Literature DB >> 15870424

Sensing your surroundings: how transcription-regulatory networks of the cell discern environmental signals.

Gábor Balázsi1, Zoltán N Oltvai.   

Abstract

Accumulating evidence indicates that cells differentially regulate parts of their biochemical networks in various environmental conditions. Two recent studies, focused on the yeast transcription-regulatory network, have identified the characteristics and some of the regulatory logic that defines such conditional regulation on a system level. But what is the underlying basis of such environment-dependent dynamic network utilization? We propose that with simultaneous changes in many environmental variables, cells detect and process the incoming pieces of information individually with the use of receptors and sensor transcription factors specialized to a given type of signal. In turn, transcriptional subnetworks affected by the activity of these proteins reassemble the processed signals deeper inside the network, ultimately resulting in the development of an integrated cellular response.

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Year:  2005        PMID: 15870424     DOI: 10.1126/stke.2822005pe20

Source DB:  PubMed          Journal:  Sci STKE        ISSN: 1525-8882


  15 in total

1.  Enterococcus faecalis reconfigures its transcriptional regulatory network activation at different copper levels.

Authors:  Mauricio Latorre; Jessica Galloway-Peña; Jung Hyeob Roh; Marko Budinich; Angélica Reyes-Jara; Barbara E Murray; Alejandro Maass; Mauricio González
Journal:  Metallomics       Date:  2014-01-02       Impact factor: 4.526

2.  Regulation of central metabolism genes of Mycobacterium tuberculosis by parallel feed-forward loops controlled by sigma factor E (σ(E)).

Authors:  Pratik Datta; Lanbo Shi; Nazia Bibi; Gábor Balázsi; Maria Laura Gennaro
Journal:  J Bacteriol       Date:  2010-12-30       Impact factor: 3.490

3.  Network reconstruction reveals new links between aging and calorie restriction in yeast.

Authors:  Gábor Balázsi
Journal:  HFSP J       Date:  2010-04-06

4.  An update on the strategies in multicomponent activity monitoring within the phytopharmaceutical field.

Authors:  Johanna M Gostner; Oliver A Wrulich; Marcel Jenny; Dietmar Fuchs; Florian Ueberall
Journal:  BMC Complement Altern Med       Date:  2012-03-14       Impact factor: 3.659

Review 5.  Built shallow to maintain homeostasis and persistent infection: insight into the transcriptional regulatory network of the gastric human pathogen Helicobacter pylori.

Authors:  Alberto Danielli; Gabriele Amore; Vincenzo Scarlato
Journal:  PLoS Pathog       Date:  2010-06-10       Impact factor: 6.823

6.  Dissecting the expression patterns of transcription factors across conditions using an integrated network-based approach.

Authors:  Sarath Chandra Janga; Bruno Contreras-Moreira
Journal:  Nucleic Acids Res       Date:  2010-07-14       Impact factor: 16.971

7.  The same receptor, G protein, and mitogen-activated protein kinase pathway activate different downstream regulators in the alternative white and opaque pheromone responses of Candida albicans.

Authors:  Song Yi; Nidhi Sahni; Karla J Daniels; Claude Pujol; Thyagarajan Srikantha; David R Soll
Journal:  Mol Biol Cell       Date:  2007-12-27       Impact factor: 4.138

8.  The regulatory code for transcriptional response diversity and its relation to genome structural properties in A. thaliana.

Authors:  Dirk Walther; Roman Brunnemann; Joachim Selbig
Journal:  PLoS Genet       Date:  2006-12-06       Impact factor: 5.917

9.  Interplay between network structures, regulatory modes and sensing mechanisms of transcription factors in the transcriptional regulatory network of E. coli.

Authors:  S Balaji; M Madan Babu; L Aravind
Journal:  J Mol Biol       Date:  2007-07-03       Impact factor: 5.469

10.  Pathway-focused bioassays and transcriptome analysis contribute to a better activity monitoring of complex herbal remedies.

Authors:  Angela Klein; Oliver A Wrulich; Marcel Jenny; Peter Gruber; Kathrin Becker; Dietmar Fuchs; Johanna M Gostner; Florian Uberall
Journal:  BMC Genomics       Date:  2013-02-27       Impact factor: 3.969

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