brief Bioinform       Date:  2010-01-08       Impact factor: 11.622

Review 9.  Towards genome-scale signalling network reconstructions.

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Journal:  Nat Rev Genet       Date:  2010-04       Impact factor: 53.242

10.  Protein evolution on a human signaling network.

Authors:  Qinghua Cui; Enrico O Purisima; Edwin Wang
Journal:  BMC Syst Biol       Date:  2009-02-18
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